Optimal operation of cold–heat–electricity multi-energy collaborative system based on price demand response

被引:0
|
作者
Cao Y. [1 ]
Wang L. [1 ]
Jiang S. [2 ]
Yang W. [2 ]
Zeng M. [1 ]
Guo X. [1 ]
机构
[1] School of Economics and Management, North China Electric Power University, Beijing
[2] State Grid Economic and Technological Research Institute Co., Beijing
来源
Global Energy Interconnection | 2020年 / 3卷 / 05期
关键词
Demand response; Energy hub; Market elasticity; Multi-energy collaborative system; Optimized operation;
D O I
10.1016/j.gloei.2020.11.003
中图分类号
学科分类号
摘要
In a multi-energy collaboration system, cooling, heating, electricity, and other energy components are coupled to complement each other. Through multi-energy coordination and cooperation, they can significantly improve their individual operating efficiency and overall economic benefits. Demand response, as a multi-energy supply and demand balance method, can further improve system flexibility and economy. Therefore, a multi-energy cooperative system optimization model has been proposed, which is driven by price-based demand response to determine the impact of power-demand response on the optimal operating mode of a multi-energy cooperative system. The main components of the multi-energy collaborative system have been analyzed. The multi-energy coupling characteristics have been identified based on the energy hub model. Using market elasticity as a basis, a price-based demand response model has been built. The model has been optimized to minimize daily operating cost of the multi-energy collaborative system. Using data from an actual situation, the model has been verified, and we have shown that the adoption of price-based demand response measures can significantly improve the economy of multi-energy collaborative systems. © 2020 Global Energy Interconnection Development and Cooperation Organization
引用
收藏
页码:430 / 441
页数:11
相关论文
共 50 条
  • [21] User-Side Integrated Demand Response Business Architecture Based on Multi-energy Interconnection of Electricity, Heat and Gas
    Chen, Han
    Chen, Simin
    Lin, Xiaofan
    Chen, Jinchun
    Chen, Wanqing
    Chen, Guannan
    2021 11TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES 2021), 2021, : 844 - 849
  • [22] Collaborative Optimal Scheduling of the Community Integrated Energy System Based on Multi-energy Supply/demand-cost Mapping Analysis
    Li P.
    Wang J.
    Wang Z.
    Han Z.
    Yin Y.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2023, 43 (11): : 4307 - 4318
  • [23] Implementation of a price-driven demand response in a distributed energy system with multi-energy flexibility measures
    Niu, Jide
    Tian, Zhe
    Zhu, Jie
    Yue, Lu
    ENERGY CONVERSION AND MANAGEMENT, 2020, 208
  • [24] Multi-energy collaborative optimization of park integrated energy system considering carbon emission and demand response
    Guo, Weishang
    Wang, Qiang
    Liu, Haiying
    Desire, Wade Atchike
    ENERGY REPORTS, 2023, 9 : 3683 - 3694
  • [25] Optimal operation of smart multi-energy hub systems incorporating energy hub coordination and demand response strategy
    Dzobo, O.
    Xia, X.
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2017, 9 (04)
  • [26] Optimal Operation of Multi-energy Complementary Microgrid with Cooling, Thermal and Electricity Load
    Tan, Lingling
    Wang, Panbao
    Wang, Wei
    Xu, Dianguo
    2021 3RD ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2021), 2021, : 599 - 604
  • [27] Electricity-Heat-Based Integrated Demand Response Considering Double Auction Energy Market with Multi-Energy Storage for Interconnected Areas
    Wang, Dan
    Huang, Deyu
    Hu, Qing'e
    Jia, Hongjie
    Liu, Bo
    Lei, Yang
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2024, 10 (04): : 1688 - 1700
  • [28] Stochastic optimization in multi-energy hub system operation considering solar energy resource and demand response
    Thang, V. V.
    Ha, Thanhtung
    Li, Qinhao
    Zhang, Yongjun
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 141
  • [29] Economical Optimal Operation of Multi-energy System Considering Uncertainty
    Zhu, Rui
    Zheng, Jianyong
    Mei, Fei
    Pan, Yi
    Zhou, Cheng
    PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 447 - 452
  • [30] Resilient operation of multi-energy industrial park based on integrated hydrogen-electricity-heat microgrids
    Liu, Jinhui
    Cao, Xiaoyu
    Xu, Zhanbo
    Guan, Xiaohong
    Dong, Xiangxiang
    Wang, Chao
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (57) : 28855 - 28869