电测与仪表2017，Vol.54Issue(22)：23-29,7.
改进粒子群算法的微网经济调度
Economic dispatch of micro-grid based on improved particle swarm optimization algorithm
芦思为 1黄彦全 1张培 1张远1
作者信息
- 1. 西南交通大学电气工程学院,成都610031
- 折叠
摘要
Abstract
As a form of operation organization for the production and consumption of electric power system , the microgrid plays an important role in the grid network.Power generation cost is taken as objective function , the cost of power generation is divided into operation cost and environmental cost according to the cost type or is divided into cost of co - generation system, the cost of fuel cell and the cost of grid according to generating unit type , as a result, two kinds of mult-iobjective functions are formed .The micro-grid system including wind turbine, photovoltaic array, micro turbine, fuel cell and battery is established. Then, for a specific micro-grid, using particle swarm optimization algorithm based on dynamic adjustment of similarity weights to optimize the dispatching of micro source output and power con - sumption of grid when connected to the grid .And the non-inferior solution sets of two kinds of multi-objective functions are optimized.Finally, all costs and benefits of the day are given.The numerical results show the feasibility and effectiveness of the proposed model and algorithm .关键词
微网/粒子群算法/经济调度/非劣解集Key words
micro-grid/particle swarm optimization algorithm/economic dispatch/non-inferior solution set分类
信息技术与安全科学引用本文复制引用
芦思为,黄彦全,张培,张远..改进粒子群算法的微网经济调度[J].电测与仪表,2017,54(22):23-29,7.
