摘要
家庭负荷是电网负荷的重要组成部分。在智能电网环境下,家庭负荷的灵活调度能够有效缓解电力供应紧张问题,有利于需求响应在用户侧的实施。本文提出了一种基于多目标和声搜索算法的社区能量管理系统优化调度方法,以减少用户的用电成本和平抑配电网侧负荷波动为目标,建立了计及分布式电源、储能系统和可调度负荷的智慧社区能量管理系统模型。根据Pareto理论,通过改进的多目标和声搜索算法求解,并与其他算法进行对比。仿真结果表明,所建模型和调度方案能够有效减少用户用电成本和平抑配电网侧负荷波动,改进的算法具有更强的寻优性能。
The home load is an important part of the grid load. Under the smart grid environment, the flexible scheduling of domestic loads can effectively alleviate the shortage of power supply and facilitate the implementation of the demand response on the user side. This paper proposed a collaborative scheduling method of smart community based on multi-objective harmony search algorithm. For reducing the user's electricity cost and load fluctuations on the distribution network side, this paper establishes a smart community energy management system model. The distributed power, energy storage system and schedulable load are considered in the model. Then, the model is solved by the improved multi-objective harmony search algorithm based on Pareto theory, and the method is compared with other algorithms. The simulation results have showed that the model and scheduling scheme can effectively reduce the user's electricity cost and load fluctuations, and the improved algorithm has stronger optimization performance.
引文
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