Improved hybridization of CEVESA MIBEL market model based on real market data

被引:1
|
作者
de Oliveira, Andre Rodrigues [1 ,2 ]
Collado, Jose Villar [1 ]
Saraiva, Joao Tome [1 ,2 ]
Alberto Campos, Fco. [3 ]
机构
[1] INESC TEC Inst Syst & Comp Engn Technol & Sci, Porto, Portugal
[2] Univ Porto, Fac Engn, Porto, Portugal
[3] Comillas Pontifical Univ, Inst Res Technol, Tech Sch Engn, Madrid, Spain
关键词
Iberian electricity market; electricity price markup; hybrid market models;
D O I
10.1109/EEM58374.2023.10161756
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a new hybridization approach to improve CEVESA, a multi-zonal hydro-thermal equilibrium model for the joint dispatch of energy and secondary reserve capacity for the Iberian Electricity Market (MIBEL). Like similar fundamental models, CEVESA provides market prices that typically show an average systematic bias compared to real market prices. This is because these models do not always capture the true variable production costs of the generation units or the additional markups that generation companies may include in their pricing strategy. Based on real market outcomes, this paper proposes a new methodology built on a previous hybridization approach that estimated a constant monthly markup per thermal offering unit [1]. This new methodology is based on a functional estimation of the offering unit cost (or bidding price), using as input the initial CEVESA production costs based on the fuel and emissions commodities' prices, correcting the power plants' markup.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] REAL ESTATE MARKET PRICE PREDICTION MODEL OF ISTANBUL
    Tekin, Mert
    Sari, Irem Ucal
    REAL ESTATE MANAGEMENT AND VALUATION, 2022, 30 (04) : 1 - 16
  • [42] Real options model and application to the crude oil market
    Hernandez del Valle, Adrian
    Martinez Garcia, Claudia Icela
    TRIMESTRE ECONOMICO, 2007, 74 (294): : 329 - 348
  • [43] Modelling Virtual Network Market Data with Open Multi-commodity Market Model
    Granat, Janusz
    Koltys, Kamil
    Pienkosz, Krzysztof
    MODELING MULTI-COMMODITY TRADE: INFORMATION EXCHANGE METHODS, 2012, 121 : 179 - 191
  • [44] Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model
    Ali, Muhammad
    Khan, Dost Muhammad
    Alshanbari, Huda M. M.
    El-Bagoury, Abd Al-Aziz Hosni
    APPLIED SCIENCES-BASEL, 2023, 13 (03):
  • [45] Modelling market diffusion of electric vehicles with real world driving data - German market and policy options
    Gnann, Till
    Ploetz, Patrick
    Kuehn, Andre
    Wietschel, Martin
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2015, 77 : 95 - 112
  • [46] Pricing in networks based on model of market
    Yang Mu-yi
    Jing Yuan-wei
    PROCEEDINGS OF THE 2007 CHINESE CONTROL AND DECISION CONFERENCE, 2007, : 634 - +
  • [47] Stealthy and profitable data injection attack on real time electricity market with network model uncertainties
    Badrsimaei, Hamed
    Hooshmand, Rahmat-Allah
    Nobakhtian, Soghra
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 205
  • [48] An Improved Deep-Learning-Based Financial Market Forecasting Model in the Digital Economy
    Dexiang, Yang
    Shengdong, Mu
    Liu, Yunjie
    Jijian, Gu
    Chaolung, Lien
    MATHEMATICS, 2023, 11 (06)
  • [49] An improved consumer goods market model-based vertical handoff decision algorithm
    Liu, Xingwei
    Yang, Tao
    Wang, Li
    Chen, Xu
    Bo, Hui
    Ding, Chao
    IEICE ELECTRONICS EXPRESS, 2012, 9 (04): : 234 - 239
  • [50] Real and Reactive Power Price of Generators to Load in Pool Based Electricity Market Model
    Kumar, Rajendar
    Kumar, Ashwani
    2015 INTERNATIONAL CONFERENCE ON ENERGY ECONOMICS AND ENVIRONMENT (ICEEE), 2015,