基于用户侧可调节资源的售电公司实时市场偏差电量管控策略
|
摘要
实时偏差电量结算机制是电力市场交易体系的重要组成部分。售电公司实时市场的偏差电量在该机制下会给其带来一定的收益损失风险。文章针对未来广东省电力现货市场即将推出的用户侧允许申报偏差外收益处理机制,引入用户侧可调节资源,提出了降低售电公司实时市场偏差电量的管控策略,建立了不同风险接受程度下售电公司实时偏差电量管控策略约束条件,在极限学习机预测与场景缩减的基础上进行了算例仿真。通过敏感性分析,研究了预测精度、用户侧资源特性以及成本对售电公司实时偏差电量管控的影响。
Settlement mechanism of real-time deviation power is an important part of electricity market system. The deviation power of electricity retailers in real-time market will bring certain risk of loss of income under this mechanism. In viewof upcoming deviation power settlement mechanism in spot market of Guangdong Province,this paper proposes a control strategy to reduce real-time market deviation of electricity retailers. The constraints of power control strategy of electricity retailers under different risk acceptance levels are established. Case study is carried out on the basis of the prediction of extreme learning machine and the reduction of scene. Through sensitivity analysis,effects of prediction accuracy,user-side resource characteristics and cost on the real-time deviation of power control of power sales companies are studied.
Settlement mechanism of real-time deviation power is an important part of electricity market system. The deviation power of electricity retailers in real-time market will bring certain risk of loss of income under this mechanism. In viewof upcoming deviation power settlement mechanism in spot market of Guangdong Province,this paper proposes a control strategy to reduce real-time market deviation of electricity retailers. The constraints of power control strategy of electricity retailers under different risk acceptance levels are established. Case study is carried out on the basis of the prediction of extreme learning machine and the reduction of scene. Through sensitivity analysis,effects of prediction accuracy,user-side resource characteristics and cost on the real-time deviation of power control of power sales companies are studied.
引文
[1]邹鹏,陈启鑫,夏清,等.国外电力现货市场建设的逻辑分析及对中国的启示与建议[J].电力系统自动化,2014,38(13):18-27.ZOU Peng,CHEN Qixin,XIA Qing,et al.Logic analysis of electricity spot market design in foreign countries and enlightenment and policy suggestions for China[J].Automation of Electric Pow er Systems,2014,38(13):18-27.
[2]BELHOMME R,TROTIGNON M,CANTENOT J,et al.Overview of the electricity system market and service layers in France,UK and Germany[C]//13th International Conference on the European Energy M arket.Porto.Portugal:IEEE,2016:1-5.
[3]YANG H,ZHANG S,QIU J,et al.Cvar-constrained optimal bidding of electric vehicle aggregators in day-ahead and real-time markets[J].IEEE Transactions on Industrial Informatics,2017,13(5):2555-2565.
[4]文安,黄维芳,刘年.英国电力市场的电量交易平衡机制[J].南方电网技术,2014,8(5):1-5.WEN An,HUANG Weifang,LIU Nian.The balancing mechanism of the UK electricity trading market[J].Southern Pow er System Technology,2014,8(5):1-5.
[5]California ISO.BPM_for_Market Instruments_V48[EB/OL].(2018-08-30)[2019-01-04].https://bpmcm.caiso.com/Pages/BPM Details.aspx?BPM=M arket%20Instruments.
[6]PJM.PJM manual 11:Energy&ancillary services market operations[EB/OL].(2018-07-26)[2019-01-04].https://www.pjm.com/-/media/documents/manuals/m11.ashx.
[7]王海冰,戚永志,王承民,等.考虑柔性负荷的两阶段随机优化调度模型[J].电网技术,2018,42(11):3669-3675.WANG Haibing,QI Yongzhi,WANG Chengmin,et al.Tw o-stage stochastic optimal scheduling model considering flexible load[J].Pow er System Technology,2018,42(11):3669-3675.
[8]黄伟,葛良军,华亮亮,等.基于概率潮流的主动配电网日前-实时两级优化调度[J].电力系统自动化,2018,42(12):51-57,105.HUANG Wei,GE Liangjun,HUA Liangliang,et al.Day-ahead and real-time optimal scheduling for active distribution netw ork based on probabilistic pow er flow[J].Automation of Electric Pow er Systems,2018,42(12):51-57,105.
[9]王林炎,张粒子,张凡,等.售电公司购售电业务决策与风险评估[J].电力系统自动化,2018,42(1):47-54,143.WANG Linyan,ZHANG Lizi,ZHANG Fan,et al.Decisionmaking and risk assessment of purchasing and selling business for electricity retailers[J].Automation of Electric Pow er Systems,2018,42(1):47-54,143.
[10]任艺,周明,李庚银.考虑用户需求响应的售电公司购售电决策双层模型[J].电力系统自动化,2017,41(14):30-36.REN Yi,ZHOU M ing,LI Gengyin.Bi-level model of electricity procurement and sale strategies for electricity retailers considering user's demand response[J].Automation of Electric Pow er Systems,2017,41(14):30-36.
[11]KETTUNEN J,SALO A,BUNN D W.Optimization of electricity retailer's contract portfolio subject to risk preferences[J].IEEETransactions on Pow er Systems,2010,25(1):117-128.
[12]杨萌,艾欣,唐亮,等.计及风险规避的售电公司平衡市场优化交易策略研究[J].电网技术,2016,40(11):3300-3309.YANG M eng,AI Xin,TANG Liang,et al.Optimal trading strategy in balancing market for electricity retailer considering risk aversion[J].Pow er System Technology,2016,40(11):3300-3309.
[13]张金良.电力市场环境下的短期电价混合预测模型研究[D].北京:华北电力大学,2011.ZHANG Jinliang.Research on hybrid forecasting model of short term electricity price in electricity market environment[D].Beijing:North China Electric Pow er University,2011.
[14]李晶.基于数据挖掘的电力负荷特性与用户分类研究[D].北京:北京邮电大学,2016.LI Jing.Research of pow er load characteristic and user classification based on data mining[D].Beijing:Beijing University of Posts and Telecommunications,2016.
[15]国家能源局南方监管局.广东电力市场运营基本规则(征求意见稿)[EB/OL].(2018-08-31)[2019-01-04].http://nfj.nea.gov.cn/adminContent/initView Content.do?pk=402881e56579be6301658d7123c2001a.
[16]KAZEMPOUR J,HOBBS B F.Value of flexible resources,virtual bidding,and self-scheduling in tw o-settlement electricity markets w ith w ind generation-part I:Principles and competitive model[J].IEEE Transactions on Pow er Systems,2018,33(1):749-759.
[17]国家能源局南方监管局.广东现货电能量市场交易实施细则(征求意见稿)[EB/OL].(2018-08-31)[2019-01-04].http://nfj.nea.gov.cn/adminContent/initView Content.do?pk=402881e56579be6301658d7123c2001a.
[18]薛金花,叶季蕾,陶琼,等.采用全寿命周期成本模型的用户侧电池储能经济可行性研究[J].电网技术,2016,40(8):2471-2476.XUE Jinhua,YE Jilei,TAO Qiong,et al.Economic feasibility of user-side battery energy storage based on w hole-life-cycle cost model[J].Pow er System Technology,2016,40(8):2471-2476.
[19]马溪原,周长城,刘育权,等.工业园区用户侧电池储能系统运营模式及其经济性分析[J].南方电网技术,2018,12(3):44-51.M A Xiyuan,ZHOU Changcheng,LIU Yuquan,et al.Business mode and economic analysis of user-side battery energy storage system in industrial parks[J].Southern Pow er System Technology,2018,12(3):44-51.
[20]艾欣,周树鹏,赵阅群.基于场景分析的含可中断负荷的优化调度模型研究[J].中国电机工程学报,2014,34(S1):25-31.AI Xin,ZHOU Shupeng,ZHAO Yuequn.Research on optimal dispatch model considering interruptible loads based on scenario analysis[J].Proceedings of the CSEE,2014,34(S1):25-31.
[2]BELHOMME R,TROTIGNON M,CANTENOT J,et al.Overview of the electricity system market and service layers in France,UK and Germany[C]//13th International Conference on the European Energy M arket.Porto.Portugal:IEEE,2016:1-5.
[3]YANG H,ZHANG S,QIU J,et al.Cvar-constrained optimal bidding of electric vehicle aggregators in day-ahead and real-time markets[J].IEEE Transactions on Industrial Informatics,2017,13(5):2555-2565.
[4]文安,黄维芳,刘年.英国电力市场的电量交易平衡机制[J].南方电网技术,2014,8(5):1-5.WEN An,HUANG Weifang,LIU Nian.The balancing mechanism of the UK electricity trading market[J].Southern Pow er System Technology,2014,8(5):1-5.
[5]California ISO.BPM_for_Market Instruments_V48[EB/OL].(2018-08-30)[2019-01-04].https://bpmcm.caiso.com/Pages/BPM Details.aspx?BPM=M arket%20Instruments.
[6]PJM.PJM manual 11:Energy&ancillary services market operations[EB/OL].(2018-07-26)[2019-01-04].https://www.pjm.com/-/media/documents/manuals/m11.ashx.
[7]王海冰,戚永志,王承民,等.考虑柔性负荷的两阶段随机优化调度模型[J].电网技术,2018,42(11):3669-3675.WANG Haibing,QI Yongzhi,WANG Chengmin,et al.Tw o-stage stochastic optimal scheduling model considering flexible load[J].Pow er System Technology,2018,42(11):3669-3675.
[8]黄伟,葛良军,华亮亮,等.基于概率潮流的主动配电网日前-实时两级优化调度[J].电力系统自动化,2018,42(12):51-57,105.HUANG Wei,GE Liangjun,HUA Liangliang,et al.Day-ahead and real-time optimal scheduling for active distribution netw ork based on probabilistic pow er flow[J].Automation of Electric Pow er Systems,2018,42(12):51-57,105.
[9]王林炎,张粒子,张凡,等.售电公司购售电业务决策与风险评估[J].电力系统自动化,2018,42(1):47-54,143.WANG Linyan,ZHANG Lizi,ZHANG Fan,et al.Decisionmaking and risk assessment of purchasing and selling business for electricity retailers[J].Automation of Electric Pow er Systems,2018,42(1):47-54,143.
[10]任艺,周明,李庚银.考虑用户需求响应的售电公司购售电决策双层模型[J].电力系统自动化,2017,41(14):30-36.REN Yi,ZHOU M ing,LI Gengyin.Bi-level model of electricity procurement and sale strategies for electricity retailers considering user's demand response[J].Automation of Electric Pow er Systems,2017,41(14):30-36.
[11]KETTUNEN J,SALO A,BUNN D W.Optimization of electricity retailer's contract portfolio subject to risk preferences[J].IEEETransactions on Pow er Systems,2010,25(1):117-128.
[12]杨萌,艾欣,唐亮,等.计及风险规避的售电公司平衡市场优化交易策略研究[J].电网技术,2016,40(11):3300-3309.YANG M eng,AI Xin,TANG Liang,et al.Optimal trading strategy in balancing market for electricity retailer considering risk aversion[J].Pow er System Technology,2016,40(11):3300-3309.
[13]张金良.电力市场环境下的短期电价混合预测模型研究[D].北京:华北电力大学,2011.ZHANG Jinliang.Research on hybrid forecasting model of short term electricity price in electricity market environment[D].Beijing:North China Electric Pow er University,2011.
[14]李晶.基于数据挖掘的电力负荷特性与用户分类研究[D].北京:北京邮电大学,2016.LI Jing.Research of pow er load characteristic and user classification based on data mining[D].Beijing:Beijing University of Posts and Telecommunications,2016.
[15]国家能源局南方监管局.广东电力市场运营基本规则(征求意见稿)[EB/OL].(2018-08-31)[2019-01-04].http://nfj.nea.gov.cn/adminContent/initView Content.do?pk=402881e56579be6301658d7123c2001a.
[16]KAZEMPOUR J,HOBBS B F.Value of flexible resources,virtual bidding,and self-scheduling in tw o-settlement electricity markets w ith w ind generation-part I:Principles and competitive model[J].IEEE Transactions on Pow er Systems,2018,33(1):749-759.
[17]国家能源局南方监管局.广东现货电能量市场交易实施细则(征求意见稿)[EB/OL].(2018-08-31)[2019-01-04].http://nfj.nea.gov.cn/adminContent/initView Content.do?pk=402881e56579be6301658d7123c2001a.
[18]薛金花,叶季蕾,陶琼,等.采用全寿命周期成本模型的用户侧电池储能经济可行性研究[J].电网技术,2016,40(8):2471-2476.XUE Jinhua,YE Jilei,TAO Qiong,et al.Economic feasibility of user-side battery energy storage based on w hole-life-cycle cost model[J].Pow er System Technology,2016,40(8):2471-2476.
[19]马溪原,周长城,刘育权,等.工业园区用户侧电池储能系统运营模式及其经济性分析[J].南方电网技术,2018,12(3):44-51.M A Xiyuan,ZHOU Changcheng,LIU Yuquan,et al.Business mode and economic analysis of user-side battery energy storage system in industrial parks[J].Southern Pow er System Technology,2018,12(3):44-51.
[20]艾欣,周树鹏,赵阅群.基于场景分析的含可中断负荷的优化调度模型研究[J].中国电机工程学报,2014,34(S1):25-31.AI Xin,ZHOU Shupeng,ZHAO Yuequn.Research on optimal dispatch model considering interruptible loads based on scenario analysis[J].Proceedings of the CSEE,2014,34(S1):25-31.