Optimal economic dispatch of microgrid based on chaos map adaptive annealing particle swarm optimization algorithm

Abstract

This paper adds chaos optimization based on adaptive annealing particle swarm optimization algorithm, which improves the global convergence ability and makes up for the shortcomings of traditional PSO algorithm, which is easy to fall into local optimization in addition, this paper adds simulated annealing operator, improving the diversity of better population. In addition, the micro source of microgrid is modeled, and the constraints of the model are set. The fitness of the optimized algorithm is compared with the traditional algorithm, and the objective function involved in microgrid dispatching is taken as the application layer. Finally, through data analysis, the effectiveness of the optimization algorithm for microgrid optimal economic dispatching is confirmed.