Global Generator and Transmission Maintenance Scheduling Based On a Mixed Intelligent Optimal Algorithm in Power Market

This paper presents a mathematical model of coordination and optimization of generator and transmission maintenance in power market. In this model, security and economical efficiency of power system and fairness of power market are taken into account. A hybrid algorithm that takes full advantages of genetic algorithm (GA) and particle swarm optimization (PSO) is applied to solving this model. Population of the hybrid algorithm is divided into two parts that evolve separately using GA and PSO. The optimization information resulted from two algorithms will be exchanged fully to form a new and tight coupled genetic particle swarm optimization (GPSO). The test case verifies that this algorithm has favorable equilibrium on both global and local search in solving large-scale complicated optimization problem such as global generator and transmission maintenance scheduling.