In an electricity market, the retailer sets up contracts with the wholesale side for purchasing electricity and with the customers for its selling. This paper proposes a mathematical method based on mixed-integer stochastic programming to determine the optimal sale price of electricity to customers and the electricity Procurement policy of a retailer for a specified period. The retailer has Multiple choices for electricity procurement, such as spot market, forward contracts, call options and self production. Risk is considered and modeled by conditional value-at-risk methodology. Also. the competition between retailers is modeled using a market share function. A case study is illustrated to demonstrate the capability of the proposed method. (C) 2008 Elsevier B.V. All rights reserved.
机构:
Univ Castilla La Mancha, Dept Ingn Elect & Elect, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, SpainUniv Castilla La Mancha, Dept Ingn Elect & Elect, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, Spain
Arroyo, JM
;
Conejo, AJ
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机构:
Univ Castilla La Mancha, Dept Ingn Elect & Elect, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, SpainUniv Castilla La Mancha, Dept Ingn Elect & Elect, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, Spain
机构:
Univ Castilla La Mancha, Dept Ingn Elect & Elect, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, SpainUniv Castilla La Mancha, Dept Ingn Elect & Elect, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, Spain
Arroyo, JM
;
Conejo, AJ
论文数: 0引用数: 0
h-index: 0
机构:
Univ Castilla La Mancha, Dept Ingn Elect & Elect, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, SpainUniv Castilla La Mancha, Dept Ingn Elect & Elect, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, Spain