Optimization allocation of microgrid capacity based on chaotic multiobjective quantum genetic algorithm

摘要

Optimization allocation of microgrid capacity which influences energy comprehensive utilization efficiency, power reliability and quality, is an important topic of microgrid design. Based on power characteristic analysis of Distributed Energy Resources, considering complex matching relations among energy resources, Distributed Generation, Distributed Energy Storage and loads, the objective functions of systematic economic cost, power supply reliability and environmental benefit are constructed. Chaotic Multi-objective Quantum Genetic Algorithm which integrated real-coded quantum genetic algorithm and multi-objective optimization strategies, is proposed on optimization allocation of microgrid capacity. Example analysis demonstrates its efficiency and validity. Optimized microgrid reduces economic cost and environmental pollution while improves power supply reliability.