摘要
为了提高清洁能源的利用率,降低微电网的发电成本,首先以微电网的发电成本最小与污染排放最少为目标,考虑到微电网实际运行的约束条件,建立了包含风机、光伏电池、燃气轮机、燃料电池及蓄电池的微电网日优化运行模型;然后针对天牛须的步长更新无规则问题,将群智能算法的思想和步长反馈思想引入标准天牛群算法中;最后将标准的天牛算法与改进的天牛算法分别用于微电网日优化运行模型的求解,验证改进算法能使微电网降低发电成本,减少环境污染。
In order to improve the utilization rate of clean energy and reduce the generation cost ofthe microgrid,firstly,with the goal of minimum generation cost and pollution emission of the microgrid,considering the constraints of the actual operation of the microgrid,a daily optimal operation model of the microgrid including wind turbines,photovoltaic cells,gas turbines,fuel cells and batteries is established.Then,for the problem of step-size update without rules,the ideas of swarm intelligence algorithm and the idea of step-size feedback are introduced into the standard Beetle swarm antennae search algorithm.Finally,the standard algorithm and the improved algorithm are respectively used to solve the daily optimal operation model of the microgrid,which proves that the improved algorithm can reduce the generation cost and environmental pollution of the microgrid.
作者
周磊
葛鹏
葛家宁
瞿吉
张森
袁全
ZHOU Lei;GE Peng;GE Jianing;QU Ji;ZHANG Sen;YUAN Quan(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;Nantong Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Nantong 226000,China)
出处
《电工技术》
2020年第9期5-7,共3页
Electric Engineering
基金
江苏省研究生实践创新计划项目(编号SJCX 19-0524)
南京工程学院科技创新项目(编号TB20191644)
南京工程学院科技创新项目(编号TB20201601)。
关键词
微电网
运行优化
天牛群算法
步长反馈更新
microgrid
optimal operation
Beetle swarm antennae search algorithm
step-size feedback and update
