摘要
为提高电力传输系统稳定性和背靠背MMC控制性能,采用斯皮尔曼相关性分析背靠背MMC控制器PI参数,提出一种结合Circle混沌映射、猎物密度因子非线性化、高斯扰动策略、自适应梯度算法混合策略的多目标改进猎人猎物优化算法(MOIHPO)。通过加入测试函数,验证MOIHPO改进效果,结合背靠背MMC控制器PI参数进行仿真验证。结果表明:相较于优化之前,谐波畸变率降低了88.38%,电压超调量降低了1.08%,稳定时间缩短了10.42%。对比优化前后背靠背MMC并网时发电系统波形图与稳定性指标数据,验证了背靠背MMC控制器PI参数优化效果,提高了系统稳定性。
This paper is concerned with the insight that the back-to-back modular multilevel converter(MMC)has higher voltage and power levels;and once the controller parameters are set improperly,the power system will oscillate together with the serious economic losses,while the back-to-back MMC is on grid.In order to improve the stability of the power transmission system and the control performance of the back-to-back MMC,the paper proposes a multi-objective improved hunter-prey optimization algorithm(MOIHPO)combining circle chaotic mapping,prey density factor nonlinearization,Gaussian disturbance strategy and adaptive gradient algorithm hybrid strategy with the Spearman correlation analysis for the PI parameters of the back-to-back MMC controller.The study involves comparing other improved algorithms by adding test functions;verifying the improved effect of MOIHPO;and further verifying the simulation system combining the PI parameters of back-to-back MMC controller.The results show that after optimization,the harmonic distortion rate is reduced by 88.38%,the voltage overshoot is reduced by 1.08%,and the stabilization time is shortened by 10.42%.By comparing the waveform and stability index data of the power generation system when the back-to-back MMC is on grid before and after optimization,the optimization effect of the PI parameters of the back-to-back MMC controller is verified,as which improves the stability of the system and presents the great significance to the safe operation of the power system.
作者
吕品
徐东辉
翟悦琳
马浩天
刘紫阳
刘路路
LüPin;Xu Donghui;Zhai Yuelin;Ma Haotian;Liu Ziyang;Liu Lulu(School of Electrical&Control Engineering,Heilongjiang University Science&Technology,Harbin 150022,China)
出处
《黑龙江科技大学学报》
2025年第5期836-845,共10页
Journal of Heilongjiang University of Science And Technology
基金
国家电网公司科技项目(52243724000B)
黑龙江省省属高等学校基本科研业务费科研项目(2024-KYYWF-1053)。
