粒子群优化
控制理论(社会学)
风力发电
感应发电机
电力系统
工程类
控制器(灌溉)
控制工程
自动发电控制
过程(计算)
计算机科学
功率(物理)
控制(管理)
电气工程
农学
物理
量子力学
人工智能
生物
机器学习
操作系统
作者
Maghsoud Mokhtari,Farrokh Aminifar
标识
DOI:10.1109/tpwrs.2014.2309012
摘要
Several studies have recently reported the capability of doubly-fed induction generator (DFIG) wind farms in improving the dynamic performance of power systems. Since wind farms are more often located far from the system conventional generation centers, local signals do not comprise enough content for damping inter-area oscillations. This paper presents a particle swarm optimization (PSO)-based wide-area damping controller (WADC) for the DFIG wind farms. The proposed controller is designed with a centralized nature on the basis of latest technological development of wide-area measurement system (WAMS). Damping both inter-area and local oscillatory modes are intended in the design process. The most challenging deficiency against WAMS real-time applications is the variable communication latency which can deteriorate the system stability if not properly accounted for in the controller design process. The proposed WADC hence incorporates effective means to compensate for the destructive characteristics of WAMS delayed signals. The PSO technique is applied to normalize and optimize the parameters of WADC. A set of comprehensive case studies are conducted on a 16-bus six-machine test system and the obtained numerical evidences are thoroughly discussed.
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