山东电力技术2024，Vol.51Issue(5)：73-80,8.DOI:10.20097/j.cnki.issn1007-9904.2024.05.009
基于改进混合黏菌天鹰算法的水电机组调节系统参数辨识
Parameter Identification of Hydropower Unit Regulating System Based on Improved Hybrid Slime Mould-aquila Algorithm
摘要
Abstract
With the integration of wind farms,solar power plants and hydropower stations,the operating conditions of the hydropower unit regulating system(HURS)have become complex and difficult to obtain accurate models and specific parameters from the actual prototype.Therefore,parameter identification of HURS is key to its accurate modeling,which can provide support for optimization control and stability analysis of power systems.A hierarchical structure improved hybrid slime mould-aquila algorithm(HSMAA)was proposed and applied to solve the parameter identification problem of HURS under no-load and load conditions.A hierarchical search strategy was established based on the characteristics of the slime mold algorithm and the aquila optimizer to search for the optimal solution,which accelerated the convergence speed of the search for the optimal solution.The effectiveness of the proposed method was verified on multiple test functions.Moreover,a parameter identification strategy for HURS based on improved HSMAA was constructed.Simulation results verify the feasibility and effectiveness of the proposed method and compared with slime mold algorithm and aquila optimizer,HSMAA performs best in all evaluation indicators.关键词
水电机组调节系统/混合黏菌天鹰算法/参数辨识/黏菌算法Key words
hydropower unit regulating system/hybrid slime mould-aquila algorithm/parameter identification/slime mould algorithm分类
能源科技引用本文复制引用
钟子威,祝令凯,郑威,付文龙,张仕海..基于改进混合黏菌天鹰算法的水电机组调节系统参数辨识[J].山东电力技术,2024,51(5):73-80,8.基金项目
国家自然科学基金项目(51741907) （51741907）
国网山东省电力公司电力科学研究院自主研发项目"抽水蓄能电站安全预警在线监测技术研究"(ZY-2023-08). National Natural Science Foundation of China(51741907) （ZY-2023-08）
Independent Research and Development Project of State Grid Shandong Electric Power Research Institute"Research on Safety Warning and Online Monitoring Technology for Pumped Storage Power Stations"(ZY-2023-08). （ZY-2023-08）
