基于能源集线器的微能源网能量流建模及优化运行分析
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摘要
讨论了微能源网的概念,提出了全新的子能源集线器建模结构,包括集电器,集热器和集冷器;该结构考虑了储电、蓄冷、储热3种储能装置,可以实现能量的汇集、分配及存储;对能源集线器进行了详细的建模,并总结给出了广义储能装置的通用模型;提出一种实时电价模型,并以此建立需求响应模型;综合考虑微能源网能耗成本和环境成本,建立了微能源网的优化调度模型,计算分析了不同场景下微能源网中电、热、冷、气能源的优化调度结果,对提出的建模方法及优化调度模型的合理性和实用性进行了验证。
The concept of micro energy grid is discussed and a novel sub-energy hub structure including power hub, heating hub and cooling hub is put forward in this paper. The sub-energy hub structure integrating electricity, cooling and heating energy storage devices, can implement functions of collection, allocation and storage of energy. Besides, a detailed model of energy hub is established and a general model for energy storage device is given. A real time pricing model is proposed and a price-based demand model is established based on it. To minimize daily operation cost, a day-ahead dynamic optimal operation model is formulated considering energy cost and carbon emission cost. Numerical simulation results indicate that the proposed energy flow modeling and optimal operation method are universal and effective over entire energy dispatching horizon based on optimal dispatch results in different scenarios.
The concept of micro energy grid is discussed and a novel sub-energy hub structure including power hub, heating hub and cooling hub is put forward in this paper. The sub-energy hub structure integrating electricity, cooling and heating energy storage devices, can implement functions of collection, allocation and storage of energy. Besides, a detailed model of energy hub is established and a general model for energy storage device is given. A real time pricing model is proposed and a price-based demand model is established based on it. To minimize daily operation cost, a day-ahead dynamic optimal operation model is formulated considering energy cost and carbon emission cost. Numerical simulation results indicate that the proposed energy flow modeling and optimal operation method are universal and effective over entire energy dispatching horizon based on optimal dispatch results in different scenarios.
引文
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[20]国家发展改革委,国家能源局.关于改善电力运行调节促进清洁能源多发满发的指导意见,发改运行[2015]518[R].北京:国家发展改革委,国家能源局,2015.
[2]马腾飞,吴俊勇,郝亮亮.含冷热电三联供的微能源网能量流计算及综合仿真[J].电力系统自动化,2016,40(23):22-27.Ma Tengfei,Wu Junyong,Hao Liangliang.Energy flow calculation and integrated simulation of micro energy grid with combined cooling,heating and power[J].Automation of Electric Power Systems,2016,40(23):22-27(in Chinese).
[3]王英瑞,曾博,郭经,等.电–热–气综合能源系统多能流计算方法[J].电网技术,2016,40(10):2942-2951.Wang Yingrui,Zeng Bo,Guo Jing,et al.Multi-energy flow calculation method for integrated energy system containing electricity,heat and gas[J].Power System Technology,2016,40(10):2942-2951(in Chinese).
[4]Geidl M,Andersson G.Optimal power flow of multiple energy carriers[J].IEEE Transactions on Power Systems,2007,22(1):145-155.
[5]Unsihuay C,Lima J W M,Souza A C Z.Modeling the integrated natural gas and electricity optimal power flow[C]//Power Engineering Society General Meeting.Tampa:IEEE,2007:1-7.
[6]孙国强,陈霜,卫志农,等.计及相关性的电—气互联系统概率最优潮流[J].电力系统自动化,2015,39(21):11-17.Sun Guoqiang,Chen Shuang,Wei Zhinong,et al.Probilistic optimal power flow of combined natural gas and electric system considering correlation[J].Automation of Electric Power Systems,2015,39(21):11-17(in Chinese).
[7]Geidl M,Koeppel G,Favre-Perrod P,et al.Energy hubs for the future[J].IEEE Power and Energy Magazine,2007,5(1):24-30.
[8]王毅,张宁,康重庆.能源互联网中能量枢纽的优化规划与运行研究综述及展望[J].中国电机工程学报,2015,35(22):5669-5681.Wang Yi,Zhang Ning,Kang Chongqing.Review and prospect of optimal planning and operation of energy hub in energy internet[J].Proceedings of the CSEE,2015,35(22):5669-5681(in Chinese).
[9]李杨,刘伟佳,赵俊华,等.含电转气的电-气-热系统协同调度与消纳风电效益分析[J].电网技术,2016,40(12):3680-3689.Li Yang,Liu Weijia,Zhao Junhua,et al.Optimal dispatch of combined electricity-gas-heat energy systems with power-to-gas devices and benefit analysis of wind power accommodation[J].IEEE Transactions on Power Systems,2016,40(12):3680-3689(in Chinese).
[10]徐宪东.电/气/热微型能源系统的建模、仿真与能量管理研究[D].天津:天津大学,2014.
[11]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.Zeng Ming,Yang Yongqi,Liu Dunnan,et al.“Generation-grid-loadstorage”coordinative optimal operation mode of energy internet and key technologies[J].Power System Technology,2016,40(1):114-124(in Chinese).
[12]施锦月,许健,曾博,等.基于热电比可调模式的区域综合能源系统双层优化运行[J].电网技术,2016,40(10):2959-2966.Shi Jinyue,Xu Jian,Zeng Bo,et al.A bi-level optimal operation for energy hub based on regulating heat-to-electric ratio mode[J].Power System Technology,2016,40(10):2959-2966(in Chinese).
[13]李更丰,别朝红,王睿豪,等.综合能源系统可靠性评估的研究现状及展望[J].高电压技术,2017,43(1):114-121.Li Gengfeng,Bie Zhaohong,Wang Ruihao,et al.Research status and prospects on reliability evaluation of integrated energy system[J].High Voltage Engineering,2017,43(1):114-121(in Chinese).
[14]Mancarella P,Chicco G.Real-time demand response from energy shifting in distributed multi-generation[J].IEEE Transactions on Smart Grid,2013,4(4):1928-1938.
[15]马丽,刘念,张建华,等.基于主从博弈策略的社区能源互联网分布式能量管理[J].电网技术,2016,40(12):3655-3662.Ma Li,Liu Nian,Zhang Jianhua,et al.Distributed energy management of community energy internet based on leader-followers game[J].Power System Technology,2016,40(12):3655-3662(in Chinese).
[16]曾鸣,武赓,李冉,等.能源互联网中综合需求侧响应的关键问题及展望[J].电网技术,2016,40(11):3391-3398.Zeng Ming,Wu Geng,Li Ran,et al.Key problems and prospects of integrated demand response in energy internet[J].Power System Technology,2016,40(11):3391-3398(in Chinese).
[17]Geidl M,Andersson G.Optimal coupling of energy infrastructures[C]//Power Tech,IEEE Lausanne.IEEE,2007:1398-1403.
[18]薛小代,刘彬卉,汪雨辰,等.基于压缩空气储能的社区微能源网设计[J].中国电机工程学报,2016,36(12):3306-3313.Xue Xiaodai,Liu Binhui,Wang Yuchen,et al.Micro energy network design for community based on compressed air energy storage[J].Proceedings of the CSEE,2016,36(12):3306-3313(in Chinese).
[19]Aalami H A,Parsa-Moghaddam M,Yousefi G R.Demand response modeling considering interruptible/curtailable loads and capacity market programs[J].Appl Energy,2010(87):243-50.
[20]国家发展改革委,国家能源局.关于改善电力运行调节促进清洁能源多发满发的指导意见,发改运行[2015]518[R].北京:国家发展改革委,国家能源局,2015.