Optimal Bidding for a Large Battery-Electrolyzer Facility in the Day-ahead Market

被引:3
|
作者
Miljan, Petra [1 ]
Tomsic, Zeljko [2 ]
Pandzic, Hrvoje [2 ]
机构
[1] Univ Zagreb UniZg, Fac Elect Engn & Comp FER, Zagreb, Croatia
[2] UniZg, FER, Zagreb, Croatia
关键词
bi-level optimization; battery; electrolyzer; market clearing;
D O I
10.1109/MELECON53508.2022.9843137
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
An increasing renewable energy sources (RES) penetration in the recent years has also increased the need for additional flexibility sources and technologies that increase the RES utilization. In addition to battery energy storage, electrolyzers, a technology that produces hydrogen without emitting CO2, are also receiving an increasing attention. This paper proposes a bilevel profit maximization model for a large battery-electrolyzer facility operation in the day-ahead electricity market. The upper level maximizes the overall profit of the facility, while the lower level simulates the market clearing by maximizing the social welfare. The proposed model is tested on the IEEE RTS-24 test system expanded with wind farms to replicate a modern power system. The presented case study shows how different levels of installed power capacity affect the obtained profit and discusses the battery and electrolyzer utilization.
引用
下载
收藏
页码:201 / 206
页数:6
相关论文
共 50 条
  • [1] 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,
  • [2] Optimal Bidding Strategy for Day-ahead Power Market
    Li, Jie
    Li, Zuyi
    Wang, Yaming
    2015 NORTH AMERICAN POWER SYMPOSIUM (NAPS), 2015,
  • [3] Optimal Bidding, Scheduling, and Deployment of Battery Systems in California Day-Ahead Energy Market
    Mohsenian-Rad, Hamed
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2016, 31 (01) : 442 - 453
  • [4] Optimal day-ahead electricity market bidding considering different ancillary services
    Fjelldal, Bjrnar
    Nafstad, Sjur Messel
    Klreboe, Gro
    2014 11TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2014,
  • [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] Stochastic programming approach for optimal day-ahead market bidding curves of a microgrid
    Herding, Robert
    Ross, Emma
    Jones, Wayne R.
    Charitopoulos, Vassilis M.
    Papageorgiou, Lazaros G.
    APPLIED ENERGY, 2023, 336
  • [7] A day-ahead bidding strategy for battery swapping and charging system participating in the regulation market
    Wang, Ziqi
    Hou, Sizu
    Li, Baikui
    Yu, Zhuoxin
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (05) : 1135 - 1147
  • [8] Risk assessment of generators bidding in day-ahead market
    Das, D
    Wollenberg, BF
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (01) : 416 - 424
  • [9] Coordinated Hydropower Bidding in the Day-Ahead and Balancing Market
    Aasgard, Ellen Krohn
    PROCEEDINGS OF THE 6TH INTERNATIONAL WORKSHOP ON HYDRO SCHEDULING IN COMPETITIVE ELECTRICITY MARKETS, 2019, : 16 - 25
  • [10] Optimal Battery Energy Storage Dispatch for the Day-Ahead Electricity Market
    Gonzalez-Saenz, Julio
    Becerra, Victor
    BATTERIES-BASEL, 2024, 10 (07):