Optimal day-ahead electricity market bidding considering different ancillary services

被引：0
|
作者：
Fjelldal, Bjrnar [1 ]
Nafstad, Sjur Messel [1 ]
Klreboe, Gro [1 ]
机构：
[1] Norwegian Univ Sci & Technol, Dept Elect Power Engn, N-2014 Trondheim, Norway
来源：
2014 11TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM) | 2014年
关键词：
multi-market optimization; regulation markets; primary regulation; secondary regulation; model development;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper studies optimal bidding strategies for a hydropower producer in a day-ahead market and different regulation markets. It contains two case studies, analyzing the optimal production pattern considering a pre-spot situation taking different regulation markets into account. Both the optimal bid structure between the spot market and the primary regulation market in Switzerland as well as the spot market and the secondary regulation market in Norway were investigated. Models regarding both case studies were built, and the consistency of the analysis over an entire year was tested. The results illustrate how a small change in the utilization of the watercourse can be very lucrative when considering an additional regulation market, and discusses the importance of correctly calculated water values and profit factors with such ancillary services present.
引用
下载
收藏
页数：6
相关论文
共 50 条
  • [1] Electricity market prices for day-ahead ancillary services and energy: Texas
    Zarnikau, J.
    Woo, C. K.
    Zhu, S.
    Baldick, R.
    Tsai, C. H.
    Meng, J.
    JOURNAL OF ENERGY MARKETS, 2019, 12 (01) : 43 - 74
  • [2] Optimal Bidding Strategy in Day-Ahead Electricity Market for Large Consumers
    Banitalebi, Behrouz
    Appadoo, Srimantoorao S.
    Thavaneswaran, Aerambamoorthy
    2021 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2021,
  • [3] Bidding strategy for generators considering ramp rates in a day-ahead electricity market
    Singh, Satyendra
    Fozdar, Manoj
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2019, 27 (05) : 3868 - 3882
  • [4] ANN based Day-Ahead Ancillary Services Forecast for Electricity Market Simulation
    Faria, Pedro
    Vale, Zita
    Soares, Joao
    Khodr, Hussein
    Canizes, Bruno
    MELECON 2010: THE 15TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, 2010, : 1159 - 1164
  • [5] Optimal Bidding Strategies for Wind Power Producers in the Day-ahead Electricity Market
    Zhang, Haifeng
    Gao, Feng
    Wu, Jiang
    Liu, Kun
    Liu, Xiaolin
    ENERGIES, 2012, 5 (11) : 4804 - 4823
  • [6] Optimal Bidding Strategy for a Smart Microgrid in Day-Ahead Electricity Market with Demand Response Programs Considering Uncertainties
    Salehpour, Mohammad Javad
    Tafreshi, Seyed Masoud Moghaddas
    2017 SMART GRID CONFERENCE (SGC), 2017,
  • [7] Optimal Bidding Strategy for Day-ahead Power Market
    Li, Jie
    Li, Zuyi
    Wang, Yaming
    2015 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2015,
  • [8] Optimal Bidding Strategy for Physical Market Participants With Virtual Bidding Capability in Day-Ahead Electricity Markets
    Mehdipourpicha, Hossein
    Bo, Rui
    IEEE ACCESS, 2021, 9 : 85392 - 85402
  • [9] Strategic bidding for electricity supply in a day-ahead energy market
    Wen, FS
    David, AK
    ELECTRIC POWER SYSTEMS RESEARCH, 2001, 59 (03) : 197 - 206
  • [10] Optimal Bidding Strategies for Thermal and Generic Programming Units in the Day-Ahead Electricity Market
    Heredia, F. -Javier
    Rider, Marcos J.
    Corchero, Cristina
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (03) : 1504 - 1518
12345