Optimal AGC regulators for power systems under restructured configuration with hybrid ESS

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Názov: Optimal AGC regulators for power systems under restructured configuration with hybrid ESS
Autori: Ram Naresh Mishra, Narendra Kumar, Mohd Zuhaib, Marwan Ahmad Abdullah Sufyan
Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-43 (2025)
Informácie o vydavateľovi: Nature Portfolio, 2025.
Rok vydania: 2025
Zbierka: LCC:Medicine
LCC:Science
Predmety: Automatic generation control, FOPID controller, Polar fuzzy controller, (1 + FOID) controller, Electric vehicle, PIIʎ DDµ controller, Medicine, Science
Popis: Abstract Several new rivals are entering the market as a result of the global restructuring of the electric power sector, which is also intensifying competition among existing market players. Better services, greater choices, and less expensive power are all intended to benefit consumers. For such systems to be more reliable, new control techniques with hybrid ESS are crucial. The CSOA-based hybrid ESS for a restructured T-G-S power system combines a polar fuzzy controller (PFC) with an FOPID controller. Testing is done on this controller’s resilience with CTD, random load demand, and parameter uncertainty. Additionally, a reconstructed N-G-S system is used to assess the viability of the suggested controller. A CSOA-based combined FOPID controller and polar fuzzy controller using hybrid ESS can improve frequency responses for Area-1 and Area-2 by 15.59% and 21.83%, respectively, and enhance the response of power variation of the tie-line under contract violation by 27.16% when compared to the CSOA: PIIʎDDµ controller. The effectiveness of a CSOA-based combination (1 + FOID) controller and a polar fuzzy controller for a restructured T-H-G power system is demonstrated in another study. Other controllers, including GA: 1 + PFC, SOA: FOPID, SOA: PID, GA: PID, and OARs, are used to verify its performance. These controllers include a variety of linkages, including a control variable ∆Pdc with the turbine’s controller. The proposed control scheme has the lowest cost function among various control strategies and has been shown to outperform several existing control methods. Moreover, it offers incredibly dependable performance under different load conditions.
Druh dokumentu: article
Popis súboru: electronic resource
Jazyk: English
ISSN: 2045-2322
Relation: https://doaj.org/toc/2045-2322
DOI: 10.1038/s41598-025-19710-3
Prístupová URL adresa: https://doaj.org/article/34b5001f3bcc4d82becd4cf485e8f5d2
Prístupové číslo: edsdoj.34b5001f3bcc4d82becd4cf485e8f5d2
Databáza: Directory of Open Access Journals
Popis
Abstrakt:Abstract Several new rivals are entering the market as a result of the global restructuring of the electric power sector, which is also intensifying competition among existing market players. Better services, greater choices, and less expensive power are all intended to benefit consumers. For such systems to be more reliable, new control techniques with hybrid ESS are crucial. The CSOA-based hybrid ESS for a restructured T-G-S power system combines a polar fuzzy controller (PFC) with an FOPID controller. Testing is done on this controller’s resilience with CTD, random load demand, and parameter uncertainty. Additionally, a reconstructed N-G-S system is used to assess the viability of the suggested controller. A CSOA-based combined FOPID controller and polar fuzzy controller using hybrid ESS can improve frequency responses for Area-1 and Area-2 by 15.59% and 21.83%, respectively, and enhance the response of power variation of the tie-line under contract violation by 27.16% when compared to the CSOA: PIIʎDDµ controller. The effectiveness of a CSOA-based combination (1 + FOID) controller and a polar fuzzy controller for a restructured T-H-G power system is demonstrated in another study. Other controllers, including GA: 1 + PFC, SOA: FOPID, SOA: PID, GA: PID, and OARs, are used to verify its performance. These controllers include a variety of linkages, including a control variable ∆Pdc with the turbine’s controller. The proposed control scheme has the lowest cost function among various control strategies and has been shown to outperform several existing control methods. Moreover, it offers incredibly dependable performance under different load conditions.
ISSN:20452322
DOI:10.1038/s41598-025-19710-3