Investigations Of Switching Station Planning Based On Fuzzy Adaptive Particle Swarm Optimization

The10kV switching station is becoming more and more important in the distributionnetwork which has higher load density. The switching station planning is an important part ofdistribution network planning, which directly affects the network structure of the distributionnetwork, power quality, supply reliability and operational economy.This paper firstly studies the basic principles and steps of the particle swarmoptimization, and then analyzes the principles and componentes of the fuzzy control system,gives a fuzzy adaptive particle swarm optimization which combines the fuzzy control systemwith the particle swarm optimization. After analyzing the cost of the construction andoperation of the switching station, it puts forward the mathmatical model of the switchingstation planning, solves two examples of district’s switching station planning by using thebasic PSO and the FAPSO respectively. The planning results illustrate the effectiveness andsuperiority of the FAPSO in the switching station planning area.In this paper, an improved method updating in pace with iteration is introduced for thedetermination of switching station’s power supply region. Hence, it is a dynamic optimizationwhich is expected to be quite superior to the traditional static method. In addition, for theplanning of entire area’s switching station, it is evident that the simultaneous optimizationmethod, which is presented in this paper, is distinct from the one by one optimization method.That is to say, the successive multi-source site selection is applied in stead of transformingmulti-source site selection problem into single-source site selection problem. Therefore, thismethod is much more reasonable which can better meet the demand of practical engineeringapplication.