Do We Need to Implement Multi-Interval Real-Time Markets?

被引:2
|
作者
Biggar, Darryl R. [1 ]
Hesamzadeh, Mohammad Reza [2 ]
机构
[1] Australian Competit & Consumer Commiss, Sydney, NSW, Australia
[2] KTH Royal Inst Technol, Stockholm, Sweden
来源
ENERGY JOURNAL | 2022年 / 43卷 / 02期
关键词
Look-ahead dispatch; Pricing; Real-time market; Dual degeneracy; DYNAMIC ECONOMIC-DISPATCH; POWER; OPTIMIZATION; MODEL;
D O I
10.5547/01956574.43.2.dbig
中图分类号
F [经济];
学科分类号
02 ;
摘要
Many market-based power systems have implemented a form of 'look-ahead dispatch' which simultaneously solves for the optimal dispatch and prices over several intervals into the future. A few papers have pointed out that the dispatch outcomes which emerge from look-ahead dispatch may not be time consistent. We emphasise that this time inconsistency is not inherent in look-ahead dispatch but is a consequence of the assumption of linear cost and utility functions, which is arguably a special case. Various augmentations to the dispatch process to resolve the time inconsistency problem have been proposed, but these augmentations suffer from the drawback that they do not allow the power system to efficiently adjust to new information. We query whether it is necessary to implement multi-interval real-time markets. We show how under certain assumptions, a sequence of oneshot dispatch processes will achieve the efficient outcome.
引用
收藏
页码:111 / 132
页数:22
相关论文
共 50 条
  • [1] Pricing in Multi-Interval Real-Time Markets
    Hua, Bowen
    Schiro, Dane A.
    Zheng, Tongxin
    Baldick, Ross
    Litvinov, Eugene
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (04) : 2696 - 2705
  • [2] Pricing Under Uncertainty in Multi-Interval Real-Time Markets
    Cho, Jehum
    Papavasiliou, Anthony
    OPERATIONS RESEARCH, 2023, 71 (06) : 1928 - 1942
  • [3] Identification and Analysis for Price Multiplicity in Multi-interval Real-time Market
    Li, Wenlong
    Feng, Donghan
    Zhou, Yun
    Xu, Shaolun
    Huang, Bonan
    Zhu, Huangru
    2023 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA, I&CPS ASIA, 2023, : 1866 - 1873
  • [4] A Real-Time Integrated Hierarchical Temporal Memory Network for the Real-Time Continuous Multi-Interval Prediction of Data Streams
    Kang, Hyun-Syug
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2015, 11 (01): : 39 - 56
  • [5] Multi-interval optimization for real-time power system scheduling in the Ontario electricity market
    Yu, CN
    Cohen, AI
    Danai, B
    2005 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS, 1-3, 2005, : 2717 - 2723
  • [6] An integrated hierarchical temporal memory network for real-time continuous multi-interval prediction of data streams
    Diao, Jianhua
    Kang, Hyunsyug
    2014 SIXTH INTERNATIONAL SYMPOSIUM ON PARALLEL ARCHITECTURES, ALGORITHMS AND PROGRAMMING (PAAP), 2014, : 285 - 288
  • [7] Progressive prediction algorithm by multi-interval data sampling in multi-task learning for real-time gas identification
    Fu, Ce
    Zhang, Kuanguang
    Guan, Huixin
    Deng, Shuai
    Sun, Yue
    Ding, Yang
    Wang, Junsheng
    Liu, Jianqiao
    SENSORS AND ACTUATORS B-CHEMICAL, 2024, 418
  • [8] An 8-ch LIDAR Receiver Based on TDC With Multi-Interval Detection and Real-Time In Situ Calibration
    Li, Dong
    Liu, Maliang
    Ma, Rui
    Zhu, Zhangming
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (07) : 5081 - 5090
  • [9] We need "real-time" aircraft monitoring
    McLucas, JL
    AEROSPACE AMERICA, 2002, 40 (01) : 3 - 3
  • [10] We need real-time monitoring of overdoses
    Skulberg, Arne Kristian
    Heyerdahl, Fridtjof
    Dale, Ola
    Eide, Desiree
    TIDSSKRIFT FOR DEN NORSKE LAEGEFORENING, 2024, 144 (08)