Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 67
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The aim of the paper is to draw attention to risks and challenges faced by the national grid infrastructure both in the area of transmission and distribution. The study presents the characteristics of the network grid in the area of transmission and distribution. The threats concerning the transmission and distribution infrastructure were also discussed. Both the national transmission and the distribution grids are adapted to presently occurring typical conditions of the demand on electricity and to the execution of internal tasks in normal states, but they may pose a potential threat to the security of the energy supplies. In the context of the forecasted future growth of the electricity demand, the insufficient capacity of the National Power System in domestic sources and sources available through interconnections, the uneven distribution of sources and customers with the lack of adequate grid transmission capacity, the necessity to improve the quality and reliability of energy supply to end users and to intensively develop renewable energy sources, the current grid infrastructure in the area of transmission and distribution will be insufficient. It will be necessary to expand and modernize the 400 and 220 kV transmission grid, the 110 kV distribution grid, in large urban agglomerations in particular, the MV distribution grid in rural areas in particular, and to implement investments aimed at increasing the export and import capacities of the National Power System. The paper presents challenges faced by transmission and distribution system operators. They mainly concern the field of investments and the area related to the preparation and implementation of investments in the grid. These challenges result from national legislation which is inappropriate and imposes many legal and administrative barriers substantially limiting the speed and effectiveness of the investment process.
Go to article

Authors and Affiliations

Waldemar Dołęga
Download PDF Download RIS Download Bibtex

Abstract

The grid method is the most widely used technique for measurement-based noise assessment, and indeed is part of the ISO 1996-2 standard. Nevertheless it has certain disadvantages. The present work is an analysis of the grid method for evaluating noise, firstly in the city of Cáceres and, secondly in two other smaller towns. Using as reference a 200 metre grid study, a study was made of the effect of varying the size and form of the grid on the city’s overall noise value, the percentage of data found to lie above some reference thresholds, and the noise value assigned to a certain zone of the city. The ISO 1996 recommendations of the necessity of new sampling points and the method’s predictive capacity for these new measurements were also analyzed.

Go to article

Authors and Affiliations

Valentín Gómez Escobar
Juan Miguel Barrigón Morillas
Guillermo Rey Gozalo
Rosendo Vílchez-Gómez
Javier Carmona Del Río
Juan A. Méndez Sierra
Download PDF Download RIS Download Bibtex

Abstract

This paper presents a computationally efficient method for modelling an impact of the converter drive on the power grid. The formalized variable structure method (FVSM) allows for comprehensive studies of the effect on the power grid and examining the relation between this effect and the number of drive and feeding line parameters. In order to obtain a comprehensive model along with the model of the power grid, the parameters that are applied originate from a drive of a coal-fired power station. These parameters have been determined based on assessment and estimation. The estimation process was conducted with the aid of a model that allows for the commutation of power electronic elements. The authors confirmed that the model was correct by comparing empirical and theoretical voltage and current waveforms. Harmonic content of the voltage and current in the power grid which feeds the drive are considered to be the measure of the converter drive impact on the power grid. The standard method for the reduction of a harmonic content in the voltage and current involves the application of line reactors and distribution or converter transformers. As an example, the authors determine the impact of the drive on the power grid with respect to the adopted parameters of the line reactor. This example presents FVSM abilities with regard to simulation of complex systems that contain power grid components and converter drives.

Go to article

Authors and Affiliations

Ryszard Beniak
Arkadiusz Gardecki
Download PDF Download RIS Download Bibtex

Abstract

This paper provides a method for simplified description of a regional power grid model aimed to deliver a grid reduction, and improve grid performance observability. The derived power grid model can be used to analyze the regional allocation of the decentralized energy generation and consumption. The expansion of wind and solar generation in the power system affects the residual load. The power balance between electricity consumption and generation was calculated and analyzed based on the temporal and spatial scales. The proposed grid clustering method is a useful approach for performance analysis in systems with a growing share of renewable generation.
Go to article

Authors and Affiliations

Yang Li
1
ORCID: ORCID
Przemysław Janik
2
ORCID: ORCID
Harald Schwarz
1
Klaus Pfeiffer
1

  1. Brandenburg University of Technology Cottbus-Senftenberg, Department of Energy Distribution and High Voltage Engineering, 03046 Cottbus, Germany
  2. Wrocław University of Science and Technology, Department of Electrical Engineering Fundamentals, 50-377 Wrocław, Poland
Download PDF Download RIS Download Bibtex

Abstract

Growing popularity of distributed generation is drawing special attention to communication technologies in smart power grids. This paper provides a detailed overview of the communication protocols utilized in the modern distributed grid laboratory. It describes both wired and wireless technologies used in Smart Grid and presents the remote operation of switching the subsystem from grid mode to island mode operating under nominal conditions. It shows the duration of power outages during a transfer to island mode with diesel generator running on idle - which simulates planned islanding and diesel generator stationary, which simulates unplanned islanding. Latency between registration of disturbance and executing control command is measured. The results obtained are compared with current legislation. The consequences to the power system that are possible in both scenarios are highlighted. Obtained results and description of the communication technologies can be useful for the design of distributed power grids, island-mode power grids, and Smart Grids, as well as for further research in the area of using combustion fuel generators as a primary power supply in the microgrid.
Go to article

Authors and Affiliations

Kamil Prokop
1
Andrzej Bień
1
Szymon Barczentewicz
1

  1. AGH University of Science and Technology, Kraków, Poland
Download PDF Download RIS Download Bibtex

Abstract

The paper looks at the issues of operation safety of the national power grid and the characteristics

of the national power grid in the areas of transmission and distribution. The issues of

operation safety of the national transmission and distribution grid were discussed as well as threats

to operation safety and security of the electricity supply related to these grids. Failures in the

transmission and distribution grid in 2017, caused by extreme weather conditions such as: a violent

storm at the night of 11/12.08.2017, hurricane Ksawery on 5–8.10.2017, and hurricane Grzegorz on

29–30.10.2017, the effects of which affected tens of thousands of electricity consumers and led to

significant interruptions in the supply of electricity were presented. At present, the national power

(transmission and distribution) grid does not pose a threat to the operation safety and security of

the electricity supply, and is adapted to the current typical conditions of electricity demand and the

performance of tasks during a normal state of affairs, but locally may pose threats, especially in

extreme weather conditions. A potentially high threat to the operation safety of the national power

grid is closely linked to: age, technical condition and the degree of depletion of the transmission and

distribution grids, and their high failure rate due to weather anomalies. Therefore, it is necessary

to develop and modernize the 400 and 220 kV transmission grids, cross-border interconnections,

and the 110 kV distribution grid (especially in the area of large urban agglomerations), and the MV

distribution grid (especially in rural areas). The challenges faced by the transmission and distribution

grid operators within the scope of investment and operating activities, with a view to avoiding

or at least reducing the scale of grid failures in the case of future sudden high-intensity atmospheric

phenomena, are presented.

Go to article

Authors and Affiliations

Waldemar Dołęga
Download PDF Download RIS Download Bibtex

Abstract

The optimization of cut-off grades is a fundamental issue for metallic ore deposits. The cut-off grade is used to classify the material as ore or waste. Due to the time value of money, in order to achieve the maximum net present value, an optimum schedules of cut-off grades must be used. The depletion rate is the rate of depletion of a mineral deposit. Variable mining costs are to be applied to the really excavated material, as some of the depletion can be left in-situ. Due to access constraints, some of the blocks that have an average grade less than the determined cut-off grade are left in-situ, some of them are excavated and dumped as waste material. Naturally, variable mining costs should be applied to the blocks of a mineral deposit that are actually excavated. The probability density function of an exponential distribution is used to find the portion of the depletion rate over the production rate that is to be left in-situ. As a result, inverse probability density function is to be applied as the portion of the depletion rate over the production rate that is to be excavated and dumped. The parts of a mineral deposit that are excavated but will be dumped as waste material incur some additional cost of rehabilitation that is to be included in the algorithm of the cut-off grades optimization. This paper describes the general problem of cut-off grades optimization and outlines the further extension of the method including various depletion rates and variable rehabilitation cost. The author introduces the general background of the use of grid search in cut-off grades optimization by using various depletion rates and variable rehabilitation cost. The software developed in this subject is checked by means of a case study.
Go to article

Authors and Affiliations

Cetin Erhan
Download PDF Download RIS Download Bibtex

Abstract

Population data are generally provided by state census organisations at the pre- defined census enumeration units. However, these datasets very are often required at user- defined spatial units that differ from the census output levels. A number of population estimation techniques have been developed to address these problems. This article is one of those attempts aimed at improving county level population estimates by using spatial disaggregation models with support of buildings characteristic, derived from national topographic database, and average area of a flat. The experimental gridded population surface was created for Opatów county, sparsely populated rural region located in Central Poland. The method relies on geolocation of population counts in buildings, taking into account the building volume and structural building type and then aggregation the people total in 1 km quadrilateral grid. The overall quality of population distribution surface expressed by the mean of RMSE equals 9 persons, and the MAE equals 0.01. We also discovered that nearly 20% of total county area is unpopulated and 80% of people lived on 33% of the county territory.
Go to article

Authors and Affiliations

Beata Calka
Elżbieta Bielecka
Katarzyna Zdunkiewicz
Download PDF Download RIS Download Bibtex

Abstract

The paper presents functionality and operation results of a system for creating dynamic maps of acoustic noise employing the PL-Grid infrastructure extended with a distributed sensor network. The work presented provides a demonstration of the services being prepared within the PLGrid Plus project for measuring, modeling and rendering data related to noise level distribution in city agglomerations. Specific computational environments, the so-called domain grids, are developed in the mentioned project. For particular domain grids, specialized IT solutions are prepared, i.e. software implementation and hardware (infrastructure adaptation), dedicated for particular researcher groups demands, including acoustics (the domain grid “Acoustics”). The infrastructure and the software developed can be utilized mainly for research and education purposes, however it can also help in urban planning. The engineered software is intended for creating maps of noise threat for road, railways and industrial sources. Integration of the software services with the distributed sensor network enables automatic updating noise maps for a specific time period. The unique feature of the developed software is a possibility of evaluating auditory effects which are caused by the exposure to excessive noise. The estimation of auditory effects is based on calculated noise levels in a given exposure period. The outcomes of this research study are presented in a form of the cumulative noise dose and the characteristics of the temporary threshold shift.
Go to article

Authors and Affiliations

Bożena Kostek
Andrzej Czyżewski
Józef Kotus
Maciej Szczodrak
Download PDF Download RIS Download Bibtex

Abstract

In this paper a system of a grid side and a generator side converters, both working with a common capacitor, is presented. The 6-phase asymmetric inset-type SMPMSM generator is used. A large pole pair number of this generator enables a gearless wind turbine operation. The fundamental and 3rd harmonic cooperation is used to increase the generator performance. This is accomplished by means of the 3rd harmonic current injection. For that reason the generator side converter must have a neutral connection.

Go to article

Authors and Affiliations

Marek Gołębiowski
Lesław Gołębiowski
Damian Mazur
Matthias Humer
Download PDF Download RIS Download Bibtex

Abstract

Current methods of fault diagnosis for the grounding grid using DC or AC are limited in accuracy and cannot be used to identify the locations of the faults. In this study, a new method of fault diagnosis for substation grounding grids is proposed using a square-wave. A frequency model of the grounding system is constructed by analyzing the frequency characteristics of the soil and the grounding conductors into which two different frequency square-wave sources are injected. By analyzing and comparing the corresponding information of the surface potentials of the output signals, the faults of the grounding grid can be diagnosed and located. Our method is verified by software simulation, scale model experiments and field experiments.

Go to article

Authors and Affiliations

Peng-He Zhang
Jun-Jia He
Dan-Dan Zhang
Lan-Min Wu
Download PDF Download RIS Download Bibtex

Abstract

An intelligent boundary switch is a three-phase outdoor power distribution device equipped with a controller. It is installed at the boundary point on the medium voltage overhead distribution lines. It can automatically remove the single-phase-to-ground fault and isolation phase-to-phase short-circuit fault. Firstly, the structure of an intelligent boundary switch is studied, and then the fault detection principle is also investigated. The single-phase-to-ground fault and phase-to-phase short-circuit fault are studied respectively. A method using overcurrent to judge the short-circuit fault is presented. The characteristics of the single-phase-to-ground fault on an ungrounded distribution system and compositional grounded distribution system are analyzed. Based on these characteristics, a method using zero sequence current to detect the single-phase-to-ground fault is proposed. The research results of this paper give a reference for the specification and use of intelligent boundary switches.

Go to article

Authors and Affiliations

Ling Liu
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

The paper presents an evaluation of MV/LV power transformer damage risk due to the impact of ambient temperature at their operation location. It features a presentation of the method of evaluating the power structures’ reliability in the conditions of the structures’ variable durability and exposure values. Based on perennial observations of ambient temperature and failure rate of MV/LV transformers, it was demonstrated that temperature is a factor that causes damage or is jointly responsible for the damage caused in all of the devices’ other failures.
Go to article

Bibliography

[1] Bolzern P., Fronza G., Role of weather inputs in short-term forecasting of electric load, International Journal of Electrical Power and Energy Systems, vol. 8, iss. 1, pp. 42–46 (1986).
[2] Chojnacki A.Ł., Chojnacka K.J., Reliability of electric power distribution networks, Publishing House of the Kielce University of Technology (in Polish), Kielce (2018).
[3] Chojnacki A.Ł., Analysis of operational reliability of electric power distribution networks, Publishing House of the Kielce University of Technology (in Polish), Kielce (2013).
[4] Chojnacki A., Reliability parameters and properties of MV/LV transformers, Electrical Review (in Polish), no. 4, pp. 74–77 (2008).
[5] Collins S., Deane P., Gallachoir B., Pfenninger S., Staffell I., Impacts of Inter-annual Wind and Solar Variations on the European Power System, Joule, vol. 2, iss. 10, pp. 2076–2090 (2018), DOI: 10.1016/j.joule.2018.06.020.
[6] Johnson M., Gorospe G., Landry J., Schuster A., Review of mitigation technologies for terrestrial power grids against space weather effects, International Journal of Electrical Power and Energy Systems, vol. 82, pp. 382–391 (2016), DOI: 10.1016/j.ijepes.2016.02.049.
[7] Migdalski J., Reliability engineering – handbook, ATR Bydgoszcz i Zetom Warszawa (in Polish) (1992).
[8] Military Standardization Handbook. Reliability Prediction of Electronic Equipment, MIL-HDBK 217B. U.S. Government Printing Office, Washington (1974).
[9] Narimani A., Nourbakhsh G., Ledwich G.F.,Walker G.R., Optimum electricity purchase scheduling for aggregator storage in a reliability framework for rural distribution networks, International Journal of Electrical Power and Energy Systems, vol. 94, pp. 363–373 (2018), DOI: 10.1016/j.ijepes.2017.08.001.
[10] Paliwal N.K., Singh A.K., Singh N.K., Short-term Optimal Energy Management in Stand-alone Microgrid With Battery Energy Storage, Archives of Electrical Engineering, vol. 67, no. 3, pp. 499–513 (2018), DOI: 10.24425/123659.
[11] Panteli M., Pickering C.,Wilkinson S., Dawson R., Mancarella P., Power System Resilience to Extreme Weather: Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures, IEEE Transactions on Power Systems, vol. 32, iss. 5, pp. 3747–3757 (2017), DOI: 10.1109/TPWRS.2016.2641463.
[12] PN-N-50191:1993 Terminology of electrics – Reliability, quality of service.
[13] Sousa B.J.O., Humayun M., Pihkala A., Lehtonen M.I., Three-layer seasonal reliability analysis in meshed overhead and underground subtransmission networks in the presence of co-generation, International Journal of Electrical Power and Energy Systems, vol. 63, pp. 555–564 (2014), DOI: 10.1016/j.ijepes.2014.06.026.
[14] Stobiecki A., Analysis of the reliability parameters of medium voltage distribution transformers, Doctoral dissertation (in Polish), Kielce (2006).
[15] Stobiecki A., Failures of 15/0.4 kV transformers in the power grid, Energetics (in Polish), no. 2, pp. 89–92 (2004).
Go to article

Authors and Affiliations

Andrzej Łukasz Chojnacki
1
ORCID: ORCID

  1. Department of Power Engineering, Power Electronics and Electrical Machines, Kielce University of Technology, Poland
Download PDF Download RIS Download Bibtex

Abstract

The Convolutional Neural Network (CNN) model is one of the most effective models for load forecasting with hyperparameters which can be used not only to determine the CNN structure and but also to train the CNN model. This paper proposes a framework for Grid Search hyperparameters of the CNN model. In a training process, the optimal models will specify conditions that satisfy requirement for minimum of accuracy scores of Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE). In the testing process, these optimal models will be used to evaluate the results along with all other ones. The results indicated that the optimal models have accuracy scores near the minimum values. Load demand data of Queensland (Australia) and Ho Chi Minh City (Vietnam) were utilized to verify the accuracy and reliability of the Grid Search framework.
Go to article

Bibliography

[1] Walther J., Spanier D., Panten N., Abele E., Very short-term load forecasting on factory level – A machine learning approach, Procedia CIRP, vol. 80, pp. 705–710 (2019).
[2] Aydarous A.A., Elshahed M.A., Hassan M.M.A., Short-Term Load Forecasting Approach Based on Different Input Methods of One Variable: Conceptual and Validation Study, 2018 Twentieth International Middle East Power Systems Conference (MEPCON), Cairo, Egypt, pp. 179–184 (2018).
[3] Raza M.Q., Khosravi A., A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings, Renew. Sustain. Energy Rev., vol. 50, pp. 1352–1372 (2015).
[4] Walther J., Spanier D., Panten N., Abele E., Very short-term load forecasting on factory level – A machine learning approach, Procedia CIRP, vol. 80, pp. 705–710 (2019).
[5] Khan S., Javaid N., Chand A., Abbasi R.A., Khan A.B.M., Faisal H.M., Forecasting day, week and month ahead electricity load consumption of a building using empirical mode decomposition and extreme learning machine, 2019 15th InternationalWireless Communications and Mobile Computing Conference (IWCMC), Tangier, Morocco, pp. 1600–1605 (2019).
[6] Joshi M., Singh R., Short-term load forecasting approaches: A review, International Journal of Recent Engineering Research and Development (IJRERD), no. 01, pp. 9–17 (2015).
[7] Cao Z., Member S., Wan C., Zhang Z., Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-voltage Load Forecasting, IEEE Trans. Power Syst., p. 1 (2019).
[8] Yu Y., Ji T.Y., Li M.S., Wu Q.H., Short-term Load Forecasting Using Deep Belief Network with Empirical Mode Decomposition and Local Predictor, 2018 IEEE Power and Energy Society General Meeting (PESGM), Portland, OR, pp. 1–5 (2018).
[9] Yang J.,Wang Q., A Deep Learning Load Forecasting Method Based on Load Type Recognition, 2018 International Conference on Machine Learning and Cybernetics (ICMLC), Chengdu, pp. 173–177 (2018).
[10] Krishnakumari K., Sivasankar E., Radhakrishnan S., Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC), Soft Comput., vol. 24, no. 5, pp. 3511–3527 (2020).
[11] Subramanian S.V., Rao A.H., Deep-learning based time series forecasting of go-around incidents in the national airspace system, AIAA Model. Simul. Technol. Conf. 2018, no. 209959 (2018).
[12] Zahid M. et al., Electricity price and load forecasting using enhanced convolutional neural network and enhanced support vector regression in smart grids, Electronics, vol. 8, no. 2, pp. 1–32 (2019).
[13] Nurshazlyn Mohd Aszemi, Dhanapal Durai Dominic Panneer Selvam, Hyperparameter optimization in convolutional neural network using genetic algorithms, Int. J. Adv. Comput. Sci. Appl., vol. 10, no. 6, pp. 269–278 (2019).
[14] Brownlee J., Deep Learning for Time Series Forecasting, Ebook (2019).
[15] https://keras.io/optimizers/
[16] Brownlee J., Deep Learning with Python, Ebook (2019).
[17] Chen K., Chen K., Wang Q., He Z., Hu J., He J., Short-Term Load Forecasting With Deep Residual Networks, IEEE Transactions on Smart Grid, vol. 10, no. 4, pp. 3943–3952 (2019).
[18] Jojo Moolayil, Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python, Apress (2018).
[19] Xishuang Dong, Lijun Qian, Lei Huang, Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach, IEEE Int. Conf. Big Data Smart Comput., pp. 119–125 (2017).
[20] Dong X., Qian L., Huang L., A CNN based bagging learning approach to short-term load forecasting in smart grid, 2017 SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, San Francisco, CA, 2017, pp. 1–6 (2017).
[21] Voß M., Bender-Saebelkampf C., Albayrak S., Residential Short-Term Load Forecasting Using Convolutional Neural Networks, 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aalborg, 2018, pp. 1–6 (2018).
[22] Amarasinghe K., Marino D.L., Manic M., Deep neural networks for energy load forecasting, IEEE Int. Symp. Ind. Electron., pp. 1483–1488 (2017).
[23] Koprinska I., Wu D., Wang Z., Convolutional Neural Networks for Energy Time Series Forecasting, Proc. Int. Jt. Conf. Neural Networks, pp. 1–8 (2018), DOI: 10.1109/IJCNN.2018.8489399.
[24] Valentino Zocca et al., Python Deep Learning, Packt Publishing (2019).
[25] https://www.aemo.com.au/
[26] Haiqing Liu, Weijian Lin, Yuancheng Li, Ultra-short-term wind power prediction based on copula function and bivariate EMD decomposition algorithm, Archives of Electrical Engineering, vol. 69, no. 2, pp. 271–286 (2020).
[27] Wang Y., Ma X., Wang F., Hou X., Sun H., Zheng K., Dynamic electric vehicles charging load allocation strategy for residential area, Archives of Electrical Engineering, vol. 67, no. 3, pp. 641–654 (2018).
Go to article

Authors and Affiliations

Thanh Ngoc Tran
1

  1. Faculty of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, 12 Nguyen Van Bao, Ward 4, Go Vap District, Ho Chi Minh City, Vietnam
Download PDF Download RIS Download Bibtex

Abstract

The aim of the presented work was to examine the reliability assessment model on the example of a selected power grid object. The analyzed object was tested based on assumptions about technological breaks that were caused by overvoltage, among others. The study was conducted to check the reliability of integral elements of the power grid object and to assess the change in reliability level as a function of the frequency of inspections. The test results are to determine the optimal frequency of inspections of individual power grid objects in order to increase its reliability. In addition, the possibility of correlating optimal inspection periods resulting from the findings of this paper with periodic inspections of power network facilities was assessed.

Go to article

Authors and Affiliations

M. Borecki
M. Ciuba
Y. Kharchenko
Y. Khanas
Download PDF Download RIS Download Bibtex

Abstract

Self-healing grids are one of the most developing concepts applied in electrical engineering. Each restoration strategy requires advanced algorithms responsible for the creation of local power systems. Multi-agent automation solutions dedicated for smart grids are mostly based on Prim’s algorithm. Graph theory in that field also leaves many problems unsolved. This paper is focused on a variation of Prim’s algorithm utility for a multi-sourced power system topology. The logic described in the paper is a novel concept combined with a proposal of a multi-parametrized weight calculation formula representing transmission features of energy delivered to loads present in a considered grid. The weight is expressed as the combination of three elements: real power, reactive power, and real power losses. The proposal of a novel algorithm was verified in a simulation model of a power system. The new restoration logic was compared with the proposal of the strategy presented in other recently published articles. The novel concept of restoration strategy dedicated to multi-sourced power systems was verified positively by simulations. The proposed solution proved its usefulness and applicability.
Go to article

Bibliography

  1.  S.A. Arefifar, Y.A.-R.I. Mohamed, and T.H.M. EL-Fouly, “Comprehensive Operational Planning Framework for Self-Healing Control Actions in Smart Distribution Grids,” IEEE Trans. Power Syst., vol. 28, no. 4, pp. 4192‒4200, 2013, doi: 10.1109/tpwrs.2013.2259852.
  2.  J. Quiros-Tortos and V. Terzija, “A Graph Theory Based New Approach for Power System Restoration,” in Proc. 2013 IEEE Grenoble PowerTech (POWERTECH), 2013, doi: 10.1109/ptc.2013.6652108.
  3.  T.D. Sudhakar and K.N. Srinivs, “Power System Reconfiguration Based on Prim’s Algorithm,” in Proc. 2011 1st International Conference on Electrical Energy Systems (ICEES), 2011, doi: 10.1109/ICEES.2011.5725295.
  4.  M.M. Ibrahim, H.A. Mostafa, M.M.A. Salama, R. El-Shatshat, and K.B. Shaban, “A Graph-theoretic Service Restoration Algorithm for Power Dystribution Systems,” in Proc. 2018 International Conference on Innovative Trends in Computer Engineering (ITCE), 2018, doi: 10.1109/itce.2018.8316647.
  5.  A. Golshani, W. Sun, and K. Sun, “Advanced power system partitioning method for fast and reliable restoration: toward a self-healing grid,” IET Gener. Transmiss. Distrib., vol. 12, no,1, pp.45‒52, 2018, doi: 10.1049/iet-gtd.2016.1797.
  6.  J. Quiros-Tortos, M. Panteli, P. Wall, and V. Tereija, “Sectionalising methodology for paraller system restoration based on graph theory,” IET Gener. Transmiss. Distrib., vol. 9, no. 11, pp. 1216‒1225, 2015, doi: 10.1049/iet-gtd.2014.0727.
  7.  M. Parol, P. Kapler, J. Marzecki, R. Parol, M. Połecki, and Ł. Rokitnicki, “Effective approach to distributed optimal operation control in rural low voltage microgrids,” Bull. Pol. Acad. Sci. Tech. Sci, vol. 68, no. 4, pp. 661‒678, 2020, doi: 10.24425/bpasts.2020.134178.
  8.  S. Sannigrahi, S.R. Ghatak, and P. Acharjee, “Multi-objective optimisation-based active distribution system planning with reconfiguration, intermittent RES and DSTATCOM,” IET Renew. Power Gener., vol. 13, no. 13, pp. 2418‒2429, 2019, doi: 10.1049/iet-rpg.2018.6060.
  9.  A. Bonfilio, M. Invernizzi, A. Labella, and R. Procopio, “Design and Implementation of a Variable Synthetic Inertia Controller for Wind Turbine Generators,” IEEE Trans. Power Syst., vol. 34, no. 1, pp. 754‒764, 2019, doi: 10.1109/tpwrs.2018.2865958.
  10.  F. Vazinram, R. Effatnejad, M. Hedayati, and P. Hajihosseini, “Decentralised self-healing model for gas and electricity distribution network,” IET Gener. Transmiss. Distrib., vol. 13, no.  19, pp. 4451‒4463, October 2019, doi: 10.1049/iet-gtd.2019.0416.
  11.  M. Eriksson, M. Armendariz, O. Vasilenko, A. Saleem, and L. Nordström, “Multi-Agent Based Distribution Automation Solution for Self-Healing Grids,” IEEE Trans. Ind. Electron., vol.  62, no. 4, pp. 2620‒2628, 2015, doi: 10.1109/tie.2014.2387098.
  12.  J. Li, Reconfiguration of power network based on graph-theoretic algorithms, Graduate Theses and Dissertations, Iowa State University, 2010, pp. 10‒35, doi: 10.31274/etd-180810-2753.
  13.  T.H. Cormen, C.E. Leiserson, R.L. Rivest, and C. Stein, “Section 23.2: The algorithms of Kruscal and Prim” in Introduction to Algorithms, 3rd ed., MIT Press, 2009, pp. 631‒638.
  14.  J. Ansari, A. Gholami, and A. Kazemi, “Multi-agent systems for reactive power control in smart grids,” Int. J. Electr. Power Energy Syst., vol. 83, pp. 411‒425, 2016, doi: 10.1016/j.ijepes.2016.04.010.
  15.  M. Borecki, M. Ciuba, Y. Kharchenko, and Y. Khanas, “Substation reliability evaluation in the context of the stability prediction of power grids,” Bull. Pol. Acad. Sci. Tech. Sci, vol. 68, no. 4, pp. 769‒776, 2020, doi: 10.24425/bpasts.2020.134170.
  16.  Q. Wang, S. Tao, X. Du, C. Zhong, and Y. Tang, “Coordinating Control Strategy for Multi Micro Energy Systems Within Distribution Grid Considering Dynamic Characteristics and Contradictory Interests,” IEEE Access, vol. 7, pp. 139548‒139559, 2019, doi: 10.1109/ access.2019.2943926.
  17.  Z. Wang and J. Wang, “Self-healing resilient distribution systems based on sectionalization into microgrids,” IEEE Trans. Power Syst., vol. 30, no. 6, pp. 3139‒3149, 2015, doi: 10.1109/tpwrs.2015.2389753.
  18.  W. Bąchorek and M. Benesz, “Analysis of sectionizing switch placement in medium voltage distribution networks in the aspect of improving the continuity of power supply,” Bull. Pol. Acad. Sci. Tech. Sci, vol. 68, no. 3, pp. 459‒466, 2020, doi: 10.24425/bpasts.2020.133377.
  19.  R.J. Wilson, Introduction to Graph Theory, London, Pearson Education Limited, 2010, pp. 8‒79.
  20.  J.A. Bondy and U.S.R. Murty, Graph theory with applications. London, Citeseer, 1976, pp. 10‒55.
  21.  B.S. Torres, L.R. Ferreira, and A.R. Aoki, “Distributed Intelligent System for Self-Healing in Smart Grids,” IEEE Trans. Power Del., vol. 33, no. 5, pp. 2394‒2403, 2018, doi: 10.1109/tpwrd.2018.2845695.
  22.  X. Yang, Y. Zhang, H. He, S. Ren, and G. Weng, “Real-Time Demand Side Management for a Microgrid Considering Uncertainties,” IEEE Trans. Smart Grid, vol. 10, no. 3, pp. 3401‒3414, 2019, doi: 10.1109/tsg.2018.2825388.
  23.  A. Younesi, H. Shayeghi, A. Safari, and P. Siano, “Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation,” Energy, vol. 207, 118220, 2020, doi: 10.1016/j.energy.2020.118220.
  24.  Y. Shen, Y. Chen, J. Zhang, Z. Sang, and Q. Zhou, “Self-Healing Evaluation of Smart Distribution Network Based on Uncertainty Theory,” IEEE Access, vol. 7, pp. 140022‒140029, 2019, doi: 10.1109/access.2019.2939537.
  25.  K. Anoh, S. Maharjan, A. Ikpehai, Y. Zhang, and B. Adebisi, “Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game- Theoretic Approach,” IEEE Trans. Smart Grid, vol. 11, no. 2, pp. 1264‒1275, 2020, doi: 10.1109/tsg.2019.2934830.
  26.  A. Chris and V. Koivunen, “Coalitional Game-Based Cost Optimalization of Energy Portfolio in Smart Grid Communities,” IEEE Trans. Smart Grid, vol. 10, no. 2, pp. 1960‒1970, 2019, doi: 10.1109/TSG.2017.2784902.
  27.  M. Zadsar, M.R. Haghifam, and S.M.M. Larimi, “Approach for self-healing resilient operation of active distribution network with microgrid,” IET Gener. Transmiss. Distrib., vol. 11, no. 18, pp. 4633‒4643, 2017, doi: 10.1049/iet-gtd.2016.1783.
  28.  W. Jiang, C. Yang, Z. Liu, M. Liang, P. Li, and G. Zhou, “A Hierarchical Control Structure of Distributed Energy Storage System in DC Micro-Grid,” IEEE Access, vol. 7, pp. 128787‒128795, 2019, doi: 10.1109/access.2019.2939626.
  29.  K. Karimizadeh, S. Soleymani, and F. Faghihi, “Optimal placement of DG units for the enhancement of MG networks performance using coalition game theory,” IET Gener. Transmiss. Distrib., vol. 14, no. 5, pp. 853‒862, 2020, doi: 10.1049/iet-gtd.2019.0070.
  30.  J. Machowski, J. W. Bialek, and J. R. Bumby, Power System Dynamics: Stabilty and Control. Haboken, New Jersey, John Wiley & Sons, Ltd., 2008, pp. 89‒99.
  31.  P. Li, J. Ji, H. Ji, G. Song, Ch. Wang, and J. Wu, “Self-healing oriented supply restoration method based on the coordination of multiple SOPs in active distribution networks,” Energy, vol. 195, 116968, 2020, doi: 10.1016/j.energy.2020.116968.
  32.  S. Pochpor and H.M. Suryawanshi, “Design and Analysis of Triplen Controlled Resonant Converter for Renewable Sources to Interface DC Micro Grid,” IEEE Access, vol. 7, pp. 15330‒15339, 2019, doi: 10.1109/access.2019.2891165.
  33.  S. Heinen and M.J. O’Malley, “Complementarities of Supply and Demand Sides in Integrated Energy Systems,” IEEE Trans. Smart Grid, vol. 10, no. 1, pp. 1156‒1165, 2019, doi: 10.1109/tsg.2018.2871393.
  34.  F. Liberati, A. Di Giorgio, A. Giuseppi, A. Pietrabissa, E. Habib, and L. Martirano, “Joint Model Predictive Control of Electric and Heating Resources in a Smart Building,” IEEE Trans. Ind. Electron, vol. 55, no. 6, pp. 7015‒7027, 2019, doi: 10.1109/TIA.2019.2932954.
  35.  A. Mojallal, S. Lotfifard, and S.M. Azimi, “A Nonlinear Supplementary Controller for Transient Response Improvement of Distributed Generations in Micro-Grids,” IEEE Trans. Sustain. Energy, vol. 11, no. 1, pp. 489‒499, 2020, doi: 10.1109/tste.2019.2895961.
  36.  S. Gude and Ch-Ch Chu, “Single Phase Enhanced Phase-Locked Loops Based on Multiple Delayed Signal Cancellation Filters for Micro- Grid Applications,” IEEE Trans. Ind. Electron, vol. 55, no.  6, pp. 7122‒7133, 2019, doi: 10.1109/TIA.2019.2915563.
Go to article

Authors and Affiliations

Artur Łukaszewski
ORCID: ORCID
Łukasz Nogal
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

Fault location, isolation and self-restoration (FLISR) automation is an essential component of smart grids concept. It consists of a high level of comprehensive automation and monitoring of the distribution grid improving the quality of energy supplied to customers. This paper presents an algorithm for decentralized FLISR architecture with peer-to-peer communication using IEC 61860 GOOSE messages. An analysis of short circuit detection was presented due to the method of the grid earthing system. The proposed automation model was built based on communication logic between configured intelligent electronic devices (IED) from ABB and Siemens. The laboratory tests were conducted in a half-loop grid model with a bilateral power supply (typical urban grid). The laboratory research concerned three locations of short circuits: between substation and section point, between two section points and between section point and normally open point (NOP). The logic implementation was developed using State Sequencer software offered by Test Universe.
Go to article

Authors and Affiliations

Paweł Bielenica
1
Joanna Widzińska
2
Artur Łukaszewski
2
ORCID: ORCID
Łukasz Nogal
2
ORCID: ORCID
Piotr Łukaszewski
2

  1. ENCO Sp. z o.o., Poste˛ pu 13, 02-676 Warsaw, Poland
  2. Electrical Power Engineering Institute, Faculty of Electrical Engineering, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
Download PDF Download RIS Download Bibtex

Abstract

Both the growing number of dispersed generation plants and storage systems

and the new roles and functions on the demand side (e.g. demand side management) are

making the operation (monitoring and control) of electrical grids more complex, especially

in distribution. This paper demonstrates how to integrate phasor measurements so that

state estimation in a distribution grid profits optimally from the high accuracy of PMUs.

Different measurement configurations consisting of conventional and synchronous mea-

surement units, each with different fault tolerances for the quality of the calculated system

state achieved, are analyzed and compared. Weighted least squares (WLS) algorithms for

conventional, linear and hybrid state estimation provide the mathematical method used in

this paper. A case study of an 18-bus test grid with real measured PMU data from a 110 kV

distribution grid demonstrates the improving of the system’s state variable’s quality by

using synchrophasors. The increased requirements, which are the prerequisite for the use

of PMUs in the distribution grid, are identified by extensively analyzing the inaccuracy of

measurement and subsequently employed to weight the measured quantities.

Go to article

Authors and Affiliations

Marc Richter
Ines Hauer
Przemysław Komarnicki
Download PDF Download RIS Download Bibtex

Abstract

An LLCL-filter is becoming more attractive than an LCL-filter as the interface between the grid-tied inverter and the grid due to possibility of reducing the copper and the magnetic materials. The efficiency of the LLCL-filter based single-phase grid-tied inverter also excites interests for many applications. The operation of the switches of the VSI is various with different modulation methods, which lead to different efficiencies for such a single-phase grid-tied inverter system, and therefore important research has been carried out on the effect of the choice of PWM schemes. Then power losses and efficiencies of the LLCL-filter and the LCL-filter based single-phase grid-tied inverters are analyzed and compared under the discontinuous unipolar, the dual-buck and the bipolar modulations. Results show that the efficiency of LLCL-filter based inverter system is higher than the LCL- filter based independent on the modulation method adopted. Experiments on a 2 kW prototype are in good agreement with results of the theoretical analysis.

Go to article

Authors and Affiliations

Weimin Wu
Min Huang
Frede Blaabjerg
Download PDF Download RIS Download Bibtex

Abstract

An integrated Z-source inverter for the single-phase single-stage grid-connected photovoltaic system is proposed in this paper. The inverter integrates three functional blocks including maximum-power-point-tracking, step-up/down DC-side voltage and output grid-connected current. According to the non-minimum-phase characteristic presented in DC-side and the functional demands of the system, two constant-frequency sliding-mode controllers with integral compensation are proposed to guarantee the system robustness. By using two controllers, the effects caused by the non-minimum-phase characteristic are mitigated. Under the circumstance of that the input voltage or the grid-connected current changes suddenly, the notches/protrusions following the over-shoot/ under-shoot of the DC-bus voltage are eliminated. The quality of grid-connected current is ensured. Also, a small-signal modelling method is employed to analyze the close-loop system. A 300W prototype is built in the laboratory. A solar-array simulator (SAS) is used to verify the systematic responses in the experiment. The correctness and validity of the inverter and proposed control algorithm are proved by simulation and experimental results.

Go to article

Authors and Affiliations

Z. Chen
X. Zhang
J. Pan
Download PDF Download RIS Download Bibtex

Abstract

This paper focuses on the analysis of selected risks as part of investments in the power

engineering at the initial (tender) stage of the life cycle in the context of the method of

project management by the Contractor. The study was carried out on the basis of an

analysis of over 500 tenders in the power engineering, from the last 5 years, taking into

account future forecast data. The analysis carried out in this article was aimed at achieving

specific and unique goals and results aimed at creating a useful product, which is the

Contractor’s offer in the power engineering, taking into account the most significant risks.

The result of this article is to support the project team in implementing risk management

in the project at the tender stage. For this purpose, the risks with their basic parameters

were defined, which allowed for the development of a risk matrix taking into account the

data obtained in the tender procedures of leading electric power distributors. Based on

the proposed risk quantification criteria, a list of remedial actions was prepared for all risk

types listed in this article. In addition, the aspects of possible elimination/reduction of the

impact of the most significant risks that occur at the analyzed stage of the investment life

cycle were developed.

Go to article

Authors and Affiliations

Michal Borecki
Download PDF Download RIS Download Bibtex

Abstract

The electric power sector is analyzed from the standpoint of well-being and a number of political priorities are considered that go beyond the traditional tasks of the so-called “energy trilemma”, namely reliable, affordable and carbon-free energy. This shows the importance of solving the problem at different levels as it can help the Government of Kazakhstan more reliably achieve synergy between actions to combat climate change and other priorities and, consequently, achieve double harmonization. The purpose of the study is to consider the cost and pricing surveys in the conditions of the functioning of the electricity market of Kazakhstan. Electricity is of key importance for human well-being. Electricity is highly necessary for many basic services, infrastructure and economic activities. Despite the increase in energy efficiency, the global electricity demand increased by 115% between 1990 and 2020, which is significantly higher than the population growth rate over the same period. This trend will undoubtedly continue conditioned upon economic growth, increased access and the electrification of end users. The assessment of electricity generation technologies from the point of view of well-being requires the use of the full cost method, which includes all applicable external costs, risks and benefits to determine the low-carbon energy balance, which in the Republic of Kazakhstan, is compatible with sustainable development. This assessment clearly needs to go beyond the plant level to consider the network infrastructure and demand to get a holistic view of the social costs of electricity. The practical significance lies in the analysis of cost and pricing in the conditions of the functioning of the electricity market of Kazakhstan.
Go to article

Authors and Affiliations

Kuralay Sadykova
1
ORCID: ORCID
Almas Zhakupov
2
ORCID: ORCID
Timur Baymukhanov
1
ORCID: ORCID
Railash Turchekenova
1
ORCID: ORCID
Aliya Medebaeva
1
ORCID: ORCID

  1. Institute of Management, Academy of Public Administration under the President of the Republic of Kazakhstan, Republic of Kazakhstan
  2. Institute of Heat Power Engineering and Heat Engineering, Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeev, Republic of Kazakhstan

This page uses 'cookies'. Learn more