YE Lin1, XIAO Tannan2, LV Xiaoxiang2, WANG Jianquan2,

WANG Chao1, YANG Yi3, ZHOU Lihua3

 

(1. Zhejiang Electric Power Corporation, Hangzhou 310027, China; 2. College of Electrical Engineering, Zhejiang

 

University, Hangzhou 310027, China; 3. Zhejiang Huzhou Power Supply Company, Huzhou 313000, China)

Abstract: Aiming at solving transient stability constrained optimal power flow, a new and effective approach which is based on the Cooperative microparticle swarm is proposed. The technique can be used as a preventive control scheme. The formulas of transient stability constrained optimal power flow were derived through the addition of rotor angle inequality constraints into optimal power flow relationships, which is a highdimensional nonlinear dynamic optimization problem. Microevolutionary approaches employ very small populations of just a few individuals to provide solutions rapidly. It was proved to be useful in evolutionary computation due to the ability to solve highdimensional complex problem. The optimal schedule for the New England tengenerator, 39bus system, which has unstable contingencies, was obtained through this method. The method was proved to be effective and accurate by comparing the schedules solved by COMPSO and other reported intelligent algorithms. The results indicate that the proposed method can achieve better optimization through less calculation and be applied to the analysis of transient stability and rescheduling of power system.

 

Key words: microparticle swarm; power system; preventive control; transient stability; optimal power flow