基于改进麻雀搜索算法的微电网优化调度

Optimal Scheduling of Microgrid Basedon Improved Sparrow Search Algorithm

为使微型电网在工作过程中适应负载的出力要求,并使经济性和环境效益达到最优化,构建了包括光伏、风能、微燃机和蓄电池等微型电网优化模式.使用麻雀搜索算法时容易陷入局部最优估计、收敛速度过慢等问题,甚至无法寻找全局最优估计解.针对以上问题,提出了Tent混沌结合纵横交错策略优化的麻雀搜索算法,并与麻雀搜索算法进行比较.结果证明,该方案有较好的全局搜寻能力和收敛速率,降低了微电网的运算成本.

In order to make the microgrid adapt to the output requirements of the load during the working process,and to optimize the economic and environmental benefits,a microgrid optimization mode including photovoltaic,wind energy,micro-gas turbine and storage battery is constructed.When using the sparrow search algorithm,it is easy to fall into the local optimal estimation,the convergence speed is too slow,and even cannot find the global optimal estimation solution.Therefore,a sparrow search algorithm optimized by Tent chaos combined with the criss-cross strategy is proposed,and is compared out with the sparrow search algorithm.The results confirm that the scheme has better global search ability and convergence rate,and reduces the computing cost of the microgrid.