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基于改进蝙蝠算法的微电网优化研究
Research on Microgrid Optimization Based on Improved Bat Algorithm
【摘要】 为了协调微电网中各微电源的优化调度,文中研究了涵盖光伏、风电、储能、燃气轮机和燃料电池的分布式电源,在微电网并网与孤岛运行条件下,建立了以发电费用和污染物处罚费用最低的目标函数,并采用了具有Lévy飞行特征的蝙蝠算法求得一个调度周期内各个分布式电源的最优出力及总运行成本,最后将仿真结果与基本蝙蝠算法的结果相比较,从而验证了该文所研究的优化模型及改进后算法的可行性。
【Abstract】 To coordinate the optimal scheduling of all micro sources in the microgrid,this paper studies the distributed generation that covers PV,wind power,energy storage,gas turbine and fuel cell. Under the conditions of both grid connection and island operation,the function is established a with the lowest power generation cost and pollutant penalty cost as the objectiv,and the bat algorithm with Levy flight characteristic is used to obtain the optimal output and total operating cost of each distributed power source in a scheduling cycle. Finally,the simulation results are compared with the results of the basic bat algorithm,which has verified the feasibility of the optimized model and the improved algorithm studied in this paper.
【Key words】 micro-grid; bat algorithm; Lévy flight; multiobjective optimization;
- 【文献出处】 电网与清洁能源 ,Power System and Clean Energy , 编辑部邮箱 ,2021年04期
- 【分类号】TM73;TP18
- 【被引频次】7
- 【下载频次】419