Interruptible load contracts implementation in stochastic security constrained unit commitment

Bozorg, Mokhtar (Center of Excellence in Power System Management and Control, Department of Electrical Engineering Sharif University of Technology Tehran, Iran) ; Hajipour, Ehsan (Center of Excellence in Power System Management and Control, Department of Electrical Engineering Sharif University of Technology Tehran, Iran) ; Hamid Hosseini, Seyed (Center of Excellence in Power System Management and Control, Department of Electrical Engineering Sharif University of Technology Tehran, Iran)

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.


Note: BOZORG, Mokhtar est chercheur à la HES-SO, HEIG-VD, depuis 2017.


Keywords:
Conference Type:
published full paper
Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
IESE - Institut d'Energie et Systèmes Electriques
Subject(s):
Ingénierie
Publisher:
Singapore, 14-17 June 2010
Date:
2010-06
Singapore
14-17 June 2010
Pagination:
6 p.
Published in:
Proceedings of the IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems 2010
DOI:
ISBN:
978-1-4244-5720-5
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2021-07-12, last modified 2021-07-16

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