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Abstract

The work is intended to extend the application of a smart transformer on a radial distribution system. In this paper, an updated algorithm on the backward/forward power flow is introduced. The so-called direct approach of power flow is employed and analyzed. In addition, the paper focused on integrating a smart transformer to the network and solving the updating network also using the direct approach load flow. The solution of the smart transformer using the direct approach power flow method is quite straightforward. This model is applied to radial distribution systems which are the IEEE 33- and IEEE 69-bus systems as a case study. Also, the paper optimizes the best allocation of the smart transformer to reduce the power losses of the grid.
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Bibliography

[1] Coster E., Myrzik J.M., Kruimer J., Kling W., Integration Issues of Distributed Generation in Distribution Grids, Proceedings of the IEEE, vol. 99, no. 1 (2011).
[2] Sood K., HVDC and FACTS Controllers: Applications of Static Converters in Power Systems, Springer (2004).
[3] Anan V., Sanjeev Kumar Mallik S.K., Power flow analysis and control of distributed FACTS devices in power system, Archives of Electrical Engineering, vol. 67, no. 3, pp. 545–561 (2018).
[4] Wang J., Huang A., Sung W., Liu Y., Baliga B., Smart grid technologies, IEEE Industrial Electronics Magazine, vol. 3, no. 2, pp. 16–23 (2009).
[5] Liserre M., Buticchi G., Andresen M., De Carne G., Costa L., Zou Z., The Smart Transformer: Impact on the Electric Grid and Technology Challenges, IEEE Industrial Electronics Magazine, vol. 10, no. 2, pp. 46–58 (2016).
[6] Freedman D., Smart transformers-controlling the flow of electricity to stabilize the grid, MIT Technology Review, 10 Emerging Technologies Breakthroughs, pp. 44–45 (2011).
[7] Pournaras E., Vasirani M., Kooij R., Aberer K., Decentralized planning of energy demand for the management of robustness and discomfort, IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2280–2289 (2014).
[8] Belivanis M., Bell K., Coordination of phase-shifting transformers to improve transmission network utilisation, in 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), IEEE, pp. 1–6 (2010).
[9] Teng J.-H., A direct approach for distribution system load flow solutions, IEEE Trans Power Delivery, vol. 18, no. 3, pp. 882–887 (2003).
[10] Shirmohammadi D., Hong H.W., Semlyen A., Luo G.X. , A compensation-based power flow method for weakly meshed distribution and transmission networks, IEEE Transactions on Power Systems, vol. 3, no. 2, pp. 753–62 (1988).
[11] Cano J.M., Rejwanur M., Mojumdar R., Norniella J.G., Orcajo G.A., Phase shifting transformer model for direct approach power flow studies, International Journal of Electrical Power and Energy Systems, vol. 91, pp. 71–79 (2017).
[12] Mahmoud I.M., Swief R., Abdelsalam T., Tuned Hyper Reconfiguration Analysis applying Plant Growth Algorithm, 2019 21st International Middle East Power Systems Conference (MEPCON), Tanta University, Cairo, Egypt, pp. 884–889 (2019).
[13] Baran M.E., Wu F.F., Network reconfiguration in distribution systems for loss reduction and load balancing, IEEE Trans Power Delivery, vol. 4, no. 2, pp. 1401–1407 (1989).
[14] Samman M.A., Mokhlis H., Mansor N., Mohamad H., Suyono H., Sapari N.M., Fast Optimal Network Reconfiguration with Guided Initialization Based on a Simplified Network Approach, IEEE Access, vol. 8, pp. 11948–11963 (2020).
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Authors and Affiliations

Ibrahem Mohamed A. Mahmoud
1 2
Tarek Saad Abdelsalam
2
Rania Swief
2

  1. Faculty of Energy and Environmental Engineering, The British University in Egypt, Cairo, Egypt
  2. Electrical Power and Machine Engineering Department, Ain Shams University, Cairo, Egypt
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Abstract

This paper presents the optimal PID tuning study to improve the dynamic performance of an automatic voltage regulation (AVR) system. The system under study consists of a synchronous generator whose reference voltage changes in a step function and tries to overcome the transient behavior of its terminal voltage smoothly. To optimally control the performance, different optimization techniques are applied to tune the controller gains to obtain the minimum steady state error (main objective) and better dynamic characteristics (rise time, settling time, max overshoot, etc.). Then the AVR system responses with a PID controller based on different optimization techniques are compared to find out which is the best technique.
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Bibliography

[1] Mahmut Temel Özdemir, Vedat Çelik, Stability analysis of the automatic voltage regulation system with PI controller, Journal of Sakarya University Institute of Science, vol. 21, no. 4, pp. 698–705 (2017).
[2] Challapuram Yaswanth Reddy et al., Laboratory implementation of Automatic Voltage Regulator, Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE), Bangalore, pp. 1–6 (2016).
[3] Saidy M., Huges F.M., A predictive integrated voltage regulator and power system stabilizer, Elsevier proceedings on Electrical Power and Energy Systems, vol. 7, no. 2, pp. 101–111 (1995).
[4] Rakesh Singh Lodhi, Abhishek Saraf, Survey on PID Controller Based Automatic Voltage Regulator, International Journal ofAdvancedResearch in Electrical, Electronics and Instrumentation Engineering, vol. 5, no. 9, pp. 7424–7429 (2016).
[5] Haluk Gozde, Cengiz Taplamacioglu M., Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system, Journal of the Franklin Institute, vol. 348, no. 8, pp. 1927–1946 (2011).
[6] Gaing Z.-L., A particle swarm optimization approach for optimum design of PID controller in AVR system, IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 384–391 (2004).
[7] Elgard O.I., Electric Energy Systems Theory, New York, Mc Graw-Hill (1982).
[8] Mukherjee V., Ghoshal S.P., Intelligent particle swarm optimized fuzzy PID controller for AVR system, Electron. Power Syst. Res., vol. 77, no. 12, pp. 1689–1698 (2007).
[9] Sambariya D.K., Tripti Gupta, Optimal Design of PID Controller for an AVR System Using Flower Pollination Algorithm, Journal of Automation and Control, vol. 6, iss. 1, pp. 1–14 (2018).
[10] dos Santos Coelho L., Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach, Chaos, Solitons and Fractals, vol. 39, no. 4, pp. 1504–1514 (2009).
[11] Qader M.R., Identifying the optimal controller strategy for DC motors, Archives of Electrical Engineering, vol. 68, no. 1, pp. 101–114 (2019).
[12] Eswaramma K., Surya Kalyan G., An Automatic Voltage Regulator AVR System Control using a P-I-DD Controller, Journal of Advance Engineering and Research Development, vol. 4, no. 6, pp. 499–506 (2017).
[13] Aström K.J., Hägglund T., PID Controllers: Theory, Design, and Tuning, Instrument Society of America, USA (1995). [14] Yang X.-S., Flower pollination algorithm for global optimization, Lecture Notes in Computer Science, vol. 7445, pp. 240–249 (2012).
[15] Chiroma H., Shuib N.L.M., Muaz S.A., Abubakar A.I., Ila L.B., Maitama J.Z., A review of the applications of bio-inspired flower pollination algorithm, Procedia Computer Science, vol. 62, pp. 435–441 (2015).
[16] Mihailo Micev, Martin Calasan, Diego Oliva, Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm, Mathematics, vol. 8, no. 1182 (2020), DOI: 10.3390/math8071182.
[17] Sahib M.A., A novel optimal PID plus second order derivative controller for AVR system, Engineering Science and Technology, an International Journal, vol. 18, iss. 2, pp. 194–206 (2015).
[18] Abdel-Raouf Osama,Abdel-Baset M., el-Henawy I., A new hybrid flower pollination algorithm for solving constrained global optimization problems, International Journal of Applied Operational Research- An Open Access Journal, vol. 4, no. 2, pp. 1–13 (2014).
[19] Sambariya D.K., Gupta T., Optimal design of PID controller for an AVR system using monarch butterfly optimization, International Conference on Information, Communication, Instrumentation and Control (ICICIC), Indore, India, pp. 1-6 (2017).
[20] Priyambada S., Mohanty P.K., Sahu B.K., Automatic voltage regulator using TLBOalgorithm optimized PID controller, 2014 9th International Conference on Industrial and Information Systems (ICIIS), Gwalior, India, pp. 1–6 (2014).
[21] Niknam Taher, Rasoul Azizipanah-Abarghooee, Narimani Mohammad Rasoul, A new multi objective optimization approach based on TLBO for location of automatic voltage regulators in distribution systems, Engineering Applications of Artificial Intelligence, vol. 25, pp. 1577–1588 (2012).
[22] Askarzadeh Alireza, Rashedi Esmat, Harmony Search Algorithm. Recent Developments in intelligent Nature-Inspired Computing (2017), DOI: 10.4018/978-1-5225-2322-2.ch001.
[23] Mohanty Pradeep, Sahu Binod, Panda Sidhartha, Kar Sanjeeb, Mishra Nandan, Performance Analysis and Design of Proportional Integral Derivative Controlled Automatic Voltage Regulator System Using Local Unimodal Sampling Optimization Technique, pp. 566–576 (2012), DOI: 10.1007/978-3-642-35380-2_66.


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Authors and Affiliations

Haya Hesham
1
ORCID: ORCID
M. Ezzat
1
Rania A. Swief
1
ORCID: ORCID

  1. Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, 1 Elsarayat St., Abbaseya, 11517 Cairo, Egypt

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