Frequency coordinated control and parameter optimization for photovoltaic–energy storage systems based on a GA-BP hybrid algorithm

IntroductionFrequency oscillations induced by stochastic disturbances pose significant challenges to grid-connected photovoltaic (PV) systems. This study proposes an adaptive optimization strategy for photovoltaic-energy storage systems (PV-ESS) based on a GA-BP neural network to address this issue....

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Bibliografische Detailangaben

Hauptverfasser:	Runzhi Mu, Hongchun Shu, Yuming Zhang, Xiongbiao Wan, Shunji Luo, Zichao Zhou, Guangxue Wang, Shunguang Lei
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-08-01
Schriftenreihe:	Frontiers in Energy Research
Schlagworte:	coordinated PV-ESS control frequency regulation GA-BP neural network deloading control dynamic parameters
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fenrg.2025.1640949/full
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