考虑LA灵活度的荷源调度方法
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摘要
针对LA调度过程产生违约电量影响荷源协调系统可靠性的问题,首先分析了仅以调节上下限表征LA调节特性时,调节任务与LA调节特性之间不匹配将导致产生违约电量;继而提出了LA灵活度指标,以弥补调节上下限在表征LA调节特性方面的不足;建立了以消纳受阻风电电量最大、调度成本最小为目标的荷源调度模型,其中LA补偿价格根据灵活度确定;提出了考虑LA灵活度的荷源调度方法。最后以算例分析证明了本文所提方法可有效降低调度方案实施过程中的违约电量。
The default energy generated in the dispatch concerning LA may compromise the reliability of load-source coordination system.When there is the mismatch between the regulation task and characteristic of LA,default energy would happen.The index of LA flexibility is put forward as supplementary information of LAs' regulation characteristic.Based on this,a load-source coordination model is established to maximize the consumption of congested wind power and minimize the dispatching cost.And in the model,compensation cost of LA is determined by the flexibility.Then a load-source coordination method considering the flexibility of LA is proposed.Finally,case study verifies that the proposed method can effectively reduce the default energy during the implementation of the dispatching scheme.
The default energy generated in the dispatch concerning LA may compromise the reliability of load-source coordination system.When there is the mismatch between the regulation task and characteristic of LA,default energy would happen.The index of LA flexibility is put forward as supplementary information of LAs' regulation characteristic.Based on this,a load-source coordination model is established to maximize the consumption of congested wind power and minimize the dispatching cost.And in the model,compensation cost of LA is determined by the flexibility.Then a load-source coordination method considering the flexibility of LA is proposed.Finally,case study verifies that the proposed method can effectively reduce the default energy during the implementation of the dispatching scheme.
引文
[1]国家能源局.2018年上半年风电并网运行情况[R/OL].(2018-07-30).http://www.nea.gov.cn/2018-07/30/c_137357453.htm.
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[8]唐早,刘俊勇,刘友波,等.空调聚合商参与下的负荷控制与配电网重构[J].电力系统自动化,2018,42(2):42-49.TANG Zao,LIU Junyong,LIU Youbo,et al.Load control and distribution network reconfiguration with participation of air-conditioning load aggregators[J].Automation of Electric Power System,2018,42(2):42-49.
[9]孙毅,杨艳敏,许鹏,等.基于云模型的用户群负荷调控算法[J].电网技术,2017,41(8):2611-2617.SUN Yi,YANG Yanmin,XU Peng,et al.A user group load control algorithm based on cloud model[J].Power System Technology,2017,41(8):2611-2617.
[10]ZHANG J,ZHANG P,WU H,et al.Two-stage load-scheduling model for the incentive-based demand response of industrial users considering load aggregators[J].IET Generation,Transmission&Distribution,2018,12(14):3518-3526.
[11]王珂,刘建涛,姚建国,等.基于多代理技术的需求响应互动调度模型[J].电力系统自动化,2014,38(13):121-127.WANG Ke,LIU Jiantao,YAO Jianguo,et al.A multi-agent based interactive scheduling model considering demand response[J].Automation of Electric Power System,2014,38(13):121-127.
[12]LI Z,WANG S,ZHENG X,et al.Dynamic demand response using customer coupons considering multiple load aggregators to simultaneously achieve efficiency and fairness[J].IEEE Transactions on Smart Grid,2018,9(4):3112-3121.
[13]张鹏,李春燕,张谦.基于需求响应调度容量上报策略博弈的电网多代理系统调度模式[J].电工技术学报,2017,32(19):170-179.ZHANG Peng,LI Chunyan,ZHANG Qian.A power system dispatch model based on game-theoretic multi-agent system demand response scheduling capacity reporting[J].Transactions of China Electrotechnical Society,2017,32(19):170-179.
[14]卢锦玲,周松浩.计及控制方式的孤岛微网供电可靠性评估[J].现代电力,2017,34(1):23-29.LU Jinlin,ZHOU Songhao.Power supply reliability evaluation of islanded microgrid by considering control modes[J].Modern Electric Power,2017,34(1):23-29.
[15]张开宇,宋依群,严正.考虑用户违约可能的负荷聚合商储能配置策略[J].电力系统自动化,2015,39(17):127-133.ZHANG Kaiyu,SONG Yiqun,YAN Zheng.Energy storage capacity optimization for load aggregators considering probability of demand response resources’breach[J].Automation of Electric Power System,2015,39(17):127-133.
[16]王凯,褚晓东,张文.基于成本-价值解耦的源-荷备用协同优化[J].中国电机工程学报,2015,35(20):5188-5198.WANG Kai,CHU Xiaodong,ZHANG Wen.Cooperative optimization for supply/demand side reserve by decoupling cost and value of reserve[J].Proceeding of the CSEE,2015,35(20):5188-5198.
[2]郭鹏,文晶,朱丹丹,等.基于源-荷互动的大规模风电消纳协调控制策略[J].电工技术学报,2017,32(3):1-9.GUO Peng,WEN Jing,ZHU Dandan,et al.Research on coordination control strategy for large-scale wind power consumption based on source-load interactive[J].Transactions of China Electrotechnical Society,2017,32(3):1-9.
[3]刘文颖,文晶,谢昶,等.考虑风电消纳的电力系统源荷协调多目标优化方法[J].中国电机工程学报,2015,35(5):1079-1088.LIU Wenying,WEN Jing,XIE Chang,et al.Multiobjective optimal method considering wind power accommodation based on source-load coordination[J].Proceedings of the CSEE,2015,35(5):1079-1088.
[4]文晶,刘文颖,谢昶,等.计及风电消纳效益的电力系统源荷协调二层优化模型[J].电工技术学报,2015,30(8):247-256.WEN Jing,LIU Wenying,XIE Chang,et al.Source-Load coordination optimal model considering wind power consumptive benefits based on bi-level programming[J].Transactions of China Electrotechnical Society,2015,30(8):247-256.
[5]朱丹丹,刘文颖,蔡万通,等.风电消纳目标下基于电量与功率滚动优化的荷源控制方法[J].电力系统自动化,2018,42(5):80-85,119.ZHU Dandan,LIU Wenying,CAI Wantong,et al.Load-source coordinated dispatch method for promoting wind power accommodation based on rolling optimization of energy and power.[J].Automation of Electric Power System,2018,42(5):80-85,119.
[6]高赐威,李倩玉,李扬.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):1546-1555.GAO Ciwei,LI Qianyu,LI Yang.Bi-level optimal dispatch and control strategy for air-conditioning load based on direct load control[J].Proceedings of the CSEE,2014,34(10):1546-1555.
[7]刘伟佳,文福拴,薛禹胜,等.电动汽车参与电力系统优化调度的谈判策略[J].电力系统自动化,2015,39(17):192-200.LIU Weijia,WEN Fushuan,XUE Yusheng,et al.Negotiation strategies for participation of electric vehicles in power system optimal dispatching[J].Automation of Electric Power System,2015,39(17):192-200.
[8]唐早,刘俊勇,刘友波,等.空调聚合商参与下的负荷控制与配电网重构[J].电力系统自动化,2018,42(2):42-49.TANG Zao,LIU Junyong,LIU Youbo,et al.Load control and distribution network reconfiguration with participation of air-conditioning load aggregators[J].Automation of Electric Power System,2018,42(2):42-49.
[9]孙毅,杨艳敏,许鹏,等.基于云模型的用户群负荷调控算法[J].电网技术,2017,41(8):2611-2617.SUN Yi,YANG Yanmin,XU Peng,et al.A user group load control algorithm based on cloud model[J].Power System Technology,2017,41(8):2611-2617.
[10]ZHANG J,ZHANG P,WU H,et al.Two-stage load-scheduling model for the incentive-based demand response of industrial users considering load aggregators[J].IET Generation,Transmission&Distribution,2018,12(14):3518-3526.
[11]王珂,刘建涛,姚建国,等.基于多代理技术的需求响应互动调度模型[J].电力系统自动化,2014,38(13):121-127.WANG Ke,LIU Jiantao,YAO Jianguo,et al.A multi-agent based interactive scheduling model considering demand response[J].Automation of Electric Power System,2014,38(13):121-127.
[12]LI Z,WANG S,ZHENG X,et al.Dynamic demand response using customer coupons considering multiple load aggregators to simultaneously achieve efficiency and fairness[J].IEEE Transactions on Smart Grid,2018,9(4):3112-3121.
[13]张鹏,李春燕,张谦.基于需求响应调度容量上报策略博弈的电网多代理系统调度模式[J].电工技术学报,2017,32(19):170-179.ZHANG Peng,LI Chunyan,ZHANG Qian.A power system dispatch model based on game-theoretic multi-agent system demand response scheduling capacity reporting[J].Transactions of China Electrotechnical Society,2017,32(19):170-179.
[14]卢锦玲,周松浩.计及控制方式的孤岛微网供电可靠性评估[J].现代电力,2017,34(1):23-29.LU Jinlin,ZHOU Songhao.Power supply reliability evaluation of islanded microgrid by considering control modes[J].Modern Electric Power,2017,34(1):23-29.
[15]张开宇,宋依群,严正.考虑用户违约可能的负荷聚合商储能配置策略[J].电力系统自动化,2015,39(17):127-133.ZHANG Kaiyu,SONG Yiqun,YAN Zheng.Energy storage capacity optimization for load aggregators considering probability of demand response resources’breach[J].Automation of Electric Power System,2015,39(17):127-133.
[16]王凯,褚晓东,张文.基于成本-价值解耦的源-荷备用协同优化[J].中国电机工程学报,2015,35(20):5188-5198.WANG Kai,CHU Xiaodong,ZHANG Wen.Cooperative optimization for supply/demand side reserve by decoupling cost and value of reserve[J].Proceeding of the CSEE,2015,35(20):5188-5198.
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