based on extracting nondominated solution

 

MA Lixin, WANG Hongyu

 

(School of OpticalElectrical and Computer Engineering University

Shanghai for Science and Technology, Shanghai 200093, China)

 

 

Abstract: Aiming at solving the problem that traditional multiobjective particle swarm optimization algorithm uses the weight coefficient method to transform multiobjective optimization into single objective optimization while ignoring the competitive relationship between the objectives, the method of extracting nondominated solution was applied to power system reactive power optimization to obtain Pareto optimal solutions with the three objectives—the power system active power loss, voltage deviation and voltage stability margin—competing enough. A simulation experiment has been done based on the IEEE14 bus system. The results indicate that the algorithm can bring out many groups of nondominated solutions every single run, including solutions inclined to single objective and solutions giving consideration to all the three objectives, so the algorithm overcomes the blindness and singleness of traditional method. Power system decisionmakers can choose the optimal solution in terms of actual requirements, which has a good flexibility and variety.

 

Key words: multiobjective particle swarm optimization; power system reactive power optimization; the method of extracting nondominated solution; Pareto optimal solution