DocumentCode :
1084320
Title :
Reliability evaluation of hybrid power markets based on multiple transaction matrix and optimal transaction curtailment
Author :
Goel, Lavika ; Viswanath, P.A. ; Wang, Peng
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
Volume :
1
Issue :
1
fYear :
2007
fDate :
1/1/2007 12:00:00 AM
Firstpage :
65
Lastpage :
71
Abstract :
A Monte Carlo simulation technique evaluates the reliability indices of restructured power systems with a hybrid market. A model for optimal transaction curtailment for a contingency state in a hybrid market is developed to incorporate the changes brought about by deregulation. The objective of the contingency optimal transaction curtailment for each individual generation company is to minimise its revenue loss. The problem is formulated as a linear programming problem and solved using an optimisation technique. Customer load curtailment, which is the basic parameter for reliability evaluation, is determined using a load-shedding philosophy which is based on the results of the optimal transaction curtailment by the genco. Supply and demand transactions of the market participants are represented by a transaction matrix. The impact of the firm and nonfirm bilateral and reserve contracts on customer reliabilities have been studied. The technique has been illustrated by application to the IEEE Reliability Test System.
Keywords :
Monte Carlo methods; linear programming; load shedding; power markets; power system reliability; power system simulation; supply and demand; IEEE Reliability Test System; Monte Carlo simulation technique; contingency state; customer load curtailment; deregulation; firm contracts; hybrid power markets; linear programming problem; load-shedding philosophy; multiple transaction matrix; nonfirm bilateral contracts; optimal transaction curtailment; optimisation technique; reliability indices evaluation; reserve contracts; restructured power systems; supply and demand transactions;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd:20050166
Filename :
4082369
Link To Document :
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