光储一体化厂级电压暂降治理  

Plant-level Voltage Sag Control of Integrated Photovoltaic Storage System

作　　者：王瑞 WANG Rui(Jiangsu Keneng Electric Power Engineering Consulting Co.,Ltd.,Nanjing 210036)

机构地区：[1]江苏科能电力工程咨询有限公司,江苏南京210036

出　　处：《电力安全技术》2025年第2期34-40,共7页Electric Safety Technology

摘　　要：针对光储一体化系统在光伏功率变动或温度改变等多种扰动作用下导致的厂级电压暂时降低、电压稳定性变弱等问题,设计了一种融合滑模控制与长短期记忆神经网络的自适应滑模控制策略。在MATLAB/Simulink数字仿真试验平台中搭建了光储一体化系统的数字仿真模型,并对自适应滑模控制、传统滑模控制以及传统比例积分控制进行试验对比,结果显示该自适应滑模控制策略提高了光储一体化系统的电压稳定性,改善了在不同扰动作用下的电压暂降问题。In allusion to the problem of temporary decrease in plant-level voltage and weakened voltage stability caused by multiple disturbances such as photovoltaic power or temperature changes in the integrated photovoltaic storage system,a self-adaptive sliding mode control strategy combining the sliding mode control with the long short-term neural networks is designed.A digital simulation model of the integrated optical storage system is built on the MATLAB/Simulink digital simulation experiment platform,and experimental comparisons are made on the self-adaptive sliding mode control,traditional sliding mode control and the proportional integral control.The results show that the self-adaptive sliding mode control strategy improves the voltage stability of the integrated photovoltaic storage system as well as the voltage sag problem under different disturbances.

关 键 词：滑模控制 长短期记忆神经网络 光储一体化系统 电压暂降 

分 类 号：TM615[电气工程—电力系统及自动化]