基于分布式模型预测控制算法在AGC系统的应用研究  

Research of AGC Based on Distributed Model Predictive Algorithm

作　　者：张永[1] 常学飞[2] 韩春雷[1] 任学海[1] 

机构地区：[1]国网浙江省电力公司检修分公司,杭州311232 [2]国网吉林省电力有限公司电力科学研究院,长春130021

出　　处：《吉林电力》2013年第5期13-16,共4页Jilin Electric Power

摘　　要：针对风电等间歇性电源大规模并网后,系统在满足安全性和可靠性的前提下自动发电控制(AGC)系统调节速率和调节精度的协调性问题,将基于分布式模型预测控制算法(DMPC)引入AGC系统,初步研究和IEEE 43测试系统仿真表明,该算法提高了AGC系统调节速度和调节精度之间的协调性,可有效平抑大规模风电接入带来的系统频率波动和联络线功率偏移,为改善AGC系统性能提供了新的思路。In order to improve the coordination between the regulation speed and accuracy of AGC system under the preconditions of meeting the safety and reliability requirements, DMPC algorithm has been induced into AGC system after the integration of wind power and other interval power sources into the power grid in large scales. Primary research and IEEE43 testing system simulation show this algorithm has improved the coordination between AGC system regulation speed and accuracy. The improved AGC system could effectively smooth the system frequency fluctuations and tie line power offset caused by wind power integration. It is a new idea to modify the AGC system properties.

关 键 词：AGC 分布式模型预测控制 仿真 

分 类 号：TM76[电气工程—电力系统及自动化]