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Power system oscillation damping controller design: a novel approach of integrated HHO-PSO algorithm

Ramesh Devarapalli Vikash Kumar
Archives of Control Sciences | 2021 | vol. 31 | No 3 | 553-591 | DOI: 10.24425/acs.2021.138692
Keywords Harris hawk optimization Power system stabilizers STATCOM FACTS particle swarm optimization
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Abstract

The hybridization of a recently suggested Harris hawk’s optimizer (HHO) with the traditional particle swarm optimization (PSO) has been proposed in this paper. The velocity function update in each iteration of the PSO technique has been adopted to avoid being trapped into local search space with HHO. The performance of the proposed Integrated HHO-PSO (IHHOPSO) is evaluated using 23 benchmark functions and compared with the novel algorithms and hybrid versions of the neighbouring standard algorithms. Statistical analysis with the proposed algorithm is presented, and the effectiveness is shown in the comparison of grey wolf optimization (GWO), Harris hawks optimizer (HHO), barnacles matting optimization (BMO) and hybrid GWO-PSO algorithms. The comparison in convergence characters with the considered set of optimization methods also presented along with the boxplot. The proposed algorithm is further validated via an emerging engineering case study of controller parameter tuning of power system stability enhancement problem. The considered case study tunes the parameters of STATCOM and power system stabilizers (PSS) connected in a sample power network with the proposed IHHOPSO algorithm. A multi-objective function has been considered and different operating conditions has been investigated in this papers which recommends proposed algorithm in an effective damping of power network oscillations.
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Authors and Affiliations

Ramesh Devarapalli
1
ORCID: ORCID
Vikash Kumar
1
  1. Department of Electrical Engineering, B.I.T. Sindri, Dhanbad, Jharkhand, India

Fractional order PI λD μ controller with optimal parameters using Modified Grey Wolf Optimizer for AVR system

Santosh Kumar Verma Ramesh Devarapalli
Archives of Control Sciences | 2022 | vol. 32 | No 2 | 429-450 | DOI: 10.24425/acs.2022.141719
Keywords integer order PID controller fractional order PID controller automatic voltage regulator evolutionary optimization Grey Wolf Optimizer
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Abstract

In this paper, an automatic voltage regulator (AVR) embedded with fractional order PID (FOPID) is employed for the alternator terminal voltage control. A novel meta-heuristic technique, a modified version of grey wolf optimizer (mGWO) is proposed to design and optimize the FOPID AVR system. The parameters of FOPID, namely, proportional gain ( Κ Ρ), the integral gain ( Κ I), the derivative gain ( Κ D), λ and μ have been optimally tuned with the proposed mGWO technique using a novel fitness function. The initial values of the Κ Ρ, Κ I , and Κ D of the FOPID controller are obtained using Ziegler-Nichols (ZN) method, whereas the initial values of λ and μ have been chosen as arbitrary values. The proposed algorithm offers more benefits such as easy implementation, fast convergence characteristics, and excellent computational ability for the optimization of functions with more than three variables. Additionally, the hasty tuning of FOPID controller parameters gives a high-quality result, and the proposed controller also improves the robustness of the system during uncertainties in the parameters. The quality of the simulated result of the proposed controller has been validatedby other state-of-the-art techniques in the literature.
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Authors and Affiliations

Santosh Kumar Verma
1
Ramesh Devarapalli
2
ORCID: ORCID
  1. Department of EIE, Assam Energy Institute, Sivasagar (Centre of RGIPT, Jais), Assam–785697, India
  2. Department of EEE, Lendi Institute of Engineering and Technology, Vizianagaram-535005, India

On optimal control problem subject to fractional order discrete time singular systems

Tirumalasetty Chiranjeevi Raj Kumar Biswas Ramesh Devarapalli Naladi Ram Babu Fausto Pedro García Márquez
Archives of Control Sciences | 2021 | vol. 31 | No 4 | 849-863 | DOI: 10.24425/acs.2021.139733
Keywords fractional optimal control problem discrete time singular system fractional derivative Hamiltonian technique
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Abstract

In this work, we present optimal control formulation and numerical algorithm for fractional order discrete time singular system (DTSS) for fixed terminal state and fixed terminal time endpoint condition. The performance index (PI) is in quadratic form, and the system dynamics is in the sense of Riemann-Liouville fractional derivative (RLFD). A coordinate transformation is used to convert the fractional-order DTSS into its equivalent non-singular form, and then the optimal control problem (OCP) is formulated. The Hamiltonian technique is used to derive the necessary conditions. A solution algorithm is presented for solving the OCP. To validate the formulation and the solution algorithm, an example for fixed terminal state and fixed terminal time case is presented.
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Authors and Affiliations

Tirumalasetty Chiranjeevi
1
Raj Kumar Biswas
2
Ramesh Devarapalli
3
ORCID: ORCID
Naladi Ram Babu
2
Fausto Pedro García Márquez
4
  1. Department of Electrical Engineering, Rajkiya Engineering College Sonbhadra, U. P., India
  2. Department of Electrical Engineering, National Institute of Technology, Silchar, India
  3. Department of Electrical Engineering, BIT Sindri, Dhanbad 828123, Jharkhand, India
  4. Ingenium Research Group, University of Castilla-La Mancha, Spain

Constrained optimization of the brushless DC motor using the salp swarm algorithm

Łukasz Knypiński Ramesh Devarapalli Yvonnick Le Menach
Archives of Electrical Engineering | 2022 | vol. 71 | No 3 | 775-787 | DOI: 10.24425/aee.2022.141684
Keywords brushless DC motor constrained optimization finite element analysis Salp Swarm Algorithm
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Abstract

This paper presents an algorithm and optimization procedure for the optimization of the outer rotor structure of the brushless DC (BLDC) motor. The optimization software was developed in the Delphi Tiburón development environment. The optimization procedure is based on the salp swarm algorithm. The effectiveness of the developed optimization procedurewas compared with genetic algorithm and particle swarmoptimization algorithm. The mathematical model of the device includes the electromagnetic field equations taking into account the non-linearity of the ferromagnetic material, equations of external supply circuits and equations of mechanical motion. The external penalty function was introduced into the optimization algorithm to take into account the non-linear constraint function.
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Authors and Affiliations

Łukasz Knypiński
1
ORCID: ORCID
Ramesh Devarapalli
2
ORCID: ORCID
Yvonnick Le Menach
3
ORCID: ORCID
  1. Poznan University of Technology, Poland
  2. Department of EEE, Lendi Institute of Engineering and Technology, Vizianagaram, India
  3. Lille University, France

Analysis of multiple-area renewable integrated hydro-thermal system considering artificial rabbit optimized PI (FOPD) cascade controller and redox flow battery

Arindita Saha Tirumalasetty Chiranjeevi Ramesh Devarapalli Naladi Ram Babu Puja Dash Fausto Pedro Garcìa Màrquez
Archives of Control Sciences | 2023 | vol. 33 | No 4 | 861-884 | DOI: 10.24425/acs.2023.148885
Keywords solar thermal automatic generation control geothermal artificial rabbit optimization redox flow battery PI(FOPD) controller
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Abstract

The current task explores automatic generation control knowledge under old-style circumstances for a triple-arena scheme. Sources in area-1 are thermal-solar thermal (ST); thermalgeothermal power plant (GPP) in area-2 and thermal-hydro in area-3. An original endeavour has been set out to execute a new performance index named hybrid peak area integral squared error (HPA-ISE) and two-stage controller with amalgamation of proportional-integral and fractional order proportional-derivative, hence named as PI(FOPD). The performance of PI(FOPD) has been compared with varied controllers like proportional-integral (PI), proportional-integralderivative (PID). Various investigation express excellency of PI(FOPD) controller over other controller from outlook regarding lessened level of peak anomalies and time duration for settling. Thus, PI(FOPD) controller’s excellent performance is stated when comparison is undergone for a three-area basic thermal system. The above said controller’s gains and related parameters are developed by the aid of Artificial Rabbit Optimization (ARO). Also, studies with HPA-ISE enhances system dynamics over ISE. Moreover, a study on various area capacity ratios (ACR) suggests that high ACR shows better dynamics. The basic thermal system is united with renewable sources ST in area-1 also GPP in area-2. Also, hydro unit is installed in area-3. The performance of this new combination of system is compared with the basic thermal system using PI(FOPD) controller. It is detected that dynamic presentation of new system is improved. Action in existence of redox flow battery is also examined which provides with noteworthy outcome. PI(FOPD) parameters values at nominal condition are appropriate for higher value of disturbance without need for optimization.
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Authors and Affiliations

Arindita Saha
1
Tirumalasetty Chiranjeevi
2
Ramesh Devarapalli
3
ORCID: ORCID
Naladi Ram Babu
4
Puja Dash
5
Fausto Pedro Garcìa Màrquez
6
  1. Department of Electrical Engineering, RegentEducation & Research Foundation Group of Institutions, Kolkata, West Bengal, India
  2. Department of ElectricalEngineering, Rajkiya Engineering College Sonbhadra, U.P., India
  3. Institute of Chemical Technology, IndianOil Odisha Campus, Bhubaneswar, India
  4. Department of Electrical & Electronics Engineering,Aditya Engineering College, Surampalem, Andhra Pradesh, India
  5. Department of Electrical and Electronics Engineering,Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, Andhra Pradesh,India
  6. Ingenium ResearchGroup, University of Castilla-La Mancha, Spain

An improvement of Gamma approximation for reduction of continuous interval systems

Jagadish Kumar Bokam Vinay Pratap Singh Ramesh Devarapalli Fausto Pedro García Márquez
Archives of Control Sciences | 2021 | vol. 31 | No 2 | 347-373 | DOI: 10.24425/acs.2021.137422
Keywords continuous interval systems Kharitonov polynomials Routh approximation modelling SISO systems MIMO systems
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Abstract

In recent, modeling practical systems as interval systems is gaining more attention of control researchers due to various advantages of interval systems. This research work presents a new approach for reducing the high-order continuous interval system (HOCIS) utilizing improved Gamma approximation. The denominator polynomial of reduced-order continuous interval model (ROCIM) is obtained using modified Routh table, while the numerator polynomial is derived using Gamma parameters. The distinctive features of this approach are: (i) It always generates a stable model for stable HOCIS in contrast to other recent existing techniques; (ii) It always produces interval models for interval systems in contrast to other relevant methods, and, (iii) The proposed technique can be applied to any system in opposite to some existing techniques which are applicable to second-order and third-order systems only. The accuracy and effectiveness of the proposed method are demonstrated by considering test cases of single-inputsingle- output (SISO) and multi-input-multi-output (MIMO) continuous interval systems. The robust stability analysis for ROCIM is also presented to support the effectiveness of proposed technique.
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Authors and Affiliations

Jagadish Kumar Bokam
1
Vinay Pratap Singh
2
Ramesh Devarapalli
3
ORCID: ORCID
Fausto Pedro García Márquez
4
ORCID: ORCID
  1. Department of Electrical Electronics and Communication Engineering, Gandhi Institute of Technology and Management (Deemed to be University), Visakhapatnam, 530045, Andhra Pradesh, India
  2. Department of Electrical Engineering, Malaviya National Institute of Technology Jaipur, India
  3. Department of Electrical Engineering, BITSindri, Dhanbad, Jharkhand
  4. Ingenium Research Group, University of Castilla-La Mancha, Spain

Real-time validation of an automatic generation control system considering HPA-ISE with crow search algorithm optimized cascade FOPDN-FOPIDN controller

Naladi Ram Babu Tirumalasetty Chiranjeevi Ramesh Devarapalli Łukasz Knypiński Fausto Pedro Garcìa Màrquez
Archives of Control Sciences | 2023 | vol. 33 | No 2 | 371-390 | DOI: 10.24425/acs.2023.146280
Keywords crow search algorithm dish-stirling solar system AGC RT Lab FOPDN-FOPIDN controller
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Abstract

This article validates the application of RT-Lab for the AGC studies of three-area systems. All the areas are employed with thermal-DSTS systems. A new controller named cascade FOPDN-FOPPIDN is employed. Its parameters are optimized using a CSA, subjecting to a new PI named HPA-ISE. The responses of the FOPDN-FOPIDN controller are related and are superior over PIDN and TIDN controllers. Moreover, the dominance of HPA-ISE is verified with ISE, and it performs better in terms of system dynamics. Further, the system performance reliability is analyzed with the AC-HVDC and is better than the AC system. Besides, sensitivity analysis recommends that the proposed FOPDN-FOPIDN at diverse conditions is robust and more reliability.
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Authors and Affiliations

Naladi Ram Babu
1
Tirumalasetty Chiranjeevi
2
Ramesh Devarapalli
3
ORCID: ORCID
Łukasz Knypiński
4
ORCID: ORCID
Fausto Pedro Garcìa Màrquez
5
  1. Department of Electrical and Electronics Engineering, Aditya Engineering College, Surampalem, Andhra Pradesh, India
  2. Department of Electrical Engineering, Rajkiya Engineering College Sonbhadra, U.P., India
  3. Department of Electrical/Electronics and Instrumentation Engineering, Institute of Chemical Technology, Indianoil Odisha Campus, Bhubaneswar751013, India
  4. Faculty of Control, Robotics and Electrical Engineering, Poznan University of Technology, Piotrowo 3A, 60-965 Poznan, Poland
  5. Ingenium Research Group, University of Castilla-La Mancha, Spain

Indirect torque observer-based sensor-less efficient control of bearingless switched reluctance motor using global sliding mode and square currents control method

Pulivarthi Nageswara Rao Ramesh Devarapalli Fausto Pedro García Márquez G.V. Nagesh Kumar Behnam Mohammadi-Ivatloo
Archives of Control Sciences | 2021 | vol. 31 | No 1 | 53-80 | DOI: 10.24425/acs.2021.136880
Keywords bearingless global sliding mode efficient: maintenance, safety, torque ripple
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Abstract

The Bearingless Switched Reluctance Motor (BSRM) is a new technology motor, which overcomes the problems of maintenances required associated with mechanical contacts and lubrication of rotor shaft effectively. In addition, it also improves the output power developed and rated speed. Hence, the BSRM can achieve high output power and super high speed with less size and cost. It has a considerable ripple in the net-torque due to its critical non-linearity and the salient pole structures of both stator and rotor poles. The resultant torque ripple, especially in these motors, causes the more vibrations and acoustic noises will affects the levitated rotor safety also. Practically at high-speed operations, the accurate measurement of the rotor position is complicated for conventional mechanical sensors. A new square currents control with global sliding mode control based sensorless torque observer is proposed to minimize the torque ripple and achieve a smooth, robust operation without using any mechanical sensors. The proposed controller is designed based on the error between the reference and measured torque values. The sliding mode torque observer measures the torque from the actual phase voltages, currents, and look-up tables. The simulation model has been modelled to validate the proposed methodology. From the simulation outputs, it is clear that the reduction of torque ripple by the proposed method shows improved than the conventional sliding mode controller. The overall system is more robust to the external disturbances, and it also gets efficient torque profile.
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Authors and Affiliations

Pulivarthi Nageswara Rao
1
Ramesh Devarapalli
2
ORCID: ORCID
Fausto Pedro García Márquez
3
ORCID: ORCID
G.V. Nagesh Kumar
4
Behnam Mohammadi-Ivatloo
5
  1. Department of Electrical Electronics and Communication Engineering, Gandhi Institute of Technology and Management (Deemed to be University),Visakhapatnam, 530045, Andhra Pradesh, India
  2. Department of Electrical Engineering, BITSindri, Dhanbad 828123, Jharkhand, India
  3. Ingenium Research Group, University of Castilla-La Mancha, Spain
  4. Department of EEE, JNTU Anantapur, College of Engineering, Pulivendula-516390, Andhra Pradesh, India
  5. University of Tabriz, Tabriz, Iran

Fixed terminal time fractional optimal control problem for discrete time singular system

Tirumalasetty Chiranjeevi Ramesh Devarapalli Naladi Ram Babu Kiran Babu Vakkapatla R. Gowri Sankara Rao Fausto Pedro Garcìa Màrquez
Archives of Control Sciences | 2022 | vol. 32 | No 3 | 489-506 | DOI: 10.24425/acs.2022.142846
Keywords fractional order differential equation discrete time singular system fractional derivative linear quadratic optimal control problem
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Abstract

This paper presents the formulation and numerical simulation for linear quadratic optimal control problem (LQOCP) of free terminal state and fixed terminal time fractional order discrete time singular system (FODSS). System dynamics is expressed in terms of Riemann-Liouville fractional derivative (RLFD), and performance index (PI) in terms of state and costate. Because of its complexity, finding analytical and numerical solutions to singular system (SS) is difficult. As a result, we use coordinate transformation to convert FODSS to its corresponding fractional order discrete time nonsingular system (FODNSS). After that, we obtain the necessary conditions by employing a Hamiltonian approach. The relevant conditions are solved using the general solution approach. For the analysis of formulation and solution algorithm, a numerical example is illustrated. Results are obtained for various �� values. According to state of the art, this is the first time that a formulation and numerical simulation of free terminal state and fixed terminal time optimal control problem (OCP) of FODSS is presented.
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Authors and Affiliations

Tirumalasetty Chiranjeevi
1
Ramesh Devarapalli
2
ORCID: ORCID
Naladi Ram Babu
3
Kiran Babu Vakkapatla
4
R. Gowri Sankara Rao
5
Fausto Pedro Garcìa Màrquez
6
  1. Department of Electrical Engineering, Rajkiya Engineering College Sonbhadra, U.P., India
  2. Department of EEE, Lendi Institute of Engineering and Technology, Vizianagaram-535005, India
  3. Department of EEE, Aditya Engineering College, Surampalem, Andhra Pradesh, India
  4. Lingayas Institute of Management and Technology Madalavarigudem, A.P., India
  5. Department of EEE, MVGR College of Engineering Vizianagaram, A.P., India
  6. Ingenium Research Group, University of Castilla-La Mancha, Spain

Allocation of real power generation based on computing over all generation cost: an approach of Salp Swarm Algorithm

Ramesh Devarapalli Nikhil Kumar Sinha Bathina Venkateswara Rao Łukasz Knypinski Naraharisetti Jaya Naga Lakshmi Fausto Pedro García Márquez
Archives of Electrical Engineering | 2021 | vol. 70 | No 2 | 337-349
Keywords economic load dispatch heuristic algorithms optimization Particle Swarm Algorithm Salp Swarm Algorithm
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Abstract

Economic Load Dispatch (ELD) is utilized in finding the optimal combination of the real power generation that minimizes total generation cost, yet satisfying all equality and inequality constraints. It plays a significant role in planning and operating power systems with several generating stations. For simplicity, the cost function of each generating unit has been approximated by a single quadratic function. ELD is a subproblem of unit commitment and a nonlinear optimization problem. Many soft computing optimization methods have been developed in the recent past to solve ELD problems. In this paper, the most recently developed population-based optimization called the Salp Swarm Algorithm (SSA) has been utilized to solve the ELD problem. The results for the ELD problem have been verified by applying it to a standard 6-generator system with and without due consideration of transmission losses. The finally obtained results using the SSA are compared to that with the Particle Swarm Optimization (PSO) algorithm. It has been observed that the obtained results using the SSA are quite encouraging.
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Authors and Affiliations

Ramesh Devarapalli
1
ORCID: ORCID
Nikhil Kumar Sinha
1
ORCID: ORCID
Bathina Venkateswara Rao
2
ORCID: ORCID
Łukasz Knypinski
3
ORCID: ORCID
Naraharisetti Jaya Naga Lakshmi
4
ORCID: ORCID
Fausto Pedro García Márquez
5
ORCID: ORCID
  1. Department of EE, B. I. T. Sindri, Dhanbad, Jharkhand – 828123, India
  2. Department of EEE, V R Siddhartha Engineering College (Autonomous), Vijayawada-520007, A.P., India
  3. Poznan University of Technology, Poland
  4. SR Engineering College: Warangal, Telangana, India
  5. Ingenium Research Group, University of Castilla-La Mancha, Spain

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