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作 者:吴忠强[1] 侯林成 WU Zhongqiang;HOU Lincheng(Key of Lab Industrial Computer Control Engineering of Hebei Province,Yanshan University,Qinhuangdao 066004,China)
机构地区:[1]燕山大学工业计算机控制工程河北省重点实验室,河北秦皇岛066004
出 处:《电机与控制学报》2023年第10期193-202,共10页Electric Machines and Control
基 金:河北省自然科学基金(F2020203014)。
摘 要:针对风力发电复杂非线性系统,研究变风速条件下实现最大风能捕获。考虑风力发电系统的非线性因素,建立了每个风力发电机的Hamilton模型。基于多智能体一致性方法,采用互联有向图表征多风力机之间的通信联系;设计了预置控制器,将领导者风力发电机稳定到期望的平衡点以实现最大风能捕获;设计了一种领导—跟随一致性控制协议,以实现跟随者多风力发电机之间以及与领导者风力发电机的协同控制。仿真验证了所提控制策略的有效性和优越性。当某风力发电机发生通讯中断后,经过0.7 s的调整便跟踪上领导者风力发电机,波动最大值为1 rad·s^(-1),且所有风力发电机都实现了最大风能捕获。Aiming at the complex nonlinear system of wind power generation,under the condition of variable wind speed,capturing the maximum wind energy of wind turbines is studied.Considering the nonlinear factors of the wind power system,a Hamilton model of each wind power generator was established.Based on the consistency method of multi-agents,an interconnected directed graph was used to characterize the communication among multiple wind turbines.A preset controller was designed to stabilize the leader wind turbine to the desired equilibrium point to capture the maximum wind energy,and a leaderfollowing consistency control protocol was designed to realize the coordinated control among the follower multi-wind turbines and the leader wind turbine.Simulation results show the effectiveness and superiority of the proposed control strategy.When the communication of a wind turbine is interrupted,after adjustment of 0.7 s,it will track the leader wind turbine.The maximum fluctuation value is 1 rad·s^(-1),and all wind turbines capture the maximum wind energy.
关 键 词:非线性系统 多智能体系统 发电机的Hamilton建模 最大风能捕获 协同控制 风力发电
分 类 号:TP273.4[自动化与计算机技术—检测技术与自动化装置]
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