Dynamic Environmental Economic and Collaborative Flexibility Dispatch of Integrated Power, Heat and Natural Gas Energy System

被引:0
|
作者
Zhong Y. [1 ]
Sun Y. [1 ]
Wang T. [2 ]
Xu Z. [1 ]
Wang J. [1 ]
Xiong J. [1 ]
Zhu X. [2 ]
机构
[1] College of Energy and Electrical Engineering, Hohai University, Nanjing, 210098, Jiangsu Province
[2] Economic Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing, 210008, Jiangsu Province
来源
基金
中国国家自然科学基金;
关键词
Collaborative optimization; Economic dispatch; Flexible; Integrated power; heat and natural gas energy system;
D O I
10.13335/j.1000-3673.pst.2019.2463
中图分类号
学科分类号
摘要
As an important development direction of energy Internet, the integrated power, heat and natural gas energy system (IPHNGES) is of great significance to promote energy cooperation and complementarity, realize low carbon economic operation, and improve flexible dispatch potential. Considering the diversified interconnection mode of heterogeneous energy systems (HES), a variety of improved equipment models with continuous regulation ability and higher flexibility potential are established, which are more refined and practical, on the basis of traditional energy conversion units. A unified steady-state power flow model taking into account HES of PHNG is proposed. Aiming at minimizing the carbon emission and operating economic cost of IPHNGES, the dynamic environmental economic and collaborative flexibility dispatch for IPHNGES is carried out based on the multi-objective fuzzy optimization method. Finally, the IPHNGES simulation results demonstrate the effectiveness and feasibility of the proposed model and method. © 2020, Power System Technology Press. All right reserved.
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收藏
页码:2457 / 2465
页数:8
相关论文
共 23 条
  • [1] Ai Qian, Hao Ran, Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system, Automation of Electric Power Systems, 42, 4, pp. 2-10, (2018)
  • [2] Zhong Y J, Xie D L, Zhai S W, Day-ahead hierarchical steady state optimal operation for integrated energy system based on energy hub, Energies, 11, 8, pp. 1-15, (2018)
  • [3] Yin Shuangrui, Ai Qian, Zeng Shunqi, Et al., Challenges and prospects of multi-energy distributed optimization for energy internet, Power System Technology, 42, 5, pp. 1359-1369, (2018)
  • [4] Yang Shuai, Chen Lei, Xu Fei, Et al., Optimal dispatch model of wind power accommodation in integrated electrical-thermal power system based on power flow model, Power System Technology, 42, 2, pp. 417-426, (2018)
  • [5] Hao Ran, Ai Qian, Zhu Yuchao, Et al., Hierarchical optimal dispatch based on energy hub for regional integrated energy system, Electric Power Automation Equipment, 37, 6, pp. 171-178, (2017)
  • [6] Zhong Y J, Xie D L, Zhou M, Et al., Hierarchical optimal operation for integrated energy system based on energy hub, Proceedings of 2nd IEEE Conference on Energy Internet and Energy System Integration, pp. 1-6, (2018)
  • [7] Dong Shuai, Wang Chengfu, Xu Shijie, Et al., Day-ahead optimal scheduling of electricity-gas-heat integrated energy system considering dynamic characteristics of networks, Automation of Electric Power Systems, 42, 13, pp. 12-19, (2018)
  • [8] Dou Xun, Zhao Wenhao, Lang Yizihe, Et al., A review of operation of natural gas-electricity coupling system considering power-to-gas technology, Power System Technology, 43, 1, pp. 165-173, (2019)
  • [9] Zhang B W, Sun Y H, Zhong Y J, Et al., Optimal energy flow of electricity-gas integrated energy system using second-order cone program, Proceedings of the 30th Chinese Control and Decision Conference, pp. 5085-5089, (2018)
  • [10] Yang L, Zhao X, Xu Y L, Et al., A convex optimization and iterative solution based method for optimal power-gas flow considering power and gas losses, Electrical Power & Energy Systems, 121, pp. 1-12, (2020)