Coordination and Optimization of Multi-controller Parameters in Power System Based on a Sphere Artificial Immune Algorithm

Interconnected power system is becoming more and more complex, in order to improve the performance of power system, the number and type of controllers are increasing. The interaction among controllers may be detrimental to the performance of power system, which would weak the performance of controllers. The purpose of this paper is to solve the problem of coordination control among controllers, firstly, a multi-controller parameter coordination model is given. Then, a spherical artificial immune algorithm is proposed to coordinate and optimize parameters among multi-damping controllers. This algorithm can reduce the computational complexity and optimize parameters globally. Finally, this algorithm is verified by the simulation of the four-machine two-area system. Compared with one similar method, simulation results show that this algorithm can effectively realize the coordination control among multi-damping controllers.