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作 者:王秀莲 孙浩宇 WANG Xiulian;SUN Haoyu(School of Automation and Electrical Engineering,Shenyang Ligong University,Shenyang 110159,China)
机构地区:[1]沈阳理工大学自动化与电气工程学院,辽宁沈阳110159
出 处:《通信与信息技术》2025年第2期33-35,135,共4页Communication & Information Technology
摘 要:由于风能自身的不可控性,为了能够最大化实现风能到电能的转换,风力发电系统并网过程中最大功率的跟踪和提取成为最主要的问题。针对功率最大化这一问题提出了不同的MPPT算法,利用最佳叶尖速比法对风电系统的最大功率进行跟踪,分析了输出功率与风能利用系数之间的关系。同时引入现代优化技术——灰狼优化算法(GWO),分析算法的原理。为提高全局搜索能力,提高搜索的效率和精度,在灰狼优化算法的基础上利用布谷鸟算法,给出一种新的优化算法GWO-CS,对改进后的算法(GWO-CS)进行流程分析。并利用MATLAB进行仿真和分析GWO和GWO-CS的适应度函数,验证算法的有效性和收敛能力。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
分 类 号:TK89[动力工程及工程热物理—流体机械及工程]
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