https://orcid.org/0000-0003-2300-7021
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ABSTRACT
This article proposes a novel load frequency control (LFC) scheme for hybrid power systems (HPS) in the presence of Interline Power Flow Controller (IPFC) and redox flow battery (RFB). Due to the vagueness nature of solar energy and wind energy sources present in the HPS, the LFC problem is a critical task in HPS. For this study, a fuzzy proportional integral derivative (FPID) controller with hybrid salp swarm algorithm and pattern search algorithm (hSSA-PS) is used to optimize the controller parameter of the HPS system under random and stochastic environments. The usefulness of the proposed hSSA-PS algorithm is established over salp swarm algorithm (SSA), genetic algorithm (GA) and Particle swarm optimization (PSO) algorithms. The performance of the system under study is evaluated with/without the presence of IPFC and RFB. It is observed that system performance is improved with the presence of an IPFC controller and RFB. The robustness of the proposed controller is justified by conducting sensitivity analysis. It is noticed that in presence of the proposed FPID controller the reduction in ITAE/IAE/ISE values is 92.18%, 90.84 and 98.52% as compared to PID controller and 31.42%, 86.90% and 90% as compared to PID controller in the occurrence of IPFC and RFB under stochastic environment. The robustness of the proposed controller is justified by conducting a sensitivity analysis. Also, the outperformance of the suggested controller is contrasted with some advanced controllers reported in some recent papers.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Sonalika Mishra
Sonalika Mishra was born in India. She has received the B.Tech. degree in 2014 from the Department of Electrical & Electronics Engineering, Biju Pattnaik University of Technology, Odisha, and the M.Tech. degree in 2018 from the Department of Electrical Engineering (Control & Instrumentation), Veer Surendra Sai University of Technology, Burla, Odisha. She is currently working towards a PhD degree in Veer Surendra Sai University of Technology, Burla, Odisha. Her current research interests include Microgrid and Artificial intelligence.
Umesh Chandra Prusty
Umesh Chandra Prusty, was born in India. He has received the B.Tech. degree in 2013 from the Department of Electrical & Electronics Engineering, Biju Pattnaik University of Technology, Odisha, and the M.Tech. degree in 2017 from the Department of Electrical Engineering (Control & Instrumentation), Veer Surendra Sai University of Technology, Burla, Odisha. He is currently working towards a PhD degree in Veer Surendra Sai University of Technology, Burla, Odisha. His current research interests include Artificial intelligence and Microgrid.
Ramesh Chandra Prusty
Dr Ramesh Chandra Prusty, Assistant Professor of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, was born in India. He has received the B.Tech. degree from the Department of Electrical Engineering, Biju Pattnaik University of Technology, Odisha, the M.Tech. & PhD degree from the Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha. His current research interests include Artificial intelligence, Power system & Control system.
Sidhartha Panda
Dr Sidhartha Panda, Professor in Electrical Engineering Department, Veer Surendra Sai University of Technology, Burla, Odisha, was born in India. He has received the M.Tech. degree from the Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha & PhD degree from the Department of Electrical Engineering, IIT Roorkee, India. His current research interests include Soft Computing, Power system stability, Automatic generation control, Economic load dispatch & FAC.