A MSM-PGA based on Multi-Agent and its application in reactive power optimization of power systems

Reactive power optimization of power system is a dispersed, many variables, many restraint and non-linearly combination optimization problem, so it is very difficult to find optimum solving in theory. This paper combines Multi-Agent theory and MSM-PGA (Master-Slave Model Parallel Genetic Algorithm) together, form one MSM-PGA Multi-Agent union. This union solves the problem of reactive power optimization of power system by the coordination between many Agents inside the union. In this paper, the introduction of Multi-Agent theory, make the master course and slave course of MSM-PGA to be made of Agent, so the ability of communication and coordination raise greatly; And compared with other algorithm, using this MSM-PGA based on Multi-Agent to solve the problem of reactive power optimization of power system has rapid computer speed and high precision, and can obtain the more excellent solve than other algorithm.