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Reseach Article

Multi-Objective Optimization using Linear Membership Function

Published on August 2015 by Gurpreet Kaur, Divesh Kumar, Manminder Kaur
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 2
August 2015
Authors: Gurpreet Kaur, Divesh Kumar, Manminder Kaur
549499c1-db00-4b57-9687-e7c499c21048

Gurpreet Kaur, Divesh Kumar, Manminder Kaur . Multi-Objective Optimization using Linear Membership Function. International Conference on Advancements in Engineering and Technology. ICAET2015, 2 (August 2015), 20-24.

@article{
author = { Gurpreet Kaur, Divesh Kumar, Manminder Kaur },
title = { Multi-Objective Optimization using Linear Membership Function },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 2 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 20-24 },
numpages = 5,
url = { /proceedings/icaet2015/number2/22214-4020/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Gurpreet Kaur
%A Divesh Kumar
%A Manminder Kaur
%T Multi-Objective Optimization using Linear Membership Function
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 2
%P 20-24
%D 2015
%I International Journal of Computer Applications
Abstract

Economic Dispatch (ED) optimization problem is the most important issue which is to be taken into consideration in power systems. The problem of ED in power systems is to plan the power output for each devoted generator unit in such a way that the operating cost is minimized and simultaneously, matching load demand, power operating limits and maintaining stability. In this paper, the traditional economic dispatch problem has been modified to minimize generation cost and line flow. As the two sub-problems have conflicting objectives, fuzzy decision making multi-objective optimization has been applied to get single optimal solution from conflicting objectives of generation cost and line flow. Practicably, it has been tested on IEEE 30-bus system. The results describe the capability of the proposed approach of reducing line flow while maintaining economy in the load dispatch.

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Index Terms

Computer Science
Information Sciences

Keywords

Economic Load Dispatch Fuzzy Decision Making multi-objective Optimization Line Flow.