Research on Distributed Application of Particle Swarm Optimization in Power System Operation

Research on distributed application of the particle swarm optimization in power system operation is conducted in this paper. It is considered that, when carrying out the maintenance of electrical equipment, the state of the electrical equipment is first evaluated, and on the basis of clarifying the initial state and performance of the equipment, it is determined whether the equipment has a fault problem and whether maintenance work needs to be arranged. Secondly, in order to avoid maintenance errors, it is necessary to plan equipment-related information, classify the information, and then share information according to different information characteristics, so that relevant personnel can grasp useful information in time to reduce the maintenance difficulty and error rate. For example, the maintenance method should be used as much as possible, and the direct replacement method should be used as little as possible. Hence, this paper also then define the novel solutions for the efficient model. Through the testing, the sufficient model is validated.