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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Summary: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.MethodsFirst, the working principles and characteristics of virtual synchronous generator (VSG) technology are elaborated. Second, the power control point positioning under deloading operation of PV systems and the virtual inertia control of energy storage systems are analyzed. Subsequently, a GA-BP neural network is introduced and applied to the adaptive parameter design of the PV-ESS system, enabling real-time dynamic adjustment of the moment of inertia J, damping coefficient D, and virtual inertia coefficient K, thereby enhancing the dynamic response performance of active power.ResultsThe experimental results demonstrate that under active power command mutation scenarios, compared with fixed-parameter control strategies, the proposed strategy reduces the frequency nadir deviation by 14.81%, overshoot by 62.5%, and steady-state recovery time by 44.44%.DiscussionThe adaptive parameter adjustment mechanism effectively mitigates frequency oscillations, offering a robust solution for grid stability in PV scenarios.
ISSN:2296-598X

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