现代科学仪器2024，Vol.41Issue(4)：214-218,5.
基于ISMA-BP神经网络的光伏发电储能双向DC-DC变换器控制
Control of Bidirectional DC-DC Converter for Photovoltaic Energy Storage based on ISMA-BP Neural Network
摘要
Abstract
the anti-interference issues of bidirectional DC-DC converters for photovoltaic energy storage is researched,and a control method for bidirectional DC-DC converters for photovoltaic energy storage based on ISMA-BP neural network is proposed.The dual closed-loop model for the bidirectional DC-DC converter is established,and the fuzzy neural network optimized PID controller to control the voltage outer loop is used.Secondly,the multi subpopulation and multi evolutionary strategy slime mould algorithm(SMA)is designed to improve the global optimization accuracy.The improved SMA(ISMA)is used to initialize the parameters of the BP neural network,in order to enhance the stability of the BP neural network control.Finally,the ISMA-BP neural network is used to dynamically adjust the parameters of the PID controller in real-time,achieving stable control of the output voltage of the converter.The simulation results show that the proposed bidirectional DC-DC converter control method has good rate stability and strong anti-interference ability.关键词
光伏发电/储能/双向DC-DC变换器/黏菌优化算法/BP神经网络/PID控制Key words
photovoltaic power generation/energy storage/bidirectional DC converter/slime mould algorithm/BP neural network/PID control引用本文复制引用
党娟,王伟超..基于ISMA-BP神经网络的光伏发电储能双向DC-DC变换器控制[J].现代科学仪器,2024,41(4):214-218,5.基金项目
陕西省榆林市科学技术局课题项目(编号:CXY-2020-016-01) （编号:CXY-2020-016-01）
