Clearing and Pricing for Coordinated Gas and Electricity Day-Ahead Markets Considering Wind Power Uncertainty

被引:72
|
作者
Chen, Runze [1 ]
Wang, Jianhui [2 ]
Sun, Hongbin [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Argonne Natl Lab, Argonne, IL 60437 USA
基金
中国国家自然科学基金;
关键词
Day-ahead market; gas and electricity coordination; wind power; unit commitment; stochastic programming; NATURAL-GAS; ENERGY; SYSTEMS; OPTIMIZATION; SECURITY; MODEL;
D O I
10.1109/TPWRS.2017.2756984
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Natural gas and electricity systems are becoming increasingly strongly coupled. Gas-fired units (GFUs) are replacing retired coal plants, and the power systems are more dependent on the flexibilities provided by GFUs. The GFUs' power generation capability relies on the availability of gas resources, which is jointly determined by the capacity of gas suppliers and pipeline networks. However, the gas and electricity markets are operated separately. Consequently, the GFUs are forced to "represent" the entire power system to bid on the gas market: they must make forecasts regarding future gas consumption and bear the risk of improper contracts or being unable to meet generation schedules due to occasional insufficient gas supply. When facing larger shares of renewable energies and more frequent gas network congestions, the current market framework is particularly unreliable and inefficient, as well as economically unfriendly to the investors of the GFU assets. In this paper, we try to develop a framework that can combine the two markets. By properly pricing the scarce resources, e.g., gas transmission capacity, the joint market can help us to allocate the resources more efficiently while satisfying the demands. Moreover, a more forward-looking day-ahead market clearing framework is presented by considering the uncertainty brought by renewable energies. The formulation and algorithm of the proposed joint market model will be presented, as are some case studies.
引用
收藏
页码:2496 / 2508
页数:13
相关论文
共 50 条
  • [21] Coordinated operation of electricity and natural gas systems from day-ahead to real-time markets
    Guerra, Omar J.
    Sergi, Brian
    Craig, Michael
    Pambour, Kwabena Addo
    Brancucci, Carlo
    Hodge, Bri-Mathias
    JOURNAL OF CLEANER PRODUCTION, 2021, 281
  • [22] Wind Power Bidding Strategy in a Day-ahead Electricity Market
    Bhaskar, Kanna
    Singh, S. N.
    2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,
  • [23] Monthly electricity purchase and decomposition optimization considering wind power accommodation and day-ahead schedule
    Jiang, Yuewen
    Yu, Simin
    Wen, Buying
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 107 : 231 - 238
  • [24] Day-ahead Interval Optimization of Integrated Energy System Considering Wind Power Integration and Gas-Electricity Transformation
    Su Y.
    Nie W.
    Tan M.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2019, 43 (17): : 63 - 71
  • [25] European day-ahead electricity market clearing model
    Chatzigiannis, Dimitris I.
    Dourbois, Grigoris A.
    Biskas, Pandelis N.
    Bakirtzis, Anastasios G.
    ELECTRIC POWER SYSTEMS RESEARCH, 2016, 140 : 225 - 239
  • [26] Auction design in day-ahead electricity markets
    Contreras, J
    Candiles, O
    de la Fuente, JI
    Gómez, T
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (01) : 88 - 96
  • [27] Day-Ahead Schedule and Equilibrium for the Coupled Electricity and Natural Gas Markets
    Ji, Zhenya
    Huang, Xueliang
    IEEE ACCESS, 2018, 6 : 27530 - 27540
  • [28] Evaluation of the uncertainty in the scheduling of a wind and storage power plant participating in day-ahead and reserve markets
    Crespo-Vazquez, Jose L.
    Carrillo, C.
    Diaz-Dorado, E.
    4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT RESEARCH, ICEER 2017, 2017, 136 : 73 - 78
  • [29] Hourly electricity prices in day-ahead markets
    Huisman, Ronald
    Huurman, Christian
    Mahieu, Ronald
    ENERGY ECONOMICS, 2007, 29 (02) : 240 - 248
  • [30] A Probabilistic Day-ahead Scheduling with Considering Wind Power Curtailment
    Wang, Chen
    Liu, Tianbin
    Zhu, Zhigang
    Cheng, Jie
    Wei, Cong
    Wu, Yayi
    Lin, Chun
    Bai, Fan
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017, : 737 - 741