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四川大学电气工程学院,四川省成都市 610065
Received:24 March 2023,
Revised:2023-08-03,
Published Online:05 September 2023,
Published:10 November 2023
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刘广生,李成鑫,侯治吉等.计及用户舒适度的空调负荷可调节能力评估及响应策略[J].电力系统自动化,2023,47(21):58-66.
LIU Guangsheng,LI Chengxin,HOU Zhiji,et al.Evaluation of Adjustable Capacity and Response Strategy for Air Conditioning Load Considering Comfort of Customers[J].Automation of Electric Power Systems,2023,47(21):58-66.
刘广生,李成鑫,侯治吉等.计及用户舒适度的空调负荷可调节能力评估及响应策略[J].电力系统自动化,2023,47(21):58-66. DOI: 10.7500/AEPS20230324006.
LIU Guangsheng,LI Chengxin,HOU Zhiji,et al.Evaluation of Adjustable Capacity and Response Strategy for Air Conditioning Load Considering Comfort of Customers[J].Automation of Electric Power Systems,2023,47(21):58-66. DOI: 10.7500/AEPS20230324006.
空调负荷以其环境的热储能特性、可控特性、负荷比重大等特点成为一种优质的灵活负荷资源。进行空调负荷的可调节能力评估和响应策略研究是将其转换成实际可调资源的关键技术问题。首先,在二阶等效热参数模型的基础上,分析了定频空调的运行特性和发挥可调节能力的机理;其次,建立了以响应时长和响应功率为评估指标的定频空调负荷可调节能力评估方法,并在用户舒适温度区间内更深入地挖掘空调负荷的可调节能力;进一步,考虑温度调节对用户舒适度的影响,在可调节能力的基础上,提出一种以平均舒适度为排序指标的空调设备需求响应策略,并与其余两种响应策略比较了响应效果。仿真结果表明,所提评估方法能更深入地挖掘空调负荷的可调节能力,所提响应策略在较好地保证用户舒适度的同时,响应效果更好,工程应用价值显著。
Air conditioning load has become a high-quality flexible load resource due to its environmental thermal energy storage characteristics
controllable characteristics and large load ratio. Evaluating the adjustable capacity and studying the response strategy for air conditioning loads are key technical issues when converting them into actual adjustable resources. First
based on the second-order equivalent thermal parameter (ETP) model
the operation characteristics of fixed-frequency air conditioner and the mechanism of exerting its adjustable capacity are analyzed. Then
an evaluation method for the adjustable capacity of fixed-frequency air conditioning load is established by taking response time and response power as evaluation indicators
and the adjustable capacity of air conditioning load is further explored within the comfortable temperature range of customers. Furthermore
considering the impact of temperature regulation on comfort of customers
based on the adjustable capacity
a demand response strategy for the air conditioning equipment by taking average comfort as the ranking index is proposed
and the response effect is compared with the other two response strategies. The simulation results show that the proposed evaluation method can more deeply utilize the adjustable capacity of air conditioning load
and the proposed response strategy has better response effect and significant engineering application value while ensuring the comfort of customers.
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