A Double-Auction Mechanism for Distribution of Electrical Supply Capacities among Enterprises of an Industrial Park
被引:1
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作者:
Rocchi, Ariel Mariano
论文数: 0引用数: 0
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机构:
Univ Tecnolog Nacl, Buenos Aires, DF, ArgentinaUTN, FRSF, Santa Fe, Argentina
Rocchi, Ariel Mariano
[6
]
Fernandez, Erica Soledad
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h-index: 0
机构:
UTN, FRSF, Santa Fe, Argentina
UTN, Ingn Ind, Santa Fe, ArgentinaUTN, FRSF, Santa Fe, Argentina
Fernandez, Erica Soledad
[1
,2
]
Vega, Jorge Ruben
论文数: 0引用数: 0
h-index: 0
机构:
UTN, FRSF, Dept Ingn Elect, Santa Fe, Argentina
UTN, FRSF, Ctr Invest & Desarrollo Ingn Elect & Sistemas Ene, Santa Fe, Argentina
UNL, CONICET, INTEC, Santa Fe, ArgentinaUTN, FRSF, Santa Fe, Argentina
Vega, Jorge Ruben
[3
,4
,5
]
机构:
[1] UTN, FRSF, Santa Fe, Argentina
[2] UTN, Ingn Ind, Santa Fe, Argentina
[3] UTN, FRSF, Dept Ingn Elect, Santa Fe, Argentina
[4] UTN, FRSF, Ctr Invest & Desarrollo Ingn Elect & Sistemas Ene, Santa Fe, Argentina
[5] UNL, CONICET, INTEC, Santa Fe, Argentina
[6] Univ Tecnolog Nacl, Buenos Aires, DF, Argentina
Typically, an industry contracts a given electrical supply capacity to the energy distribution company for a relatively long time period. Such kind of contract is often expensive for the industry, because large supply capacities must be considered in order to avoid penalty fees due to an eventually high peak power demand that could occur even along a short time period. This paper proposes a dynamic strategy for simultaneously assigning the price and the fraction of power supply capacity to every industry located in an industrial park. The assignment strategy aims at reaching a joint benefit for all the involved enterprises (i.e., the industries and the energy distribution company). The proposed procedure involves 3 sequential algorithms. The strategy for supply capacity re-assignment is based on a double-auction mechanism, which can be applied at time periods of arbitrary duration. The proposal is evaluated on the basis of two synthetic examples that involve different number of industries and electric power consumptions.