TRANSIENT STABILITY LIMIT ESTIMATION AND PREVENTIVE CONTROL BASED ON RADIAL BASIS FUNCTION NETWORKS
Chu Xiaodong , Liu Yutian , Qiu Xizhao (1. Shandong University, Jinan 250061, China) (2. Shandong Electric Power Control Center, Jinan 250001, China)
A preventive control decision-making method for transient stability is proposed. Radial basis function networks are applied to on-line estimation of transient stability limits of critical lines in a power system. Partial derivatives of the trained radial basis function networks' outputs to inputs are also used to make preventive control decisions. Simulation results of a real power system show that radial basis function networks are precise in estimation of transient stability limits including power transfer limits on critical lines and power generation limits of related power plants. Preventive control decisions made can prevent the power system from losing transient stability after contingencies so as to improve transient stability effectively.