作者：李大中, 邬峰

作者单位：华北电力大学自动化系, 河北 保定 071003

关键词：果蝇优化算法;风电机组;滑模控制;最大功率点跟踪

摘要：

为提高果蝇优化算法（FOA）的寻优效率和精度，针对标准果蝇算法在全局范围内搜索能力不均匀导致的问题，提出一种步长改进策略。该策略在运行过程中根据当前果蝇群体中最优个体位置，动态地对果蝇前进步长进行调整，使果蝇算法能够平衡在全局范围内的搜索能力，增强初期收敛速度和后期收敛精度。通过经典测试函数对改进算法进行仿真研究，结果表明：在保证寻优成功率的同时，该文所提出改进算法的收敛精度和速度均得到显著提高。风电机组滑模控制器参数寻优中的应用实例也表明该算法的有效性。

Application of an improved fruit fly optimization algorithm in MPPT control of wind turbine unit

LI Dazhong, WU Feng

Department of Automation, North China Electric Power University, Baoding 071003, China

Abstract: In order to improve the optimizing efficiency and precision of fruit fly optimization algorithm(FOA), an improved step-length strategy is proposed aiming at the problems caused by the unbalanced searching ability of standard FOA in global scope. The strategy can dynamically adjust the moving step length of fruit fly during operation according to the optimal fruit fly position in current population, so that the searching ability of FOA is balanced in global scope, which improves convergence rate at initial stage and precision at later stage. After the simulation research for improved algorithm based on several kinds of classical test functions, the results show that while ensuring the success ratio of optimization, the convergence accuracy and speed of the algorithm proposed in the article are significantly improved. Besides, the application case of parameter optimization for sliding mode controller of wind turbine unit also indicated the effectiveness of the proposed algorithm.

Keywords: FOA;wind turbine unit;sliding mode control;MPPT

2017, 43(3): 101-105  收稿日期: 2016-07-23;收到修改稿日期: 2016-09-23

基金项目: 

作者简介: 李大中(1961-),男,内蒙古包头市人,教授,博士,研究方向为新能源发电系统控制、智能优化理论及应用等。

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