新型电力系统下空调负荷聚合建模及可调控潜力评估Air conditioning load aggregation modeling and the schedulable potential evaluation in the context of new-type power system
葛罗,冯煊,胡凯,施兴烨,池放,廖菲
GE Luo,FENG Xuan,HU Kai,SHI Xingye,CHI Fang,LIAO Fei
摘要(Abstract):
随着社会经济高速发展,环境污染与能源需求问题日益凸显,挖掘需求侧可调节资源变得尤为重要。夏季用电高峰时段中空调负荷占据很大比重,且空调负荷具有调度方式灵活、响应速度快、可调节潜力大等优点,可对其采取控制技术以缓解高峰期的用电紧张。为此,对空调负荷的聚合建模与可调度潜力进行研究,首先建立空调单体的热力学模型,在此基础上建立两类不同使用行为的空调负荷聚合模型,并求得空调聚合负荷功率需求,最后采用重设控制目标的方法分析聚合空调负荷的可调潜力。结果表明所述方法能有效评估空调负荷的可调潜力。
With the rapid socio-economic development, environmental pollution and energy demand are becoming increasingly prominent. Therefore, it becomes imperative to tap demand-side schedulable resources. Now that the air conditioning load occupies a large proportion of the peak power consumption in summer and is characterized by flexible scheduling, fast response and great schedulable potential, control technologies can be applied to ease up the shortage of power in peak hours. To this end, air conditioning load aggregation modeling and the schedulable potential are investigated. Firstly, a thermodynamic model of air conditioning is established. Secondly, an air conditioning load aggregation model with two kinds of different use behaviors is built, and the power demand of air conditioning load aggregation is obtained. Finally, the schedulable potential of the air conditioning aggregation load is analyzed by resetting the control targets. The results show that the method mentioned above can effectively evaluate the schedulable potential of air conditioning load.
关键词(KeyWords):
空调负荷;聚合建模;ETP;新型电力系统;可调控潜力
air conditioning load;aggregation modeling;ETP;new-type power system;schedulable potential
基金项目(Foundation): 国家电网有限公司总部管理咨询项目(811505220001)
作者(Author):
葛罗,冯煊,胡凯,施兴烨,池放,廖菲
GE Luo,FENG Xuan,HU Kai,SHI Xingye,CHI Fang,LIAO Fei
DOI: 10.19585/j.zjdl.202304006
参考文献(References):
- [1]白永秀,鲁能,李双媛.双碳目标提出的背景、挑战、机遇及实现路径[J].中国经济评论,2021(5):10-13.BAI Yongxiu,LU Neng,LI Shuangyuan. The background,challenges,opportunities and realization path of the double carbon target[J].China Economic Review,2021(5):10-13.
- [2] TAN Z F,NGAN H W,WU Y,et al.Potential and policy issues for sustainable development of wind power in China[J].Journal of Modern Power Systems and Clean Energy,2013,1(3):204-215.
- [3]徐潜,唐凌云,李西.新能源发电并网对电网电能质量的影响[J].集成电路应用,2020,37(9):138-139.XU Qian,TANG Lingyun,LI Xi.Influence of new energy power generation on power quality of grid[J].Application of IC,2020,37(9):138-139.
- [4] GOLDMAN C,HOPPER N,BHARVIRKAR R,et al.Estimating demand response market potential among large commercialand industrial customers:a scoping study[J].Lawrence Berkeley National Laboratory,2007.
- [5]王珂,姚建国,姚良忠,等.电力柔性负荷调度研究综述[J].电力系统自动化,2014,38(20):127-135.WANG Ke,YAO Jianguo,YAO Liangzhong,et al.Survey of research on flexible loads scheduling technologies[J]. Automation of Electric Power Systems,2014,38(20):127-135.
- [6]湖北日报.湖北电网用电负荷一日两创历史新高[N].http://news. cnhubei. com/content/2020-08/04/content_13251645.html.
- [7]宋梦,高赐威,苏卫华.面向需求响应应用的空调负荷建模及控制[J].电力系统自动化,2016,40(14):158-167.SONG Meng,GAO Ciwei,SU Weihua. Modeling and controlling of air-conditioning load for demand response applications[J]. Automation of Electric Power Systems,2016,40(14):158-167.
- [8]丛振兴.温控负荷聚合参与电力系统频率调节控制策略研究[D].南宁:广西大学,2021.CONG Zhenxing.Research on the control strategy of thermostatically controlled load aggregation participating in power system frequency regulation[D].Nanning:Guangxi University,2021.
- [9] YIN Z J,CHE Y B,LI D Z,et al.Optimal scheduling strategy for domestic electric water heaters based on the temperature state priority list[J].Energies,2017,10(9):1425.
- [10]王溪.基于大数据分析方法的温控负荷可调度容量预测及应用[D].合肥:合肥工业大学,2018.WANG Xi.Forecast and application of schedulable capacity of TCLs based on big data analysis method[D].Hefei:Hefei University of Technology,2018.
- [11]姜英涵.智慧社区电热水器类温控负荷需求响应控制策略研究[D].天津:天津大学,2018.JIANG Yinghan. Research on demand response control strategy for TCLs of DEWH type in smart community[D].Tianjin:Tianjin University,2018.
- [12]赵玉强.空调负荷参与需求响应的调控策略研究[D].南京:南京师范大学,2021.ZHAO Yuqiang.Research on control strategy of air conditioning load participating in demand response[D].Nanjing:Nanjing Normal University,2021.
- [13]程定一,马欢,杨冬,等.计及碳排放和空调负荷的源网荷协同调度技术研究[J].山东电力技术,2022,49(11):20-24.CHENG Dingyi,MA Huan,YANG Dong,et al.Co dispatch of source grid load considering carbon emission and air conditioning loads[J].Shandong Electric Power,2022,49(11):20-24.
- [14]赵兵,王增平,孙毅.计及差异化用能需求的集群空调负荷优化控制策略[J].电测与仪表,2021,58(9):22-27.ZHAO Bing,WANG Zengping,SUN Yi.An optimal control strategy of cluster air-conditioning loads considering differentiated energy consumption demand[J]. Electrical Measurement&Instrumentation,2021,58(9):22-27.
- [15] KATIPAMULA S,LU N. Evaluation of residential HVAC control strategies for demand response programs[J].ASHRAE Transactions,2006,112(1):535-546.
- [16]袁永东.单位面积换热功率与地源热泵适宜区划分[J].建筑热能通风空调,2013,32(2):12-14.YUAN Yongdong.Heat power per unit area and suitability division for ground source heat pump[J].Building Energy&Environment,2013,32(2):12-14.
- [17]刘磊.行为模式对居住建筑夏季空调能耗的影响研究:以湖北地区为例[D].武汉:华中科技大学,2018.LIU Lei. Influence of behavior patterns on energy consumption of air conditioning in residential buildings in summer—taking Hubei as an example[D].Wuhan:Huazhong University of Science and Technology,2018.
- [18]蒋婷婷.重庆地区夏季住户空调器使用行为模式研究[D].重庆:重庆大学,2019.JIANG Tingting.Study on the usage mode of air conditioners in residential building in summer in Chongqing[D].Chongqing:Chongqing University,2019.
- [19]李东东,刘洋,林顺富,等.典型居民温控负荷建模及聚合特性研究[J].电测与仪表,2017,54(16):56-62.LI Dongdong,LIU Yang,LIN Shunfu,et al.The study on the modeling and the aggregation characteristics of typical residential thermostatically-controlled load[J]. Electrical Measurement&Instrumentation,2017,54(16):56-62.
- [20]李百战,郑洁,姚润明.室内热环境与人体热舒适[M].重庆:重庆大学出版社,2012.
- [21]余娟.不同室内热经历下人体生理热适应对热反应的影响研究[D].上海:东华大学,2012.YU Juan.Studies on the effects of physiological acclimatization on thermal responses of people accustomed to different thermal indoor environments[D].Shanghai:Donghua University,2012.