基于模糊优化集对分析理论的需求响应潜力评估
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摘要
以负荷聚合商为中间商的需求响应(demandresponse, DR)运营模式可以充分挖掘需求侧资源潜力,实现综合优化配置。针对该模式下需求响应潜力评估的问题,提出一种基于模糊优化集对分析理论的需求侧用户响应潜力评估方法。通过分析影响该模式下用户参与响应的因素,建立用户评估指标体系。在此基础上,对集对分析理论进行模糊优化,建立潜力评估的量化模型,实现对用户响应潜力的初步量化。通过模拟聚合商与用户之间的负荷分配仿真实验,验证该评估方法在提高聚合商削减负荷任务分配的准确性及任务完成率方面的有效性。
The demand-response business model with loadaggregators as the middleman can fully exploit the potential of thedemand-side resources and achieve the comprehensive optimiza-tion of power grid. Based on fuzzy set pair analysis, the potentialevaluation method of demand response is proposed. By analyzingthe influences of clients' response, the index system is estab-lished. Based on fuzzy set pair analysis, a model of potential assess-ment is established to achieve a preliminary quantification of userresponse potential. Through the load distribution simulation experi-ment between the aggregator and the user, the effectiveness of theevaluation method in improving the accuracy and task completionrate of the load reduction is verified.
The demand-response business model with loadaggregators as the middleman can fully exploit the potential of thedemand-side resources and achieve the comprehensive optimiza-tion of power grid. Based on fuzzy set pair analysis, the potentialevaluation method of demand response is proposed. By analyzingthe influences of clients' response, the index system is estab-lished. Based on fuzzy set pair analysis, a model of potential assess-ment is established to achieve a preliminary quantification of userresponse potential. Through the load distribution simulation experi-ment between the aggregator and the user, the effectiveness of theevaluation method in improving the accuracy and task completionrate of the load reduction is verified.
引文
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[4]赵洪山,王莹莹,陈松.需求响应对配电网供电可靠性的影响[J].电力系统自动化,2015,39(17):49-55.
[5]Yan H,Bin L,Chen S,et al.Future evolution of automated demand response system in smart grid for low-carbon economy[J].Journal of Modern Power Systems&Clean Energy,2015,3(1):72-81.
[6]Bai Y,Zhong H,Xia Q.Real-time demand response potential evaluation:a smart meter driven method[C]//IEEEPower and Energy Society General Meeting.Boston,America,2016.
[7]Albert A,Rajagopal R.Finding the right consumers for thermal demand-response:an experimental evaluation[J].IEEE Transactions on Smart Grid,2018,9(2):564-572.
[8]王蓓蓓,杨雪纯,杨胜春.基于中长期时间维度的需求响应潜力及效果的系统动力学分析[J].中国电机工程学报,2015,35(24):6 368-6 377.
[9]沈利兵,黄大荣,楚晓艳,等.基于三标度层次分析法的路网脆弱性影响因素研究[J].广西师范大学学报(自然科学版),2013,31(4):54-59.
[10]高赐威,李倩玉,李扬,等.基于DLC的空调负荷双层优化调度和控制策略[J].中国电机工程学报,2014,34(10):1 546-1 555.
[11]Pourmousavi S A,Patrick S N,Nehrir M H.Real-time demand response through aggregate electric water heaters for load shifting and balancing wind generation[J].IEEETransactions on Smart Grid,2014,5(2):769-778.
[2]陈政,王丽华,曾鸣,等.国内外售电侧改革背景下的电力需求侧管理[J].电力需求侧管理,2016,18(3):62-64.
[3]Jacobsen R H,Gabioud D,Basso G,et al.SEMIAH:An aggregator framework for European demand response programs[C]//Euromicro Conference on Digital Systems Design.Funchal,Madeira,Portugal:IEEE,2015:470-477.
[4]赵洪山,王莹莹,陈松.需求响应对配电网供电可靠性的影响[J].电力系统自动化,2015,39(17):49-55.
[5]Yan H,Bin L,Chen S,et al.Future evolution of automated demand response system in smart grid for low-carbon economy[J].Journal of Modern Power Systems&Clean Energy,2015,3(1):72-81.
[6]Bai Y,Zhong H,Xia Q.Real-time demand response potential evaluation:a smart meter driven method[C]//IEEEPower and Energy Society General Meeting.Boston,America,2016.
[7]Albert A,Rajagopal R.Finding the right consumers for thermal demand-response:an experimental evaluation[J].IEEE Transactions on Smart Grid,2018,9(2):564-572.
[8]王蓓蓓,杨雪纯,杨胜春.基于中长期时间维度的需求响应潜力及效果的系统动力学分析[J].中国电机工程学报,2015,35(24):6 368-6 377.
[9]沈利兵,黄大荣,楚晓艳,等.基于三标度层次分析法的路网脆弱性影响因素研究[J].广西师范大学学报(自然科学版),2013,31(4):54-59.
[10]高赐威,李倩玉,李扬,等.基于DLC的空调负荷双层优化调度和控制策略[J].中国电机工程学报,2014,34(10):1 546-1 555.
[11]Pourmousavi S A,Patrick S N,Nehrir M H.Real-time demand response through aggregate electric water heaters for load shifting and balancing wind generation[J].IEEETransactions on Smart Grid,2014,5(2):769-778.