Abstract: A method to deal with dispatch of Microgrid is proposed based on the dynamic fuzzy chaotic particle swarm algorithm. Using dynamic objective function and fuzzy theory to solve the defects of the subjective weight, a microgrid scheduling model is found which aims for lower maintenance cost and environmental pollution. Multi-objective dispatch of microgrid belongs to the multivariable and strongly nonlinear optimization problem. Since the traditional particle swarm algorithm tends to trap in the local superior, in the particle initialization, a chaotic mapping combining the Chebyshev maps and the Logistic map is introduced, and in the process of particle update, the Logistic map is introduced which increases the ergodicity of particles and strengthens global optimization ability of algorithm. According to the value of inertia weight in particle swarm updating, the strategy of changing the inertia weight with the gradient of iteration number adopted. The simulation experiment of multi-objective dispatch of microgrid shows that the algorithm has higher convergence speed and better convergence effect.

Key words: dispatch of microgrid, dynamic fuzzy, chaotic combining mapping, particle swarm optimization algorithm, multi-objective optimization