Optimal Dispatch for Deregulated Power Systems using Fuzzy Logic Decision Making Technique
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2017 by IJETT Journal | ||
| Volume-49 Number-2 |
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| Year of Publication : 2017 | ||
| Authors : Amninder Singh, Shivani Mehta, Chintu Rza |
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| DOI : 10.14445/22315381/IJETT-V49P219 |
Citation
Amninder Singh, Shivani Mehta, Chintu Rza "Optimal Dispatch for Deregulated Power Systems using Fuzzy Logic Decision Making Technique", International Journal of Engineering Trends and Technology (IJETT), V49(2),122-127 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Economic Dispatch (ED) optimization problem is the most important issue which is to be taken into consideration in power systems. In this paper, the economic dispatch problem has been modified to minimization of network congestion. The problem has been sub divided into two parts: (i) minimization of generation cost and (ii) minimization of network congestion; subject to power balance constraints. As the two sub-problems have conflicting objectives, fuzzy decision making multi-objective optimization has been applied to obtain single optimal solution from conflicting objectives of generation cost and network congestion. To the proposed approach, it has been tested on IEEE 57-bus system. The results describe the capability of the proposed approach of reducing network congestion while maintaining economy in the load dispatch...
References
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Keywords
Economic Load Dispatch, Fuzzy Decision Making, Multi-Objective Optimization, Network Congestion.