Microgrid systems include a variety of distributed energy sources.In order to reduce the integrated generation cost of microgrid,improve the reliability and security of power supply and reasonably arrange the microgrid day-ahead scheduling plan,taking the minimum cost of operation and environmental protection as the objective function,a microgrid day-ahead optimal scheduling model consisting of water,solar,micro gas turbine,and energy storage device is firstly established.And then,the inverse learning strategy and Cauchy variation operator are incorporated into the sand cat swarm optimization(SCSO)algorithm,and an improved sand cat swarm optimization(ISCSO)algorithm is proposed to solve the above model.Finally,by comparing the results of scheduling with other algorithms,the results show that ISCSO can arrange the output plan of each unit in a more reasonable way,which obviously reduces the comprehensive cost of microgrid operation,and at the same time reduces the carbon dioxide emission,and realizes the economic and environmental protection optimal scheduling of microgrid.
维普
万方数据
