电气传动2024，Vol.54Issue(4)：4-10,20,8.DOI:10.19457/j.1001-2095.dqcd25258
基于纵横交叉算法的储能系统自适应控制策略
Adaptive Control Strategy for Energy Storage Systems Based on Crisscross Optimization Algorithm
摘要
Abstract
When a large number of energy storage devices are integrated into the power grid through a virtual synchronous generator(VSG),improper selection of control parameters in traditional fixed inertia and damping control strategies can lead to long adjustment times or large overshoot,and fail to fully leverage the flexible advantages of VSG control.To address this issue,an adaptive control strategy for energy storage system based on the crisscross optimization(CSO)algorithm was proposed.Firstly,the VSG model of the energy storage system was established,and the minimum value of the sum of the frequency error of the VSG system and the total harmonic distortion of the voltage was taken as the objective function of CSO.The battery state of energy(SOE)constraint was introduced to solve the optimal inertia and damping.This algorithm has a faster convergence speed and effectively avoids parameter local solutions.On this basis,an improved inertia and damping adaptive control strategy was designed to effectively improve the dynamic performance of VSG.Finally,the effectiveness of the proposed strategy was verified by building a simulation model using Matlab/Simulink.关键词
储能系统/虚拟同步机/惯量阻尼自适应控制/电池荷电状态/纵横交叉算法Key words
energy storage system/virtual synchronous generator(VSG)/adaptive control of inertia and damping/state of energy(SOE)of batteries/crisscross optimization(CSO)algorithm分类
信息技术与安全科学引用本文复制引用
任萱,陈通,董立志,黄灵通,张明霞..基于纵横交叉算法的储能系统自适应控制策略[J].电气传动,2024,54(4):4-10,20,8.基金项目
国网江苏省电力有限公司科技项目(J2022112) （J2022112）
