智能电网下用户用电系统多目标调度策略研究

Research on multi-objective scheduling strategy for user power system under smart grid

用户用电系统是智能电网在居民侧的延伸,是智能电网领域的研究热点之一。通过对居民主要家电的用电起始时间、用电时长、用电时段数的设计,依据动态电价信息,结合分布式电源、电动汽车向电网反馈电能的能力,对用电负载、光伏电池板以及电动汽车建立数学模型,利用粒子群算法进行寻优求解,对用户用电系统多目标运行进行调度安排,在不影响用户用电舒适度的情况下,给出一种以用电费用最小为目标的用电安排策略。最后经过实例分析,通过仿真结果比较发现,用电安排策略有效的降低了34.6%的用电费用,验证了用电安排策略的可行性和经济性,为用户合理用电提供了理论指导。

User power system is an extension of the smart grid in the residential side,is one of the smart grid research hotspot.Based on the dynamic electricity price information,combined with the distributed power supply,the ability of the electric vehicle to feed back the electric energy to the grid,the paper analyzes the influence of the electricity load,the time of the electricity,Board and electric vehicle are established,the particle swarm optimization algorithm is used to solve the problem,and the multi-objective operation of the user power system is scheduled and arranged.Without affecting the user′s electric comfort,a method is proposed to minimize the electricity cost as the goal of electricity scheduling strategy.Finally,through the analysis of examples,the results of MATLAB simulation show that the electricity scheduling strategy effectively reduces the electricity cost of 34.6%,which verifies the feasibility and economy of the electricity arrangement strategy,and provides the theoretical guidance for users to use electricity reasonably.