In this paper the state-of-the-art extended particle swarm optimization (PSO) methods for solving multi-objective optimization problems are represented. We emphasize in those, the co-evolution technique of the parallel vector evaluated PSO (VEPSO), analysed and applied in a multi-objective problem of steady-state of power systems. Specifically, reactive power control is formulated as a multi-objective optimization problem and solved using the parallel VEPSO algorithm. The results on the IEEE 30-bus test system are compared with those given by another multi-objective evolutionary technique demonstrating the advantage of parallel VEPSO. The parallel VEPSO is also tested on a larger power system this with 136 busses. (C) 2009 Elsevier Ltd. All rights reserved.
Vlachogiannis, I. J., & Lee, K. Y. (2009). Multi-objective based on parallel vector evaluated particle swarm optimization for optimal steady-state performance of power systems. Expert Systems with Applications, 36(8), 10802-10808. https://doi.org/10.1016/j.eswa.2009.02.079