通信与信息技术Issue(2)：33-35,135,4.
联合灰狼优化和布谷鸟搜索算法的MPPT
MPPT combining gray wolf optimization and cuckoo search algorithms
王秀莲 1孙浩宇1
作者信息
- 1. 沈阳理工大学自动化与电气工程学院,辽宁 沈阳 110159
- 折叠
摘要
Abstract
Due to the uncontrollable nature of wind energy,in order to maximize the conversion from wind energy to electric energy,the tracking and extraction of maximum power in the process of grid connection of wind power generation system has become the most im-portant problem.In order to solve the problem of power maximization,different MPPT algorithms are proposed,and the maximum power of the wind power system is tracked by using the optimal blade tip speed ratio method,and the relationship between the output power and the wind energy utilization coefficient is analyzed.At the same time,the modern optimization technology Gray Wolf Optimization Algo-rithm(GWO)is introduced,and the principle of the algorithm is analyzed.In order to improve the global search ability and increase the ef-ficiency and accuracy of the search,a new optimization algorithm GWO-CS was proposed based on the gray wolf optimization algorithm and the cuckoo algorithm was used,and the process analysis of the improved algorithm(GWO-CS)was carried out.The fitness functions of GWO and GWO-CS were simulated and analyzed by MATLAB to verify the effectiveness and convergence ability of the algorithms.关键词
永磁同步电机/叶尖速比法/最大功率/灰狼优化算法Key words
Permanent magnet synchronous motor/Blade tip speed ratio method/Maximum power/Gray wolf optimization algorithm分类
能源与动力引用本文复制引用
王秀莲,孙浩宇..联合灰狼优化和布谷鸟搜索算法的MPPT[J].通信与信息技术,2025,(2):33-35,135,4.
