NDLI: Coordination in markets with nonconvexities as a mathematical program with equilibrium constraints-Part II: case studies

Content Provider	IEEE Xplore Digital Library
Author	Motto, A.L. Galiana, F.D.
Copyright Year	1969
Abstract	This paper is the second of a two-paper series. It is concerned with the numerical study of the solution procedure derived in to solve the coordination problem that arises in a new equilibrium model , which for the purpose of this presentation applies to a static (no-time coupling costs or constraints) electricity pool market with price inelastic demand and no network. The new equilibrium model has the following main properties: i) every scheduled generator satisfies its minimum surplus (or bid profit) condition; ii) the energy price is a system marginal cost (a Lagrange multiplier associated with the power balance constraint in the related economic dispatch problem where all of the discrete variables are fixed to their optimal values); iii) the power balance and all of the generators' technical constraints are satisfied. We present some numerical results based on three test systems: a simple three-generating unit system that can be solved by hand, a 32-generating unit system that consists of piecewise linear offer curves, and a large system of 768 generating units with monotone and nonmonotone, piecewise linear offer curves, some of which are set as must-run units. The results demonstrate that the proposed procedure is more efficient than a heuristic approach, both in terms of solution quality and computational efficiency.
Sponsorship	IEEE Power Engineering Society
Starting Page	317
Ending Page	324
Page Count	8
File Size	157364
File Format	PDF
ISSN	08858950
Volume Number	19
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer aided software engineering Production Power generation Power generation economics Power system modeling Lagrangian functions Piecewise linear techniques Cost function Power system economics System testing
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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