成都大学学报（自然科学版）2016，Vol.35Issue(4)：361-367,7.
基于粒子群算法的微电网动态经济调度
Dynamic Economic Dispatch of Micro-grid Based on Particle Swarm Optimization
摘要
Abstract
The dynamic economic dispatch of micro-gird meets the requirements of the system in its actual operation because it not only considers the lowest cost in a dispatching cycle but also takes account of the coordination between different equipment operations in multi-period .In this paper ,we establish a combined heat and power(CHP) micro-grid system which includes wind turbines(WT) ,photovoltaic arrays(PV) ,die-sel engines(DE) ,and fuel cell(FC) .The paper studies the situation when the micro-grid system is in grid-connected operation by taking the maximum comprehensive benefits of the operation cost and the pollutant treatment cost of the micro-grid system as the objective function for dynamic economic dispatch .At the same time ,the paper studies the dynamic economic dispatch model influenced by uncertainty factors such as the fluctuation of renewable energy ,load fluctuation error and fault shutdown of unit .The improved parti-cle swarm optimization (PSO ) algorithm is used to solve the objective function .Finally ,the influence of dif-ferent scheduling strategies ,optimization goals and reliability indexes on dynamic economic dispatch is dis-cussed .The research can provide some reference for dynamic economic dispatch of micro-grid in terms of making full use of renewable energy and improving the micro-grid system reliability .关键词
微电网系统/动态经济调度/改进型粒子群算法/不确定性因素Key words
micro-grid/dynamic economic dispatch/modified particle swarm optimization/uncertainty fac-tors分类
信息技术与安全科学引用本文复制引用
刘星月,喻娜,罗正华..基于粒子群算法的微电网动态经济调度[J].成都大学学报（自然科学版）,2016,35(4):361-367,7.基金项目
四川省教育厅自然科学基金（15ZA0357）、四川省科技厅自然科学基金（2016JY0252）资助项目． （）
