Robust decentralised control design using genetic algorithms in power system damping control
Robust decentralised control design using genetic algorithms in power system damping control
复制标题
电力系统阻尼控制中遗传算法的鲁棒分散控制设计
DOI：
10.1049/ip-gtd:19981689
复制
发表时间：
1998
期刊：
影响因子：
--
通讯作者：
D. Falcão
中科院分区：
文献类型：
--
作者：
G. Taranto;D. Falcão
提出了一种基于遗传算法的线性鲁棒分散固定结构电力系统阻尼控制器的设计方法。所设计的控制器遵循一个经典的结构，包括一个增益，洗出阶段和两个超前滞后阶段。每个控制器与一组代表控制器增益和控制器相位特性的三个参数相关联。GA在参数空间上搜索最优解。控制器的鲁棒性被考虑作为设计过程考虑一个预先指定的一组操作条件，以稳定或改善的意义上的阻尼比增强。一个真正的分散控制设计实现了闭环控制通道同时关闭。该方法被用来设计SVC和TCSC阻尼控制器，以提高三区域六机系统的区域间模式的阻尼。本地电压和电流测量用于合成远程反馈信号。
The paper presents the design of linear robust decentralised fixed-structure power system damping controllers using genetic algorithms (GA). The designed controllers follow a classical structure consisting of a gain, a wash-out stage and two lead-lag stages. To each controller is associated a set of three parameters representing the controller gain and the controller phase characteristics. The GA searches for an optimum solution over the parameter space. Controller robustness is taken into account as the design procedure considers a prespecified set of operating conditions to be either stabilised or improved in the sense of damping ratio enhancement. A truly decentralised control design is achieved as the loop control channels are closed simultaneously. The approach is used to design SVC and TCSC damping controllers to enhance the damping of the interarea modes in a three-area six-machine system. Local voltage and current measurements are used to synthesise remote feedback signals.