Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine
Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine
复制标题
基于双馈感应发电机的风力发电机最大功率点跟踪的分组灰狼优化器
DOI：
10.1016/j.enconman.2016.10.062
复制
发表时间：
2017-02-01
影响因子：
10.4
通讯作者：
Fang, Zihao
中科院分区：
文献类型：
--
作者：
Yang, Bo;Zhang, Xiaoshun;Fang, Zihao
本文提出了一种新的分组灰狼优化算法，用于获得双馈感应风力发电机组交互式比例积分控制器的最优参数，从而在提高故障穿越能力的同时实现最大功率点跟踪。在所提出的框架下，灰狼被分为两个独立的组，包括合作狩猎组和随机侦察组。前者包含四种类型的灰狼(即阿尔法灰狼、贝塔灰狼、三角洲灰狼和欧米加灰狼)，基于它们的层级合作和在未知环境中的搜索、包围和攻击等三种精心设计的动作来实现有效的狩猎，其中贝塔和三角洲狼的数量增加以实现更深层次的开发。另一方面，后者进行随机的全局搜索，在勘探和开采之间实现了适当的权衡，从而有效地避免了局部最优。通过三个算例验证了该方法与其他启发式算法相比，具有更好的全局收敛、更准确的功率跟踪和更强的故障穿越能力。(C)爱思唯尔有限公司出版的2016年。
This paper proposes a novel grouped grey wolf optimizer to obtain the optimal parameters of interactive proportional-integral controllers of doubly-fed induction generator based wind turbine, such that a maximum power point tracking can be realized together with an improved fault ride-through capability. Under the proposed framework, the grey wolves are divided into two independent groups, including a cooperative hunting group and a random scout group. The former one contains four types of grey wolves (i.e., alpha, beta, delta, and omega) to accomplish an effective hunting based on their hierachical cooperation and three elaborative maneuvers in the presence of an unknown environment, e.g., prey searching, prey encircling, and prey attacking, of which the number of beta and delta wolves is increased to achieve a deeper exploitation. On the other hand, the latter one undertakes a randomly global search and realizes an appropriate trade-off between the exploration and exploitation, thus a local optimum can be effectively avoided. Three case studies are carried out which verify that a better global convergence, more accurate power tracking and improved fault ride through capability can be achieved by the proposed approach compared with that of other heuristic algorithms. (C) 2016 Published by Elsevier Ltd.