广东工业大学学报2018，Vol.35Issue(3)：100-106,7.DOI:10.12052/gdutxb.170130
基于动态模糊混沌粒子群算法的含电动汽车微电网多目标优化调度研究
Multi-objective Dispatch of Microgrid Based on Dynamic Fuzzy Chaotic Particle Swarm Algorithm
摘要
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.关键词
微电网调度/动态模糊/混沌组合映射/粒子群算法/多目标优化Key words
dispatch of microgrid/dynamic fuzzy/chaotic combining mapping/particle swarm optimization algorithm/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
唐俊杰,陈璟华,邱明晋..基于动态模糊混沌粒子群算法的含电动汽车微电网多目标优化调度研究[J].广东工业大学学报,2018,35(3):100-106,7.基金项目
中央财政支持地方高校发展专项资金项目([2016]202号) （[2016]202号）
