DocumentCode
1180454
Title
A Comparative Analysis of Congestion Management Schemes under a Unified Framework
Author
Bompard, Ettore ; Correia, P. ; Gross, G. ; Amelin, Mikael
Author_Institution
Politecnico Di Torino, Italy; University of Illinois at Urbana-Champaign, USA; Royal Institute of Technology, Sweden
Volume
22
Issue
11
fYear
2002
Firstpage
59
Lastpage
60
Abstract
The restructuring of the electricity industry has spawned the introduction of new independent grid operators or IGOs, typically called transmission system operators (TSO), independent system operator (ISO) or regional transmission organizations (RTO), in various parts of the world. An important task of an IGO is congestion management (CM) and pricing. This activity has significant economic implications on every market participant in the IGO´s region. The paper briefly reviews the congestion management schemes and the associated pricing mechanism used by the IGO´s in five representative schemes. These were selected to Illustrate the various CM approaches in use: England and Wales, Norway, Sweden, PJM and Califomia. We develop a unified framework for the mathematical representation of the market dispatch and redispatch problems that the IGO must solve in CM in these various jurisdictions. We use this unified framework to develop meaningful metrics to compare the various CM approaches so as to assess their efficiency and the effectiveness of the market signals provided to the market participants. We compare, using a small test system, side by side, the performance of these schemes.
Keywords
Electricity supply industry; Energy management; Genetic mutations; Genetic programming; Power generation economics; Power system economics; Power system management; Pricing; Simulated annealing; System testing; Congestion management and pricing; congestion redispatch; economic signals; market dispatch; optimum power flow;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/MPER.2002.4311837
Filename
4311837
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