Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18344
Title: Modelling and evaluation of interruptible-load programmes in electricity markets
Authors: Yu, CW
Zhang, S
Chung, TS
Wong, KP
Issue Date: 2005
Publisher: The Institution of Engineering and Technology
Source: IEE proceedings. Generation, transmission, and distribution, 2005, v. 152, no. 5, p. 581-588 How to cite?
Journal: IEE proceedings. Generation, transmission, and distribution 
Abstract: Achieving higher system reliability using market-based approaches is a contemporary issue that has been attracting a great deal of attention in the emerging deregulated electricity-market structure. The paper presents a methodology for the modelling and evaluation of interruptible-load programmes to tackle this issue. The interruptible-load programme is formulated as an equivalent price-based generating resource with a random outage effect, and is thus incorporated in a probabilistic production simulation of a system. The interdependence between the electricity spot-market price and the equivalent generating-resource parameters is addressed and solved by an iterative co-ordinating algorithm. The proposed approach is capable of achieving comprehensive evaluations and systematic decision making for the interruptible load programme in electricity-market operation. A numerical-case-study example is presented to illustrate the validity of the method. The results reveal that interruptible-load programmes can serve effectively as a market-based tool to achieve a proper balance between generation-capacity reliability and economics in the competitive electricity markets.
URI: http://hdl.handle.net/10397/18344
ISSN: 1350-2360
EISSN: 1751-8695
DOI: 10.1049/ip-gtd:20045138
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

33
Last Week
0
Last month
0
Citations as of Sep 10, 2017

WEB OF SCIENCETM
Citations

19
Last Week
2
Last month
0
Citations as of Sep 15, 2017

Page view(s)

33
Last Week
1
Last month
Checked on Sep 17, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.