Optimal Scheduling Method for Integrated Electro-thermal Energy System Considering Heat Transmission Dynamic Characteristics

被引：0
|
作者：
Wang M. [1 ]
Mu Y. [1 ]
Meng X. [1 ]
Jia H. [1 ]
Wang X. [2 ]
Huo X. [2 ]
机构：
[1] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Nankai District, Tianjin
[2] Electric Power Research Institute, State Grid Tianjin Electric Power Company, Xiqing District, Tianjin
来源：
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Heat transmission; Integrated energy system; Optimal scheduling; Quasi-dynamic model; Virtual storage;
D O I：
10.13335/j.1000-3673.pst.2019.1097
中图分类号：
学科分类号：
摘要：
An optimal scheduling method for integrated electro-thermal energy system considering heat transmission dynamic characteristics is proposed in this paper. Firstly, a quasi-dynamic model of heat transmission is proposed based on dynamic characteristics of heating network such as time delay and heat storage. The virtual storage potential of heating network is analyzed. Then, combined with energy equipment model, an optimal scheduling method considering heat transmission dynamic characteristics is proposed. The heating network is used as scheduling resource to participate in the optimal scheduling of integrated electro-thermal energy system. Scheduling of the virtual storage of heating network is thus achieved. Numerical studies demonstrate that the model considering heat transmission dynamic characteristics is able to reduce operational cost of integrated energy system by making use of the virtual storage inspired by time-of-use electricity prices as well as taking advantage of the complementarity between electrical and thermal power flow. © 2020, Power System Technology Press. All right reserved.
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页码：132 / 140
页数：8
相关论文
共 25 条
  • [1] Yu X., Xu X., Chen S., Et al., A brief review to integrated energy system and energy internet, Transactions of China Electrotechnical Society, 31, 1, pp. 1-13, (2016)
  • [2] Zeng M., Liu Y., Zhou P., Et al., Review and prospects of integrated energy system modeling and benefit evaluation, Power System Technology, 42, 6, pp. 1697-1708, (2018)
  • [3] Yao C., Zhang Z., Yu J.C., Et al., Research on operation and management muti-node of mega city energy internet, Global Energy Interconnection, 1, 2, pp. 130-136, (2018)
  • [4] Jia H., Mu Y., Yu X., Thought about the integrated energy system in China, Electric Power Construction, 36, 1, pp. 16-25, (2015)
  • [5] Geidl M., Koeppel G., Favre-Perrod P., Et al., Energy hubs for the future, IEEE Power and Energy Magazine, 5, 1, pp. 24-30, (2007)
  • [6] Mohammad M., Younes N., Behnam M., Et al., Energy hub: from a model to a concept-a review, Renewable and Sustainable Energy Reviews, 80, pp. 1512-1527, (2017)
  • [7] Jia H., Wang D., Xu X., Et al., Research on some key problems related to integrated energy system, Automation of Electric Power Systems, 39, 7, pp. 198-207, (2015)
  • [8] Wang C., Hong B., Guo L., Et al., General modeling method for cooling, heating and power supply for microgrid optimization scheduling, Proceedings of the CSEE, 33, 31, pp. 26-33, (2013)
  • [9] Chen Q., Fu R.H., Xu Y.C., Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks, Applied Energy, 139, pp. 81-92, (2015)
  • [10] Chen H., Wen J., Wang Z., Et al., Transfer laws and equations of energy networks, Journal of Xi'an Jiaotong University, 48, 10, pp. 66-76, (2014)
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