摘要
针对微电网调度的问题,以微电网经济成本最小与污染排放气体最少为目标,建立了微电网日优化运行的数学模型。针对人工鱼群算法易陷入局部最优的问题,将人工鱼群的觅食和随机行为与天牛须搜索算法中天牛位置更新方法相结合,提出基于天牛须搜索算法的人工鱼群算法(artificial fish swarm algorithm based on beetle antennae search algorithm,BAS-AFSA)求解所建立的数学模型。最后以一个微电网系统为例,在并网运行的情况下,结合标准人工鱼群算法作对比,仿真结果表明,所提算法能够合理安排微源出力,降低了总成本,微电网获得了更好的综合效益。
Aimingat the problem of economic dispatch,firstlythe mathematical model of daily optimal operation of micro-grid is established with the goal of minimizing the economic cost of micro-grid and minimizing the emission of polluted gas. Then,in order to solve the problem that artificial fish swarm algorithm is easy to fall into local optimum,combining the foraging behavior and random behavior of artificial fish swarm with beetleslocation updating of beetle antennae search algorithm,an artificial fish swarm algorithm based on beetle antennae search algorithmis proposed to solve the established mathematical model. Finally,taking a micro-grid system as an example,the improved algorithm is compared with standard artificial fish swarm algorithm in the case of grid-connected operation. The simulation results demonstrate the superiority of the global search performance of the proposed algorithm,and the micro-grid can obtain better comprehensive benefits using the proposed algorithm.
作者
周磊
董学育
孙飞
ZHOU Lei;DONG Xueyu;SUN Fei(College of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;Zhejiang Transmission and Distribution Engineering Corporation,Hangzhou 310000,China)
出处
《供用电》
2019年第12期62-68,共7页
Distribution & Utilization
基金
国家自然科学基金(51577086)
南京工程学院大学生科技创新项目(TB20191644)~~
关键词
微电网
经济调度
多目标优化
人工鱼群算法
天牛须搜索算法
micro-grid
economic dispatch
multi-objective optimization
artificial fish swarm algorithm
beetle antennae search algorithm
