黑龙江科技大学学报2025，Vol.35Issue(5)：836-845,10.DOI:10.3969/j.issn.2095-7262.2025.05.023
混合策略多目标改进猎人猎物算法的MMC控制优化
MMC control optimization of multi-objective improved Hunter-prey algorithm based on mixed strategy
摘要
Abstract
This paper is concerned with the insight that the back-to-back modular multilevel convert-er(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 disturb-ance 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 al-gorithms 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 af-ter 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 in-dex data of the power generation system when the back-to-back MMC is on grid before and after optimiza-tion,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.关键词
多电平换流器/Circle混沌映射/高斯扰动策略/自适应梯度算法Key words
multilevel converter/Circle chaotic map/gaussian disturbance strategy/adaptive gradi-ent algorithm分类
信息技术与安全科学引用本文复制引用
吕品,徐东辉,翟悦琳,马浩天,刘紫阳,刘路路..混合策略多目标改进猎人猎物算法的MMC控制优化[J].黑龙江科技大学学报,2025,35(5):836-845,10.基金项目
国家电网公司科技项目(52243724000B) （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) （2024-KYYWF-1053）
