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基于时变互补特性的聚合空调调控及恢复策略 被引量:12

Coordinated Control and Recovery Strategy for Aggregated Air-conditioner Based on Time-variant Complementary Characteristics
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摘要 因具有较好的空间热储能特性,聚合空调负荷调控已纳入常态化电力系统运行中,但调控策略很大程度上将破坏负荷群的多样性,带来聚合功率振荡、响应潜力不稳定、反弹负荷过大等问题。针对这些问题,文中重点分析了调温控制对单体、聚合空调功率和响应潜力的影响,建立了基于调温控制的聚合空调功率时变特性模型及聚合方法。然后,基于分时段调控架构,构建了基于时变互补特性的聚合空调两阶段调控模型,并提出了相应的响应调控和负荷恢复策略,提升了空调群聚合质量。最后,基于15 000台空调仿真分析了外界温度、调温幅度等因素对聚合功率的影响,同时将分时段空调群调控策略应用于需求响应事件,结果表明了所提方法的有效性。 Coordinated control of load for aggregated air-conditioners(ACs)has been included in the normal operation of power system due to better characteristics of spatial thermal storage.However,it leads to many problems such as aggregated power oscillation,unstable response potential and excessive rebound load,because the diversity of load groups is destroyed by the control strategy.To solve these problems,the influence of temperature control on the power and response potential of single and aggregated ACs is analyzed,then the time-variant power characteristic model and polymerization method of aggregated ACs are established based on the temperature control.To improve the aggregated quality of air-conditioner groups,the two-stage coordinated control model of aggregated ACs with time-variant complementary characteristics is built based on the framework of time-phase coordinated control and the corresponding response and recovery strategies are proposed.Finally,based on simulations with 15000 ACs,the influence of external temperature,temperature strategy and other factors on the aggregated power is analyzed.Meanwhile,the coordinated control strategy of time-phase air-conditioner groups is applied in demand response events.The results verify the effectiveness of the proposed method.
作者 陈璐 杨永标 徐青山 CHEN Lu;YANG Yongbiao;XU Qingshan(School of Electrical Engineering,Southeast University,Nanjing 210096,China)
出处 《电力系统自动化》 EI CSCD 北大核心 2020年第13期39-47,共9页 Automation of Electric Power Systems
基金 国家重点研发计划资助项目(2017YFA0700300)。
关键词 聚合空调 调温控制 需求响应 负荷恢复 aggregated air-conditioner(AC) temperature control demand response load recovery
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