Please use this identifier to cite or link to this item: https://doi.org/10.1049/ip-gtd:19949943
Title: Multiobjective generation scheduling using fuzzy optimal search technique
Authors: Srinivasan, D. 
Chang, C.S. 
Liew, A.G. 
Issue Date: May-1994
Source: Srinivasan, D., Chang, C.S., Liew, A.G. (1994-05). Multiobjective generation scheduling using fuzzy optimal search technique. IEE Proceedings: Generation, Transmission and Distribution 141 (3) : 233-242. ScholarBank@NUS Repository. https://doi.org/10.1049/ip-gtd:19949943
Abstract: A novel multiobjective optimisation technique for dynamic generation scheduling in an interconnected system is presented. A pattern recognition technique is used for assessing the stability of the interconnected system at each load level, and for evaluating the security transfer limits between neighbouring systems. Simulations carried out on a moderately sized interconnected system, containing 19 generating units in the local system, show that this technique is effective in determining the optimal dispatch of generation units, ensuring an appropriate balance between generation and predicted load demand and at the same time improving the stability of the interconnected system. Comparison of results with a classical generation scheduling method shows that use of the proposed fuzzy approach, which includes a larger number of constraints and objectives, results in a much shorter time.
Source Title: IEE Proceedings: Generation, Transmission and Distribution
URI: http://scholarbank.nus.edu.sg/handle/10635/62446
ISSN: 13502360
DOI: 10.1049/ip-gtd:19949943
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

65
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

30
checked on Nov 29, 2017

Page view(s)

23
checked on Dec 11, 2017

Google ScholarTM

Check

Altmetric


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