Effects of optimal grouping of wind farms in day-ahead markets through an external agent

A.A. Sánchez de la Nieta Lopez; V. Guerrero-Mestre; J. Contreras

Effects of optimal grouping of wind farms in day-ahead markets through an external agent

A.A. Sánchez de la Nieta Lopez, V. Guerrero-Mestre, J. Contreras

Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic

Samenvatting

This paper models the optimal joint offer of several wind farms in day-ahead market grouped through an external agent considering the imbalance penalty market. This problem is modeled as a stochastic mixed integer linear one and the objective function maximizes the expected profit of the daily operation with two kinds of offers: i) Separate wind farm offers and ii) A coordinated wind farm offer through an external agent. A risk-hedging measure is used and a case study will be analyzed comparing imbalances and expected profits

Originele taal-2	Engels
Status	Gepubliceerd - 2014
Extern gepubliceerd	Ja
Evenement	20th Conference of the International Federation of Operational Research Societies - Barcelona, Spanje Duur: 13 jul. 2014 → 18 jul. 2014

Congres

Congres	20th Conference of the International Federation of Operational Research Societies
Verkorte titel	IFORS 2014
Land/Regio	Spanje
Stad	Barcelona
Periode	13/07/14 → 18/07/14

Citeer dit

@conference{4110823d61a4444595c9563488b52857,

title = "Effects of optimal grouping of wind farms in day-ahead markets through an external agent",

abstract = "This paper models the optimal joint offer of several wind farms in day-ahead market grouped through an external agent considering the imbalance penalty market. This problem is modeled as a stochastic mixed integer linear one and the objective function maximizes the expected profit of the daily operation with two kinds of offers: i) Separate wind farm offers and ii) A coordinated wind farm offer through an external agent. A risk-hedging measure is used and a case study will be analyzed comparing imbalances and expected profits",

keywords = "Applications, Energy, Risk Analysis and Management",

author = "{S{\'a}nchez de la Nieta Lopez}, A.A. and V. Guerrero-Mestre and J. Contreras",

year = "2014",

language = "English",

note = "20th Conference of the International Federation of Operational Research Societies, IFORS 2014 ; Conference date: 13-07-2014 Through 18-07-2014",

}

TY - CONF

T1 - Effects of optimal grouping of wind farms in day-ahead markets through an external agent

AU - Sánchez de la Nieta Lopez, A.A.

AU - Guerrero-Mestre, V.

AU - Contreras, J.

PY - 2014

Y1 - 2014

N2 - This paper models the optimal joint offer of several wind farms in day-ahead market grouped through an external agent considering the imbalance penalty market. This problem is modeled as a stochastic mixed integer linear one and the objective function maximizes the expected profit of the daily operation with two kinds of offers: i) Separate wind farm offers and ii) A coordinated wind farm offer through an external agent. A risk-hedging measure is used and a case study will be analyzed comparing imbalances and expected profits

AB - This paper models the optimal joint offer of several wind farms in day-ahead market grouped through an external agent considering the imbalance penalty market. This problem is modeled as a stochastic mixed integer linear one and the objective function maximizes the expected profit of the daily operation with two kinds of offers: i) Separate wind farm offers and ii) A coordinated wind farm offer through an external agent. A risk-hedging measure is used and a case study will be analyzed comparing imbalances and expected profits

KW - Applications, Energy

KW - Risk Analysis and Management

M3 - Abstract

T2 - 20th Conference of the International Federation of Operational Research Societies

Y2 - 13 July 2014 through 18 July 2014

ER -

Effects of optimal grouping of wind farms in day-ahead markets through an external agent

Samenvatting

Congres

Vingerafdruk

Citeer dit