Optimal electricity price calculation model for retailers in a deregulated market

被引：50
|
作者：
Yusta, JM
Ramírez-Rosado, IJ
Dominguez-Navarro, JA
Perez-Vidal, JM
机构：
[1] Univ Zaragoza, Dept Elect Engn, CPS, E-50018 Zaragoza, Spain
[2] Univ La Rioja, Dept Elect Engn, E-26004 Logrono, Spain
[3] Energy Serv Div McKinnon & Clarke, E-50006 Zaragoza, Spain
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2005年 / 27卷 / 5-6期
关键词：
electricity retailing; optimization; electric tariffs;
D O I：
10.1016/j.ijepes.2005.03.002
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：
The electricity retailing, a new business in deregulated electric power systems, needs the development of efficient tools to optimize its operation. This paper defines a technical-economic model of an electric energy service provider in the environment of the deregulated electricity market in Spain. This model results in an optimization problem, for calculating the optimal electric power and energy selling prices that maximize the economic profits obtained by the provider. This problem is applied to different cases, where the impact on the profits of several factors, such as the price strategy, the discount on tariffs and the elasticity of customer demand functions, is studied. © 2005 Published by Elsevier Ltd.
引用
收藏
页码：437 / 447
页数：11
相关论文
共 50 条
  • [11] Constrained Optimal Bidding Strategy in Deregulated Electricity Market
    Palit, D.
    Chakraborty, N.
    ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 2, 2015, 325 : 863 - 873
  • [12] Price Forecasting Technique and Methods in Deregulated Electricity Market: an Inclusive Review
    Kumar, Atul
    Upadhayay, K. G.
    2018 INTERNATIONAL CONFERENCE ON POWER ENERGY, ENVIRONMENT AND INTELLIGENT CONTROL (PEEIC), 2018, : 565 - 571
  • [13] Sensitivity Assessment on Locational Marginal Price under Deregulated Electricity Market
    Aby, Ashok Thomas
    Karthikeyan, S. Prabhakar
    Bhattacharya, Tulika
    Thomas, Polly
    Skariah, Emil Ninan
    PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON), 2016, : 1701 - 1705
  • [14] Electricity price forecasting of deregulated market using Elman neural network
    Vardhan, N. Harsha
    Chintham, Venkaiah
    2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
  • [15] A day-ahead electricity price prediction based on a fuzzy-neuro autoregressive model in a deregulated electricity market
    Niimura, T
    Ko, HS
    Ozawa, K
    PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 2002, : 1362 - 1366
  • [16] Minimizing price-risk exposure for deregulated electricity market participants
    Galloway, S
    Dahal, K
    Burt, G
    McDonald, J
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2004, 23 (01) : 79 - 91
  • [17] Next-Day Electricity Price Forecasting on Deregulated Power Market
    Toyama, Hirofumi
    Senjyu, Tomonobu
    Areekul, Phatchakorn
    Chakraborty, Shantanu
    Yona, Atsushi
    Funabashi, Toshihisa
    T& D ASIA: 2009 TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: ASIA AND PACIFIC, 2009, : 96 - +
  • [18] Optimal Price Design in the Wholesale Electricity Market
    Bigerna, Simona
    Bollino, Carlo Andrea
    ENERGY JOURNAL, 2016, 37 : 51 - 68
  • [19] A Stackelberg price leadership model with application to deregulated electricity markets
    Yu, Z
    Sparrow, FT
    Morin, TL
    Nderitu, G
    2000 IEEE POWER ENGINEERING SOCIETY WINTER MEETING - VOLS 1-4, CONFERENCE PROCEEDINGS, 2000, : 1814 - 1819
  • [20] Zonal Congestion Management Based on Locational Marginal Price in Deregulated Electricity Market
    Sarwar, Md
    Siddiqui, Anwar Shahzad
    2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
12345