Power system reactive power optimization based on multi-objective particle swarm algorithm

Considering the active power loss and voltage deviation,a multi-objective particle swarm optimization algorithm(MOPSO) is presented.MOPSO incorporates non-dominated sorting and crowding distance to improve the diversity of the Pareto solutions.Four benchmark test functions ZDT1～ZDT4 are used to test the performance of the proposed algorithm.Performance comparison between MOPSO and other typical algorithms is made.The simulation results of the standard IEEE-30-bus power system indicate that MOPSO is a good choice of power system reactive power optimization.The results show that MOPSO can provide the clear relation between active power loss and voltage deviation,and it is able to offer diverse solutions for different conditions.The stability of MOPSO has been confirmed through superposing many solutions together.