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

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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Bibliographic Details
Main Authors: Runzhi Mu, Hongchun Shu, Yuming Zhang, Xiongbiao Wan, Shunji Luo, Zichao Zhou, Guangxue Wang, Shunguang Lei
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Energy Research
Subjects:
coordinated PV-ESS control
frequency regulation
GA-BP neural network
deloading control
dynamic parameters
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2025.1640949/full
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https://www.frontiersin.org/articles/10.3389/fenrg.2025.1640949/full

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