基于遗传算法的优化控制在VSC-HVDC中的应用  

Application of Genetic Algorithm Based Optimal Control in VSC-HVDC

作　　者：陈蔓[1] 陆继明[1] 毛承雄[1] 胡兆庆[1] 

机构地区：[1]华中科技大学电气与电子工程学院,武汉430074

出　　处：《电力系统及其自动化学报》2006年第4期19-23,共5页Proceedings of the CSU-EPSA

基　　金：教育部优秀青年教师资助计划项目(EYTP);新世纪优秀人才支持计划资助项目(NCET)

摘　　要：基于电压源型的新型高压直流输电系统具有广阔的应用前景,这种新型的直流输电技术和传统直流输电相比,有许多优点。本文在建立有新型高压直流输电系统的交直流混合系统模型基础上,提出一种利用新型高压直流输电系统潮流快速调节能力综合稳定交直流系统的控制方式,以发电机和交流系统有关参量组成新的性能指标。利用遗传算法对控制器参数进行寻优,形成一种新型的优化控制策略。仿真结果证明,遗传算法能有效地对新型高压直流输电系统控制参数进行优化,且系统响应特性较参数优化前有较明显改善。VSC-HVDC has a wide application prospect and many merits compared with conventional HVDC. The models of AC/DC hybrid power system including VSC-HVDC are established in this paper. Utilizing the fast power flow adjustment ability of VSC-HVDC, a novel control strategy for stabilizing AC and DC system synthetically is proposed based on the models. A new performance index composed of generator and AC system variables is introduced for the optimization of controller parameters by using GA. The simulation results show that the VSC-HVDC controller parameters can be optimized effectively, and the response characteristic of the system is better than that without parameter optimization.

关 键 词：新型高压直流输电 交直流 优化控制策略 遗传算法 

分 类 号：TM721.1[电气工程—电力系统及自动化]