Novel load frequency control scheme for hybrid power systems employing interline power flow controller and redox flow battery

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 critic...

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Veröffentlicht in:Energy sources. Part A, Recovery, utilization, and environmental effects Jg. 47; H. 1; S. 11787 - 11805
Hauptverfasser: Mishra, Sonalika, Prusty, Umesh Chandra, Prusty, Ramesh Chandra, Panda, Sidhartha
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Taylor & Francis 31.12.2025
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ISSN:1556-7036, 1556-7230
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Zusammenfassung: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.
ISSN:1556-7036
1556-7230
DOI:10.1080/15567036.2021.1986174