Optimal load curtailment using multi-objective fuzzy linear programming method

In this paper, the optimal load curtailment (OLC) problem is formulated as a multi‐objective optimization framework, which objectives include maximizing the security margin and minimizing the cost incurred for load curtailment. A new and comprehensive multi‐objective fuzzy linear programming (MFLP)...

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Bibliographic Details
Published in:European transactions on electrical power Vol. 20; no. 8; pp. 1025 - 1039
Main Authors: Liu, Sige, Fan, Mingtian, Zhou, Xiaoxin, Cheng, Haozhong
Format: Journal Article
Language:English
Published: Chichester, UK John Wiley & Sons, Ltd 01.11.2010
Wiley
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ISSN:1430-144X, 1546-3109, 1546-3109
Online Access:Get full text
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Summary:In this paper, the optimal load curtailment (OLC) problem is formulated as a multi‐objective optimization framework, which objectives include maximizing the security margin and minimizing the cost incurred for load curtailment. A new and comprehensive multi‐objective fuzzy linear programming (MFLP) method is developed to solve this presented OLC model. Using the MFLP method, objectives and constrains of the OLC model are fuzzied and their enforcements are maximized. The MFLP model can deal with the uncertainties that exist in certain variables and overcome the limitations of minor constraint violations in normal LP model. The effectiveness of the developed method is tested on the modified IEEE 30 bus system and the IEEE 118 bus system. Copyright © 2009 John Wiley & Sons, Ltd.
Bibliography:ark:/67375/WNG-NZ6XKPGN-F
ArticleID:ETEP382
istex:4620D38BF8C50BE3F8DA705ABAE9AA2C943ECA05
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1430-144X
1546-3109
1546-3109
DOI:10.1002/etep.382