基于大数据的客户用电优化策略研究

IF 1.9 Q4 ENERGY & FUELS
Jiangping Liu , Zong Wang , Hui Hu , Shaoxiang Xu , Jiabin Wang , Ying Liu
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引用次数: 0

摘要

当前的电力系统在支持大规模获取新能源方面面临重大挑战,需要从供电、电网和客户的角度充分发掘现有灵活资源的潜力。提出了一种考虑设备与用电量相关性的多目标用电量优化策略。构建了考虑设备与用电量相关性的多目标用电量优化模型,以实现经济性和舒适性的最大化。结果表明,本文提出的方法能够准确地评估用户用电量优化潜力,并根据用户实际用电量需求得出最优的多目标用电量策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the optimization strategy of customers’ electricity consumption based on big data

Current power systems face significant challenges in supporting large-scale access to new energy sources, and the potential of existing flexible resources needs to be fully explored from the power supply, grid, and customer perspectives. This paper proposes a multi-objective electricity consumption optimization strategy considering the correlation between equipment and electricity consumption. It constructs a multi-objective electricity consumption optimization model that considers the correlation between equipment and electricity consumption to maximize economy and comfort. The results show that the proposed method can accurately assess the potential for electricity consumption optimization and obtain an optimal multi-objective electricity consumption strategy based on customers’ actual electricity consumption demand.

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来源期刊
Global Energy Interconnection
Global Energy Interconnection Engineering-Automotive Engineering
CiteScore
5.70
自引率
0.00%
发文量
985
审稿时长
15 weeks
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