基于改进沙猫群算法的微电网日前优化调度

Day-ahead Optimal Scheduling of Microgrid Based on Improved Sand Cat Swarm Optimization

摘要:

微电网系统包括多种分布式能源，为降低微电网综合发电成本，提高供电的可靠性和安全性，合理安排微电网日前调度计划，以运行成本和环境保护成本最低为目标函数，首先，建立由水、光、微型燃气轮机、储能装置组成的微电网日前优化调度模型；然后，将反向学习策略和柯西变异算子融入到沙猫群算法中，提出一种改进沙猫群算法求解上述模型；最后，通过与其他算法进行调度的结果对比，结果表明改进沙猫群算法能更合理地安排各机组的出力计划，明显降低微电网运行综合成本，同时减少二氧化碳排放量，实现了微电网的经济环保优化调度。

Abstract:

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.