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基于蚁群算法自整定PID的风电系统最大风能追踪研究
引用本文:孙伟,张明伟,李停,陈杨,亢国栋.基于蚁群算法自整定PID的风电系统最大风能追踪研究[J].应用声学,2015,23(1):110-112.
作者姓名:孙伟  张明伟  李停  陈杨  亢国栋
作者单位:中国矿业大学 信息与电气工程学院,中国矿业大学 信息与电气工程学院
摘    要:以欠功率阶段的最大风能追踪为研究重点,对风力机捕获风能的过程进行理论分析,将蚁群算法自整定PID应用于最大风能追踪控制,设计了蚁群算法自整定PID控制器,并对其进行相应的仿真分析。仿真结果表明,与传统的PID控制策略相比,该控制策略使控制系统具有良好的动态响应能力,提高了控制精度、风能利用率、输出功率。

关 键 词:风力发电  最大风能追踪  蚁群算法  自整定PID

Study on Maximum Wind Energy Tracking Based on Ant Colony Optimization of Self-tuning PID
Institution:School of Information and Electrical Engineering,China University of Mine and Technology,
Abstract:Based on the maximum wind power tracking under stage as the research key, the paper conducted an analysis of the theory on the process of wind turbine to capture wind energy, applied ant colony optimization of self-tuning PID to the maximum wind power tracking control, and self-tuning PID controller based on ant colony algorithm was designed to do corresponding simulation analysis. the simulation results shows that the proposed control strategy made the control system has good dynamic performance, improved control accuracy, wind energy utilization rate and output power.
Keywords:wind power generation  maximum wind energy tracking  ant colony algorithm  self-tuning PID
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