考虑发电集团利益主体协调的风电消纳调度策略
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摘要
大规模风电并网的反调峰特性造成系统在负荷低谷时段弃风问题严重,在北方供暖期尤为突出。增强热电联产机组运行的灵活性,提高发电集团参与调峰的积极性,是解决这一问题的方法。提出了考虑发电集团主体协调的两阶段调度策略,将每个发电集团作为独立的利益主体,各自以集团发电煤耗量最小为目标进行调度。针对弃风问题,通过增加储热装置提高发电集团的调峰能力,引入调峰补偿实现发电集团内部自调节、集团间辅助协调的风电消纳策略,减少对其他发电集团出力计划的影响。通过多种调度模式算例对比,所提调度策略能够实现风电消纳功率最大化,保证集团利益,调动发电集团调峰积极性。
The anti-peaking characteristic of large-scale wind power has caused serious problem of wind curtailment during load valley period,which is particularly prominent during the heating period in the northern area of China.It is an important solution to improve the operation flexibility of combined heat and power units and the enthusiasm of power generation groups participating in peak load regulation.A two-stage dispatch strategy is presented by taking into account the coordination of different power generation groups.Each power generation group,as an independent stakeholder,is dispatched with its goal of the minimum coal consumption.Aiming at the problems of wind curtailment,heat storage devices are set to increase the capacities of power generation group participating in the peak load regulation.The compensation is introduced to realize the wind power accommodation strategy with characteristics of inner self-scheduling of power generation groups and auxiliary coordination among power generation groups.And the impacts on the output plans of the groups can be minimized.The results of a variety of dispatch modes show that the proposed dispatch strategy can maximize the wind power accommodation,ensure the benefits of power generation groups and improve the enthusiasm of power generation group to participate in the peak load regulation.
The anti-peaking characteristic of large-scale wind power has caused serious problem of wind curtailment during load valley period,which is particularly prominent during the heating period in the northern area of China.It is an important solution to improve the operation flexibility of combined heat and power units and the enthusiasm of power generation groups participating in peak load regulation.A two-stage dispatch strategy is presented by taking into account the coordination of different power generation groups.Each power generation group,as an independent stakeholder,is dispatched with its goal of the minimum coal consumption.Aiming at the problems of wind curtailment,heat storage devices are set to increase the capacities of power generation group participating in the peak load regulation.The compensation is introduced to realize the wind power accommodation strategy with characteristics of inner self-scheduling of power generation groups and auxiliary coordination among power generation groups.And the impacts on the output plans of the groups can be minimized.The results of a variety of dispatch modes show that the proposed dispatch strategy can maximize the wind power accommodation,ensure the benefits of power generation groups and improve the enthusiasm of power generation group to participate in the peak load regulation.
引文
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[21]吕泉,李玲,朱全胜,等.三种弃风消纳方案的节煤效果与国民经济性比较[J].电力系统自动化,2015,39(7):75-83.DOI:10.7500/AEPS20140125001.LYU Quan,LI Ling,ZHU Quansheng,et al.Comparison of coal-saving effect and national economic indices of three feasible curtailed wind power accommodating strategies[J].Automation of Electric Power Systems,2015,39(7):75-83.DOI:10.7500/AEPS20140125001.
[22]北极星火力发电网.聚焦|对决!2017年新五大发电集团成绩单出炉,关键指标大比拼![EB/OL].[2018-03-15].http://www.sohu.com/a/222591173_739772.Polaris Thermal Power Web.Focus|battle!The new five major power generation group’s report card of 2017came out,where the key indicators were compared![EB/OL].[2018-03-15].http://www.sohu.com/a/222591173_739772.
[23]陈天佑.基于储热的热电厂消纳风电方案研究[D].大连:大连理工大学,2014.CHEN Tianyou.Research on accommodating wind power by CHP based on heat accumulator[D].Dalian:Dalian University of Technology,2014.
[24]ZELJKO B,DAMIR K.Improvement of the cogeneration plant economy by using heat accumulator[J].Energy,2006,31(13):2285-2292.
[25]MONTEIRO C,BESSA R,MIRANDA V,et al.Wind power forecasting:state-of-the-art 2009[R].Illinois,USA:Argonne National Laboratory,2009.
[26]世纪新能源网.东北电力辅助服务市场运营规则(试行)[EB/OL].[2018-01-29].http://www.ne21.com/news/show-84921.html.Century New Energy Web.Operation rules of northeast power auxiliary service market(trial)[EB/OL].[2018-01-29].http://www.ne21.com/news/show-84921.htm.
[27]张孝顺,郑理民,余涛.基于多步回溯Q(λ)学习的电网多目标最优碳流算法[J].电力系统自动化,2014,38(17):118-123.DOI:10.7500/AEPS20140513010.ZHANG Xiaoshun,ZHENG Limin,YU Tao.Multi-objective optimal carbon emission flow calculation of power grid based on multi-step Q(λ)learning algorithm[J].Automation of Electric Power Systems,2014,38(17):118-123.DOI:10.7500/AEPS20140513010.
[28]LI X.An efficient approach to a class of non-smooth optimization problems[J].Science in China(Series A),1994,37(3):323-330.
[2]RUI L I,CHEN L,YUAN T,et al.Optimal dispatch of zerocarbon-emission micro Energy Internet integrated with nonsupplementary fired compressed air energy storage system[J].Journal of Modern Power Systems and Clean Energy,2016,4(4):566-580.
[3]邓佳乐,胡林献,李佳佳.采用二级热网电锅炉调峰的消纳弃风机理及经济性分析[J].电力系统自动化,2016,40(18):41-47.DOI:10.7500/AEPS20151001001.DENG Jiale,HU Linxian,LI Jiajia.Analysis on mechanism of curtailed wind power accommodation and its economic operation based on electric boiler for peak-load regulation at secondary heat supply network[J].Automation of Electric Power Systems,2016,40(18):41-47.DOI:10.7500/AEPS20151001001.
[4]国家能源局.2017年前三季度风电并网运行情况[EB/OL].[2018-01-29].http://www.nea.gov.cn/2017-10/31/c_136717648.htm.National Energy Administration.Operation situation of wind power connected to grid in the first three quarters of 2017[EB/OL].[2018-01-29].http://www.nea.gov.cn/2017-10/31/c_136717648.htm.
[5]电网头条.舒印彪:根本上解决清洁能源“三弃”问题[EB/OL].[2018-03-15].http://mp.weixin.qq.com/s/l8STAQi0JzI7KLgEjuFncQ.Power Grid Headline.SHU Yinbiao:solve the“threecurtailment”problem of clean energy fundamentally[EB/OL].[2018-03-15].http://mp.weixin.qq.com/s/l8STAQi0JzI7KLgEjuFncQ.
[6]孙荣富,张涛,梁吉.电网接纳风电能力的评估及应用[J].电力系统自动化,2011,35(4):70-76.SUN Rongfu,ZHANG Tao,LIANG Ji.Evaluation and application of wind power integration capacity in power grid[J].Automation of Electric Power Systems,2011,35(4):70-76.
[7]KABOURIS J,KANELLOS F D.Impacts of large-scale wind penetration on designing and operation of electric power systems[J].IEEE Transactions on Sustainable Energy,2010,1(2):107-114.
[8]黎灿兵,尚金成,李响,等.集中调度与发电企业自主调度相协调的节能调度体系[J].中国电机工程学报,2011,31(7):112-118.LI Canbing,SHANG Jincheng,LI Xiang,et al.Novel energysaving generation dispatching system based on the coordination of centralized dispatching and autonomy-dispatching of generation companies[J].Proceedings of the CSEE,2011,31(7):112-118.
[9]北京中电经纬咨询有限公司.世界主要国家电力市场化改革与发展报告(欧洲篇)[M].北京:中国水利水电出版社,2016.China Power Gateway Energy Information Technology Ltd.Report on electricity marketization reform and development of major countries in the world(Europe)[M].Beijing:China Water&Power Press,2016.
[10]VARKANI A K,DARAEEPOUR A,MONSEF H.A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets[J].Applied Energy,2011,88(12):5002-5012.
[11]POUSINHO H M I,SILVA H,MENDES V M F,et al.Selfscheduling for energy and spinning reserve of wind/CSP plants by a MILP approach[J].Energy,2014,78:524-534.
[12]LIU D,ZHANG G,HUANG B,et al.Optimum electric boiler capacity configuration in a regional power grid for a wind power accommodation scenario[J].Energies,2016,9(3):144.
[13]龙虹毓,何国军,徐瑞林,等.计及分布式电源热泵的热电联产协调优化调度与能效分析[J].电力系统自动化,2013,37(14):38-42.LONG Hongyu,HE Guojun,XU Ruilin,et al.Cogeneration coordination optimal dispatch and energy efficiency analysis containing distributed electric heat pumps[J].Automation of Electric Power Systems,2013,37(14):38-42.
[14]NIELSEN M G,MORALES J M,ZUGNO M,et al.Economic valuation of heat pumps and electric boilers in the Danish energy system[J].Applied Energy,2016,167:189-200.
[15]吕泉,陈天佑,王海霞,等.含储热的电力系统电热综合调度模型[J].电力自动化设备,2014,34(5):79-85.LQuan,CHEN Tianyou,WANG Haixia,et al.Combined heat and power dispatch model for power system with heat accumulator[J].Electric Power Automation Equipment,2014,34(5):79-85.
[16]CHEN X,KANG C,O’MALLEY M,et al.Increasing the flexibility of combined heat and power for wind power integration in china:modeling and implications[J].IEEE Transactions on Power Systems,2015,30(4):1848-1857.
[17]于炎娟,陈红坤,姜欣,等.促进风电消纳的蓄热罐运行策略[J].电力系统自动化,2017,41(7):37-43.DOI:10.7500/AEPS20160510006.YU Yanjuan,CHEN Hongkun,JIANG Xin,et al.Operation strategy for heat storage tank to improve wind power accommodation[J].Automation of Electric Power Systems,2017,41(7):37-43.DOI:10.7500/AEPS20160510006.
[18]顾泽鹏,康重庆,陈新宇,等.考虑热网约束的电热能源集成系统运行优化及其风电消纳效益分析[J].中国电机工程学报,2015,35(14):3596-3604.GU Zepeng,KANG Chongqing,CHEN Xinyu,et al.Operation optimization of integrated power and heat energy systems and the benefit on wind power accommodation considering heating network constraints[J].Proceedings of the CSEE,2015,35(14):3596-3604.
[19]LI Z,WU W,SHAHIDEHPOUR M,et al.Combined heat and power dispatch considering pipeline energy storage of district heating network[J].IEEE Transactions on Sustainable Energy,2015,7(1):12-22.
[20]LI P,WANG H,LV Q,et al.Combined heat and power dispatch considering heat storage of both buildings and pipelines in district heating system for wind power integration[J].Energies,2017,10(7):893.
[21]吕泉,李玲,朱全胜,等.三种弃风消纳方案的节煤效果与国民经济性比较[J].电力系统自动化,2015,39(7):75-83.DOI:10.7500/AEPS20140125001.LYU Quan,LI Ling,ZHU Quansheng,et al.Comparison of coal-saving effect and national economic indices of three feasible curtailed wind power accommodating strategies[J].Automation of Electric Power Systems,2015,39(7):75-83.DOI:10.7500/AEPS20140125001.
[22]北极星火力发电网.聚焦|对决!2017年新五大发电集团成绩单出炉,关键指标大比拼![EB/OL].[2018-03-15].http://www.sohu.com/a/222591173_739772.Polaris Thermal Power Web.Focus|battle!The new five major power generation group’s report card of 2017came out,where the key indicators were compared![EB/OL].[2018-03-15].http://www.sohu.com/a/222591173_739772.
[23]陈天佑.基于储热的热电厂消纳风电方案研究[D].大连:大连理工大学,2014.CHEN Tianyou.Research on accommodating wind power by CHP based on heat accumulator[D].Dalian:Dalian University of Technology,2014.
[24]ZELJKO B,DAMIR K.Improvement of the cogeneration plant economy by using heat accumulator[J].Energy,2006,31(13):2285-2292.
[25]MONTEIRO C,BESSA R,MIRANDA V,et al.Wind power forecasting:state-of-the-art 2009[R].Illinois,USA:Argonne National Laboratory,2009.
[26]世纪新能源网.东北电力辅助服务市场运营规则(试行)[EB/OL].[2018-01-29].http://www.ne21.com/news/show-84921.html.Century New Energy Web.Operation rules of northeast power auxiliary service market(trial)[EB/OL].[2018-01-29].http://www.ne21.com/news/show-84921.htm.
[27]张孝顺,郑理民,余涛.基于多步回溯Q(λ)学习的电网多目标最优碳流算法[J].电力系统自动化,2014,38(17):118-123.DOI:10.7500/AEPS20140513010.ZHANG Xiaoshun,ZHENG Limin,YU Tao.Multi-objective optimal carbon emission flow calculation of power grid based on multi-step Q(λ)learning algorithm[J].Automation of Electric Power Systems,2014,38(17):118-123.DOI:10.7500/AEPS20140513010.
[28]LI X.An efficient approach to a class of non-smooth optimization problems[J].Science in China(Series A),1994,37(3):323-330.