Information gap decision theory approach to deal with wind power uncertainty in unit commitment

Files in This Item:
Access to this item has been restricted by the copyright holder until:2019-04-01
File Description SizeFormat 
EPSR_-_R2.pdf435.3 kBAdobe PDFDownload    Request a copy
Title: Information gap decision theory approach to deal with wind power uncertainty in unit commitment
Authors: Soroudi, Alireza
Rabiee, Abbas
Keane, Andrew
Permanent link: http://hdl.handle.net/10197/8285
Date: Apr-2017
Abstract: The renewable energy sources (RES) integration in the electricity supply utilities can reduce the energy procurement costs as well as the environmental concerns. Wind power is the most popular form of RES which is vastly utilized worldwide. This paper proposes a robust model for unit commitment (UC) problem, minimizing the operating costs considering uncertainty of wind power generation. In order to handle the uncertainties arising from volatile nature of wind power, information gap decision theory (IGDT) is utilized, where risk averse (RA) and opportunity seeker (OS) strategies are developed. RA strategy gives a robust decision making tool for handling the severe uncertainty of wind power, whereas the OS strategy makes benefit of possible uncertainties by adjusting the decision variables in a right way. Besides, the impact of demand flexibility (or demand response) on the operation costs is also investigated. The proposed model is examined on the IEEE 118-bus test system, and its benefits over the existing stochastic programming technique is examined. The obtained results demonstrate the applicability of the proposed method to deal with the UC problem with uncertain wind power generation. It is also observed that demand flexibility has positive impacts in both RA and OS strategies.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2017 Elsevier
Keywords: Power system;Wind;Uncertainty;Decision making;Risk analysis;Demand response;Transmission network
DOI: 10.1016/j.epsr.2017.01.001
Language: en
Status of Item: Peer reviewed
Appears in Collections:Electrical and Electronic Engineering Research Collection
Energy Institute Research Collection

Show full item record

SCOPUSTM   
Citations 50

6
Last Week
1
Last month
checked on Jun 23, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.