Abstract
Particle swarm optimization (PSO) has its own shortcomings, which is easy to fall into the local optimum, especially in solving high-dimensional complex problems. So an improved PSO algorithm is proposed, which uses two-stage nonlinear adjustment of inertia weight in order to effectively balance the “exploration” and “exploit” capabilities of it. Finally, the proposed algorithm is used to solve the power system economic dispatch problem. The simulation results show that the algorithm has better optimization ability than other PSO algorithms in solving practical problems.
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