摘要
静止无功补偿器(static var compensator,SVC)通常用来进行负荷补偿或系统补偿,在系统补偿时往往用于电压稳定控制,针对电压稳定控制的工况,文中提出一种采用蚁群算法优化PI控制器参数的方法,克服了常规PI控制对被控对象数学模型的依赖性,简单易于实现。蚁群优化算法中,以时间与误差绝对值乘积积分(integral of time-weighted absolute error,ITAE)准则作为寻优目标函数,对PI控制器的比例、积分参数进行调整、寻优,使SVC系统的响应过程达到最优。仿真和实验结果表明,该最优PI控制器能快速跟踪SVC系统的电压设定值,基于该PI控制器的SVC能迅速进行无功补偿,具有较强的适应性和较高的补偿精度。
Generally, static var compensators （SVCs） are applied in load compensation or system compensation, and for the latter it is usually applied in voltage stability control. Aiming at the operating mode of voltage stability control, the authors propose an approach to optimize parameters of PI controller by ant colony optimization algorithm to cast away the dependence of conventional PI control on mathematical model of the controlled object. The proposed approach is simple and easy to implement. In ant colony optimization algorithm, taking the rule of integral of time-weighted absolute error （ITAE） as the searching objective function by which the proportional and integral parameters of PI controller are adjusted and searched to make the response process of SVC system optimal. Simulation and experiment results show that the proposed PI controller can fast trace the set value of SVC system; the SVC based on such a PI controller possesses better adaptability and higher compensating accuracy, can implement reactive power compensation quickly.
出处
《电网技术》
EI
CSCD
北大核心
2008年第18期41-46,共6页
Power System Technology
基金
国家自然科学基金资助项目(60474041)~~
