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Maximal Daily Social Welfare through Demand Side Management in the Day-Ahead Electricity Market

Authors

SÁNCHEZ DE LA NIETA LÓPEZ, AGUSTÍN ALEANDRO, Gibescu, Madeleine

External publication

Si

Means

Int. Conf. European Energy Market, EEM

Scope

Proceedings Paper

Nature

Científica

JCR Quartile

SJR Quartile

Publication date

01/01/2018

ISI

000482771100132

Scopus Id

2-s2.0-85055536845

Abstract

The day-ahead electricity market is composed of demand and supply orders. Once market participants have sent their orders, the market clearing algorithm decides the accepted and rejected orders, according to the principle of social welfare maximization. This paper proposes the maximization of daily social welfare through demand side management (DSM), modeled as flexible demand orders per time interval. For that purpose, a linear programming model is implemented whose objective function maximizes the daily social welfare following the balance and the demand side management constraints. A test case over 24 hours shows three strategies through a new price order. These strategies are as follows: the new price order is equal to, higher or lower than the price of the original demand order. Some conclusions are also drawn with respect to the social welfare and the consequences for the suppliers.

Keywords

Day-ahead electricity market; demand side management; flexible demand order; linear problem; social welfare