计及灵活热负荷的综合能源服务商购电策略
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摘要
作为未来综合能源系统背景下的能源零售主体,综合能源服务商需要对用户不同类型的需求响应(demand response,DR)资源进行有效调控,从而应对不同类型能源市场的价格波动风险,优化市场购电策略,降低能源购置成本。首先根据未来综合能源服务商的基本运营模式,构建了用户不同类型负荷响应特性模型;其次,针对综合能源服务商在运营过程中面临的主要不确定性因素,以其在不同类型市场中能源购置成本最小为目标,构建了计及DR资源的两阶段随机市场购电决策模型。最后通过算例仿真,验证了随机模型的有效性,分析了灵活供热负荷对综合能源服务商购电策略的影响。
As the energy retailer under the background of the multi-energy system,the multi-energy service provider needs to control different types of DR resource efficiently. Sequentially,they can avoid the risk of the price fluctuation and optimize the operation cost. In this paper,according to operation mode of the multi-energy service provider,the response characteristic model of users' different types of loads is proposed; Then,considering the uncertainties in the operation of the multi-energy service provider,the two-stage stochastic model of the energy purchase strategy is proposed. Finally,the model is verified by the simulation,the impact of the flexible thermal load on the energy purchase strategy of the multi-energy service provider are analyzed.
As the energy retailer under the background of the multi-energy system,the multi-energy service provider needs to control different types of DR resource efficiently. Sequentially,they can avoid the risk of the price fluctuation and optimize the operation cost. In this paper,according to operation mode of the multi-energy service provider,the response characteristic model of users' different types of loads is proposed; Then,considering the uncertainties in the operation of the multi-energy service provider,the two-stage stochastic model of the energy purchase strategy is proposed. Finally,the model is verified by the simulation,the impact of the flexible thermal load on the energy purchase strategy of the multi-energy service provider are analyzed.
引文
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[20] TASDIGHI M,GHASEMI H,RAHIMI-KIAN A. Residential microgrid scheduling based on smart meters data and temperature dependent thermal load modeling[J]. IEEE Transactions on Smart Grid,2014,5(1):349-357.
[21] ARTECONI A,HEWITT N J,POLONARA F. State of the art of thermal storage for demand-side management[J]. Applied Energy,2012,93(5):371-389.
[22] RICHARDSON I,THOMSON M,INFIELD D,et al. Domestic electricity use:A high-resolution energy demand model[J]. Energy&Buildings,2010,42(10):1878-1887.
[23] PJM[EB/OL].[2018-01-25]. http://www. pjm. com/marketsand-operations/energy. aspx.
[24] MORALES J M,PINEDA S,CONEJO A J,et al. Scenario reduction for futures market trading in electricity markets[J]. IEEE Transactions on Pow er Systems,2009,24(2):878-888.
[25]夏亮.气温的统计分析及短期预测[D].武汉:华中科技大学,2010.XIA Liang. The statistical analysis of temperature and short-term forecast[D]. Wuhan:Huazhong University of Science and Technology,2010.
[26]国家发改委.国家发展改革委关于调整天然气价格的通知[EB/OL].(2017-12-15)[2013-06-28]. http://w w w. ndrc. gov. cn/fzgggz/jggl/zcfg/201306/t20130628_748405. html.
[27]李德智,童瑞明,王昊,等.中国需求响应实践及关键支撑技术[J].供用电,2014(3):36-39.
[28] BRAHMAN F,HONARMAND M,JADID S. Optimal electrical and thermal energy management of a residential energy hub,integrating demand response and energy storage system[J]. Energy&Buildings,2015,90:65-75.
[29]张宗益,邢文婷,吴胜利.居民用户峰谷分时气价模型及其优化求解方法[J].运筹与管理,2016,25(3):26-31.ZHANG Zongyi,XING Wenting,WU Shengli. Residential customer time-of-use natural gas pricing model and optimized solving method[J]. Operations Research&Management Science,2016,25(3):26-31.
[2] WANG J,ZHONG H,MA Z,et al. Review and prospect of integrated demand response in the multi-energy system[J]. Applied Energy,2017,202:772-782.
[3]曾鸣.基于能源互联网平台的供给侧改革与需求侧响应[J].中国电力企业管理,2016(4):38-41.
[4]杨阳方,刘继春.计及电量互保策略的售电公司两阶段日前决策方法[J].电力系统自动化,2017,41(24):120-127.YANG Yangfang,LIU Jichun. Tw o-stage decision-making method of retailers considering pow er transfer strategy[J]. Automation of Electric Pow er Systems,2017,41(24):120-127.
[5]尹龙,刘继春,高红均,等.考虑多种用户价格机制下的综合型能源售电公司购电竞价策略[J].电网技术,2018,42(1):88-95.YIN Long,LIU Jichun,GAO Hongjun,et al. Study on bidding strategy of comprehensive pow er retailer under multiple user-price mechanisms[J]. Pow er System Technology,2018,42(1):88-95.
[6] PRADO J C D,WEI Q. A stochastic decision-making model for an electricity retailer w ith intermittent renew able energy and short-term demand response[J]. IEEE Transactions on Smart Grid,2018,in press.
[7] CHEN S,LIU C C. From demand response to transactive energy:State of the art[J]. Journal of M odern Pow er Systems&Clean Energy,2017,5(1):10-19.
[8] CARRION M,CONEJO A J,ARROYO J M. Forward contracting and selling price determination for a retailer[J]. IEEE Transactions on Pow er Systems,2007,22(4):2105-2114.
[9] VAHID-PAKDEL M J,NOJAVAN S,MOHAMMADI-IVATLOO B,et al. Stochastic optimization of energy hub operation w ith consideration of thermal energy market and demand response[J].Energy Conversion&M anagement,2017,145(8):117-128.
[10]张禹森,孔祥玉,孙博伟,等.基于电力DR的多时间尺度庭能量管理优化策略[J].电网技术,2018,42(6):1811-1819.ZHANG Yusen,KONG Xiangyu,SUN Bow ei,et al. M ulti-time scale home energy management strategy based on electricity demand response[J]. Pow er System Technology,2018,42(6):1811-1819.
[11]陆俊,彭文昊,冯勇军,等.计及用户参与不确定性的DR策略优化方法[J].电网技术,2018,42(5):1588-1594.LU Jun, PENG Wenhao, FENG Yongjun, et al. A demand response strategy optimization considering user participation uncertainty[J]. Pow er System Technology,2018,42(5):1588-1594.
[12]曾鸣,武赓,王昊婧,等.智能用电背景下考虑用户满意度的居民需求侧响应调控策略[J].电网技术,2016,40(10):2917-2923.ZENG M ing,WU Geng,WANG Haojing,et al. Regulation strategies of demand response considering user satisfaction under smart pow er background[J]. Pow er System Technology,2016,40(10):2917-2923.
[13] PATTEEUW D,BRUNINX K,ARTECONI A,et al. ErikIntegrated modeling of active demand response w ith electric heating systems coupled to thermal energy storage systems[J]. Applied Energy,2015,151:306-319.
[14] CONEJO A J,CARRIN M,MORALES J M. Decision making under uncertainty in electricity markets[M]. Boston, M A:Springer,2010.
[15] GOOD N,NAVARRO-ESPINOSA A,MANCARELLA P,et al.Participation of electric heat pump resources in electricity markets under uncertainty[C]//European Energy M arket. IEEE,2013:1-6.
[16] KHAN A A,RAZZAQ S,KHAN A,et al. HEMSs and enabled demand response in electricity market:An overview[J].Renew able&Sustainable Energy Review s,2015,42(2):773-785.
[17] VALLS M,RENESES J,COSSENT R,et al. Regulatory and market barriers to the realization of demand response in electricity distribution netw orks:A European perspective[J]. Electric Pow er Systems Research,2016,140:689-698.
[18] ALTHAHER S,MANCARELLA P,MUTALE J. Automated demand response from home energy management system under dynamic pricing and pow er and comfort constraints[J]. IEEE Transactions on Smart Grid,2015,6(4):1874-1883.
[19] ZHAO Chaoyue,WANG Jianhui,WATSON J P,et al. Multi-stage robust unit commitment considering w ind and demand response uncertainties[J]. IEEE Transactions on Pow er Systems,2013,28(3):2708-2717.
[20] TASDIGHI M,GHASEMI H,RAHIMI-KIAN A. Residential microgrid scheduling based on smart meters data and temperature dependent thermal load modeling[J]. IEEE Transactions on Smart Grid,2014,5(1):349-357.
[21] ARTECONI A,HEWITT N J,POLONARA F. State of the art of thermal storage for demand-side management[J]. Applied Energy,2012,93(5):371-389.
[22] RICHARDSON I,THOMSON M,INFIELD D,et al. Domestic electricity use:A high-resolution energy demand model[J]. Energy&Buildings,2010,42(10):1878-1887.
[23] PJM[EB/OL].[2018-01-25]. http://www. pjm. com/marketsand-operations/energy. aspx.
[24] MORALES J M,PINEDA S,CONEJO A J,et al. Scenario reduction for futures market trading in electricity markets[J]. IEEE Transactions on Pow er Systems,2009,24(2):878-888.
[25]夏亮.气温的统计分析及短期预测[D].武汉:华中科技大学,2010.XIA Liang. The statistical analysis of temperature and short-term forecast[D]. Wuhan:Huazhong University of Science and Technology,2010.
[26]国家发改委.国家发展改革委关于调整天然气价格的通知[EB/OL].(2017-12-15)[2013-06-28]. http://w w w. ndrc. gov. cn/fzgggz/jggl/zcfg/201306/t20130628_748405. html.
[27]李德智,童瑞明,王昊,等.中国需求响应实践及关键支撑技术[J].供用电,2014(3):36-39.
[28] BRAHMAN F,HONARMAND M,JADID S. Optimal electrical and thermal energy management of a residential energy hub,integrating demand response and energy storage system[J]. Energy&Buildings,2015,90:65-75.
[29]张宗益,邢文婷,吴胜利.居民用户峰谷分时气价模型及其优化求解方法[J].运筹与管理,2016,25(3):26-31.ZHANG Zongyi,XING Wenting,WU Shengli. Residential customer time-of-use natural gas pricing model and optimized solving method[J]. Operations Research&Management Science,2016,25(3):26-31.
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