基于粒子群算法的含大规模风电互联系统的负荷频率控制  

Load frequency control of power systems with large scale of wind power integrated based on particle swarm algorithm

作　　者：周晖[1] 付娅[1] 韩盟[2] 肖智宏[3] 

机构地区：[1]北京交通大学电气工程学院,北京100044 [2]北京市电力公司调度通信中心,北京100031 [3]国网北京经济技术研究院,北京100052

出　　处：《电力系统保护与控制》2014年第10期1-7,共7页Power System Protection and Control

基　　金：国家电网公司科技项目<新一代智能变电站设计关键技术研究>

摘　　要：以含大规模风电的互联电力系统为研究对象,以抑制风电并网时所引起的系统频率不稳定为目的,提出了基于PSO的负荷频率控制器。传统的负荷频率控制器根据区域控制偏差来调整机组的出力,使区域控制偏差ACE趋于零,从而保证全系统发出的出力和负荷功率相匹配。把风电输出当作一个负的负荷作为等效负荷,在传统的比例积分控制器中引入PSO智能控制,可以进一步提高对等效负荷的控制效果。通过在Matlab/Simulink中构建的含风电的两区域互联电力系统的仿真结果表明,无论是互联电网的频率偏差还是联络线的交换功率,控制指标更优。An interconnected power system with large scale of wind power integration is taken as our research object. In order to keep the stability of frequency, a PSO based load frequency controller is proposed. According to the amount of area control error （ACE）, traditional load frequency controller is to adjust the output of units in order to make ACE approach to zero. Theft output from all generators is matched to the demand from load. Output from wind units is taken as a negative load and an equivalent load is formed. Intelligent PSO is introduced into traditional load frequency controller and is expected to improve the control performance. The simulation based on the model, which is constructed on Matlab/Simulink platform demonstrates that, for the new design controller, its performance index whether frequency error of interconnected network or exchange flow for the interconnected line is better than that of traditional load frequency controller.

关 键 词：风电接入 频率稳定 负荷频率控制器 粒子群智能控制 仿真 

分 类 号：TM614[电气工程—电力系统及自动化]