基于概率法的静止无功补偿器设计

Robust SVC controller designed by probabilistic method

采用概率论方法对SVC(静止无功补偿器)的辅助阻尼控制器进行鲁棒设计,电力系统的多运行状态采用概率法进行描述。首先根据负荷变化曲线求得系统特征根的概率属性,传统的特征根分析法被扩展成为概率特征根分析法。然后推导概率的特征根灵敏度指标,并成功地用于SVC阻尼控制器的定位,输入信号选择与参数设计。所提出的方法也通过一个两区域四机系统进行检验,证实了该方法的有效性。

An apporach for robust Static Vat Compensator （SVC） controller design is presented in this paper, in which multi-operating conditions of a power system is considered by probabilistic technique. Conventional eigenvalue analysis is extended to the probabilistic environment in which the statistical nature of eigenvalues corresponding to different operating conditions is described by their expectations and variances. Probabilistic sensitivity indices to facilitate robust SVC controller site, feedback signal selection and parameters adjusting are then proposed. The effectiveness of the presented approach is demonstrated on a two-area four-machine system.