DocumentCode
1536536
Title
Probabilistic security analysis of bilateral transactions in a deregulated environment
Author
Cheng, John W M ; McGillis, Donald T. ; Galiana, Francisco D.
Author_Institution
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Volume
14
Issue
3
fYear
1999
fDate
8/1/1999 12:00:00 AM
Firstpage
1153
Lastpage
1159
Abstract
This paper addresses one of the most critical questions in power system operation and planning in a deregulated environment, namely, how to evaluate an electricity transaction on the basis of system security, especially when numerous transactions have to be processed simultaneously. From a planning perspective, the question of how to identify the most suitable reinforcements needed to maintain system security so that all entities (e.g. producers, consumers and traders etc.) can have equal opportunity to buy or sell is also addressed. Monte Carlo simulations are used to construct a large population of random bilateral transaction matrices (BTM) simulating the market activities. Quantitative measures, termed the probabilities of secure transactions (POST), are derived from the simulation results to analyze the feasibility of transactions in terms of security. The impact of firm contracts on system security as measured by POST is also studied under different operating and planning scenarios
Keywords
Monte Carlo methods; electricity supply industry; power system security; probability; Monte Carlo simulations; bilateral transactions; deregulated electricity environment; firm contracts; market activities; power system operation; power system planning; probabilistic security analysis; probabilities of secure transactions; random bilateral transaction matrices; Analytical models; Contracts; Electricity supply industry deregulation; Equal opportunities; Power & Energy Society; Power generation; Power markets; Power system planning; Power system security; Process planning;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.780948
Filename
780948
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