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基于需求响应的家庭智能用电优化问题研究动态 被引量:1

Research Trends of Household Smart Power Consumption Optimization Based on Demand Response
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摘要 近年来随着智能电网以及智能用电技术的发展,越来越多的家庭愿意参与不同类型的需求响应用电计划。在需求响应信号下,家庭能源管理系统产生一系列指令控制家用电器、分布式电源的运行方式,能够降低整体用电成本,提高能源使用效率。此文介绍了分布式电源包括可再生能源、电动汽车、储能设备在家庭的应用。并总结了需求响应下家庭智能用电优化模型及求解方法,梳理了博弈论模型在家庭智能用电优化调度的应用。最后提出了需求响应下家庭用电优化管理进一步可研究的关键问题。 With the development of smart grid and smart power technology in recent years,more and more families are willing to participate in different types of demand response plans.Under the demand response signal,the household energy management system produces a series of instructions to control the operation mode of household appliances and distributed generation,which can reduce the overall power consumption cost and improve the efficiency of energy efficiency.This paper first introduces the application of distributed power source including renewable energy,electric vehicle and energy storage equipment in home.Then it summarizes the smart electricity optimization model and solution method of household smart power consumption based on demand response,and combs the application of game theoretic model in household smart power consumption optimization scheduling.Finally,the key issues for further research on the household power consumption optimization management based on demand response are put forward.
作者 张彩庆 许铃莉 ZHANG Caiqing;XU Lingli(Department of Economic Management,North China Electric Power University,Baoding 071003,China)
出处 《国网技术学院学报》 2019年第3期1-4,共4页 Journal of State Grid Technology College
基金 国家自然科学基金资助项目:“智能电网环境下我国电力工业碳排放控制关键问题研究”(项目编号:71471061)
关键词 需求响应 智能用电 分布式电源 用电优化模型 demand response smart power consumption distributed generation electricity optimization model
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