DocumentCode :
3253033
Title :
Interruptible load contracts implementation in stochastic security constrained unit commitment
Author :
Bozorg, Mokhtar ; Hajipour, Ehsan ; Hosseini, Seyed Hamid
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear :
2010
fDate :
14-17 June 2010
Firstpage :
796
Lastpage :
801
Abstract :
Providing more choices to customers for determining the cost of their required reliability levels is one of the most important targets of restructured power system. Centralized management of reliability in Vertically Integrated Utility (VIU) applying the same policies to different customers is replaced with decentralized management allowing customers to participate in reliability management based on their required reliability levels. Hence, the importance of implementing interruptible load contracts that specifies each customer´s reliability level has been increased in power system studies. In this paper, stochastic programming based on Monte Carlo approach has been used to implement interruptible load contracts in security constrained unit commitment. The performance of the proposed method is demonstrated by applying it to a 6-bus system.
Keywords :
Monte Carlo methods; power system economics; power system management; power system reliability; stochastic programming; Monte Carlo approach; customer reliability level; interruptible load contracts implementation; power system reliability management; stochastic programming; stochastic security constrained unit commitment; vertically integrated utility; Contracts; Costs; Environmental economics; Fuel economy; Power generation economics; Power system management; Power system reliability; Power system security; Stochastic processes; Uncertainty; Monte Carlo; SCUC; interruptible load; reliability; stochastic programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
Type :
conf
DOI :
10.1109/PMAPS.2010.5528973
Filename :
5528973
Link To Document :
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