跨区域省间可再生能源增量现货市场设计与实践
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摘要
我国可再生能源分布与负荷存在不匹配的现象,可再生能源装机容量与市场规模在地域上的逆向分布造成弃水、弃风、弃光等矛盾突出。目前我国已实现全国电网互联,为大范围内消纳可再生能源发电提供了物理条件。为充分利用全网资源,并考虑到可再生能源出力只能在短时间尺度上实现较为准确的预测,文章设计了跨区域省间可再生能源增量现货市场的交易组织体系、交易模型、交易规则和技术支持系统,采用经济杠杆和市场手段来促进受端省份消纳可再生能源的积极性,以提高可再生能源消纳能力。在此基础上,国家电力调度控制中心开展了模拟运行,实践结果表明,跨区域省间可再生能源现货市场在促进可再生能源消纳等方面取得良好的效果。
The phenomenon that renewable energy distribution does not match load exists in China. The reverse geographical distribution between installed capacity of renewable energy and market size results in problems such as abandoning of water,wind,and solar power. National interconnection of power grid has been achieved in China,providing physical conditions for renewable energy consumption in a wide area. Considering the output of renewable energy can only be accurately predicted in a short time scale,this paper designs a trading model about cross-regional incremental spot market for renewable energy to make full use of network resources. In addition,rules are designed and technical support systems are built,hoping to use the economic leverage and market means to further explore the potential of consumption abilities in energy-importing provinces. On the basis of above model,national power dispatching center has preceded simulation operation. Results show that the spot market has achieved good results in promoting the accommodation of renewable energy.
The phenomenon that renewable energy distribution does not match load exists in China. The reverse geographical distribution between installed capacity of renewable energy and market size results in problems such as abandoning of water,wind,and solar power. National interconnection of power grid has been achieved in China,providing physical conditions for renewable energy consumption in a wide area. Considering the output of renewable energy can only be accurately predicted in a short time scale,this paper designs a trading model about cross-regional incremental spot market for renewable energy to make full use of network resources. In addition,rules are designed and technical support systems are built,hoping to use the economic leverage and market means to further explore the potential of consumption abilities in energy-importing provinces. On the basis of above model,national power dispatching center has preceded simulation operation. Results show that the spot market has achieved good results in promoting the accommodation of renewable energy.
引文
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[18]李丰,张粒子.大规模风电跨省消纳与交易机制的研究[J].电力自动化设备,2013,33(8):119-124.LI Feng, ZHANG Lizi. Accommodation and transaction mechanism of transprovincial large-scale w ind pow er[J]. Electric Pow er Automation Equipment,2013,33(8):119-124.
[19]张粒子,王睿,金允剑,等.基于跨省发电权交易的“疆电外送”交易模式研究[J].电力系统保护与控制,2012,40(5):69-79.ZHANG Lizi, WANG Rui, JIN Yunjian, et al. Study of transaction modes of Xinjiang electricity transmission based on trans-provincial generation right exchange theory[J]. Pow er System Protection and Control,2012,40(5):69-79.
[20]邹斌,赵妍,李晓刚,等.跨省跨区清洁能源消纳补偿的市场机制研究[J].电网技术,2016,40(2):595-601.ZOU Bin,ZHAO Yan,LI Xiaogang,et al. M arket mechanism research on trans-provincial and trans-regional clean energy consumption and compensation[J]. Pow er System Technology,2016,40(2):595-601.
[21] LORUBIO G, SCHLOSSER P. Euro mix:Current european energy developments and policy alternatives for 2030 and beyond[J]. IEEE Power and Energy Magazine,2014,12(2):65-74.
[22] CHIUT C,SHIH Y Y,PANG A C,et al. Optimized day-ahead pricing w ith renew able energy demand-side management for smart grids[J]. IEEE Internet of Things Journal,2017,4(2):374-383.
[23]刘瑞丰,尹莉,张浩,等.国际典型电力市场风能交易规则研究[J].华东电力,2012,40(1):10-12.LIU Ruifeng,YIN Li,ZHANG Hao,et al,Wind pow er trading rules in typical international electricity markets[J]. East China Electric Pow er,2012,40(1):10-12.
[2]刘振亚.中国电力与能源[M].北京:中国电力出版社,2012:179-193.
[3] AKASIADIS C, PANAGIDI K, PANAGIOTOU N, et al.Incentives for rescheduling residential electricity consumption to promote renew able energy usage[C]//SAI Intelligent Systems Conference. London:IEEE,2015:328-337.
[4] LI Q,SU Y,NIE W,et al. Robust unit commitment with high penetration of renew able energy based on demand response and pow er consumption contract of electrical vehicles[C]//International Symposium on Electrical Engineering. Hongkong:IEEE,2017:1-6.
[5] TOBARU S,CONTEH F,SENJYU T. Novel 100%renewable energy pow er system considering real-time pricing[C]//2017 IEEE3rd International Future Energy Electronics Conference and ECCE Asia. Kaohsiung:IEEE,2017:1047-1052.
[6]李明,杨烈銮,王维洲,等.针对甘肃电网的高载能企业参与可再生能源消纳“荷-网-源”协调控制[J].中国电力,2015,48(12):115-121.LI M ing,YANG Lieluan,WANG Weizhou,et al. Study on"loadgrid-source"coordination w ith participation of gansu grid-based energy-intensive enterprises to facilitate renew able energy accommodation[J]. Electric Pow er,2015,48(12):115-121.
[7]薛松,屠俊明,杨素,等.我国需求侧资源促进大规模间歇可再生能源并网消纳模式[J].技术经济与管理研究,2015(7):82-86.XUE Song,TU Junming,YANG Su,et al. Demand side resources promoting large-scale intermittent renew able energy integration mode in China[J]. Technoeconomics&M anagement Research,2015(7):82-86.
[8]左坤雨,刘友波,向月,等.基于信息互动的分布式可再生能源多代理交易竞价模型[J].电网技术,2017,41(8):2477-2484.ZUO Kunyu, LIU Youbo, XIANG Yue, et al. M ulti-agent transaction bidding model for distributed renew able energy based on information interaction[J]. Pow er System Technology,2017,41(8):2477-2484.
[9] BNTEW,NIELEN S,VALITOV N,et al. Price elasticity of demand in the EPEX spot market for electricity:new empirical evidence[J]. Economics Letters,2015,135:5-8.
[10]曾鸣,贾卓.考虑可再生能源的电力双边合约交易动态规划方法[J].电力系统自动化,2011,35(4):29-34.ZENG M ing, JIA Zhuo. Adynamic programming method for electricity bilateral contracts trading considering renew able energy generation[J]. Automation of Electric Pow er Systems,2011,35(4):29-34.
[11]刘永奇,张弘鹏,李群,等.东北电网电力调峰辅助服务市场设计与实践[J].电力系统自动化,2017,41(10):148-154.LIU Yongqi, ZHANG Hongpeng, LI Qun, et al, Design and practice of peak regulation ancillary service market for northeast China pow er grid[J]. Automation of Electric Pow er Systems,2017,41(10):148-154.
[12]杨益晟,张健,冯天天.我国核电机组调峰辅助服务经济补偿机制研究[J].电网技术,2017,41(7):2131-2137.YANG Yisheng, ZHANG Jian, FENG Tiantian. Study on compensation mechanism for peak-regulating ancillary service of nuclear units[J]. Pow er System Technology,2017,41(7):2131-2137.
[13] HONG L,LI G,ZHOU M,et al. Research on auxiliary services compensation mechanism w ith w ind pow er into grid[C]//International Conference on Electric Utility Deregulation and Restructuring and Pow er Technologies(DRPT). Weihai:IEEE,2011:626-630.
[14]张森林.区域电力市场辅助服务补偿机制实用化研究[J].水电能源科学,2008,26(3):193-197.ZHANG Senlin. Practical research on compensation mechanism of ancillary service in regional electricity market[J]. Water Resources and Pow er,2008,26(3):193-197.
[15]蔡秋娜.辅助服务管理机制与辅助服务市场竞价策略研究[D].广州:华南理工大学,2012.CAI Qiuna. Investigations on managements of ancillary services and bidding strategies in ancillary service markets[D]. Guangzhou:South China University of Technology,2012.
[16]靳丹,丁坤,何世恩.丹麦风电调峰调频机制探讨及对中国的启示[J].电力科技与环保,2011,27(4):50-53.JIN Dan, DING Kun, HE Shien. Discussion on active pow er regulation mechanism of w ind pow er generation in Denmark and its enlightment to China[J]. Electric Pow er Environmental Protection,2011,27(4):50-53.
[17]静铁岩,吕泉,王海霞,等.风电参与的非常规调峰服务市场交易理论[J].中国电力,2011,44(10):29-32.JING Tieyan,LQuan,WANG Haixia,et al. Trading theory of unconventional peak load regulation service market w ith w ind pow er farm participation[J]. Electric Pow er,2011,44(10):29-32.
[18]李丰,张粒子.大规模风电跨省消纳与交易机制的研究[J].电力自动化设备,2013,33(8):119-124.LI Feng, ZHANG Lizi. Accommodation and transaction mechanism of transprovincial large-scale w ind pow er[J]. Electric Pow er Automation Equipment,2013,33(8):119-124.
[19]张粒子,王睿,金允剑,等.基于跨省发电权交易的“疆电外送”交易模式研究[J].电力系统保护与控制,2012,40(5):69-79.ZHANG Lizi, WANG Rui, JIN Yunjian, et al. Study of transaction modes of Xinjiang electricity transmission based on trans-provincial generation right exchange theory[J]. Pow er System Protection and Control,2012,40(5):69-79.
[20]邹斌,赵妍,李晓刚,等.跨省跨区清洁能源消纳补偿的市场机制研究[J].电网技术,2016,40(2):595-601.ZOU Bin,ZHAO Yan,LI Xiaogang,et al. M arket mechanism research on trans-provincial and trans-regional clean energy consumption and compensation[J]. Pow er System Technology,2016,40(2):595-601.
[21] LORUBIO G, SCHLOSSER P. Euro mix:Current european energy developments and policy alternatives for 2030 and beyond[J]. IEEE Power and Energy Magazine,2014,12(2):65-74.
[22] CHIUT C,SHIH Y Y,PANG A C,et al. Optimized day-ahead pricing w ith renew able energy demand-side management for smart grids[J]. IEEE Internet of Things Journal,2017,4(2):374-383.
[23]刘瑞丰,尹莉,张浩,等.国际典型电力市场风能交易规则研究[J].华东电力,2012,40(1):10-12.LIU Ruifeng,YIN Li,ZHANG Hao,et al,Wind pow er trading rules in typical international electricity markets[J]. East China Electric Pow er,2012,40(1):10-12.