DocumentCode :
19536
Title :
Optimization-Based Approach for Price Multiplicity in Network-Constrained Electricity Markets
Author :
Alguacil, Natalia ; Arroyo, Jose Manuel ; Garcia-Bertrand, Raquel
Author_Institution :
Dept. de Ing. Electr., Univ. de Castilla-La Mancha, Ciudad Real, Spain
Volume :
28
Issue :
4
fYear :
2013
fDate :
Nov. 2013
Firstpage :
4264
Lastpage :
4273
Abstract :
This paper addresses the problem of price multiplicity in network-constrained pool-based electricity markets under marginal pricing. This problem consists in the existence of multiple vectors of locational marginal prices for the same optimal market-clearing dispatch solution. As a consequence, delicate conflicts of interest may arise among market participants. Price multiplicity may take place even in auction designs based on convex formulations for the market-clearing procedure. An effective duality-based solution approach is proposed in this paper to handle the issue of price multiplicity. Once the optimal market-clearing dispatch is known, we propose the subsequent solution of a simple pricing problem in order to determine the vector of locational marginal prices. Unlike previously reported methodologies, the proposed approach presents two salient features: 1) it is based on sound mathematical programming, and 2) it is computationally inexpensive since it relies on the solution of a linear program. Numerical results are provided to illustrate the performance of the proposed tool.
Keywords :
load dispatching; optimisation; power markets; pricing; effective duality-based solution approach; linear program; locational marginal prices multiple vectors; marginal pricing; market participants; network-constrained pool-based electricity markets; optimal market-clearing dispatch solution; optimization-based approach; price multiplicity; pricing problem; salient features; sound mathematical programming; Duality theory; electricity auctions; locational marginal prices; mathematical programming; price multiplicity;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2013.2267213
Filename :
6552218
Link To Document :
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