International Journal of Engineering Research in Electrical and Electronic Engineering(IJEREEE)

Monthly Journal for Electrical and Electronic Engineering

International Journal of Engineering Research in Electrical and Electronic Engineering

Volume2 ,December 2015.

Volume2,December 2015,

Topic : Optimal Rescheduling Of Generators For Relieving Transmission Congestion Based On Appso

Authors:A.Manoj Kumar || J.Sreenivasulu

Abstract:One of the major operating challenges in the deregulated electric power industry is the Transmission Congestion. Congestion occurs when there is an insufficient transmission capacity to simultaneously accommodate all requests for transmission service within a region. To relieve this Congestion we use rescheduling of the generator active power outputs. But all the generators may not be taking part in this process. Participating generators are optimally selected based on the generator sensitivity factor. In the literature, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) is used for minimizing rescheduling cost of the generators, where as in the proposed method Anti Predatory Particle Swarm Optimization technique (APPSO) is used for minimizing rescheduling cost of the generators. The proposed method was developed on IEEE standard 30 bus and 57 bus test systems in MATLAB software environment..

Keywords: Genetic Algorithm, Congestion Management (CM), Transmission System Overload, Anti Predatory Particle Swarm Optimization, Generator Sensitivity Factor

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DOI: 01.1617/vol1iss10pid036


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Editor-in-Chief

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Editor-in-Chief
Dr.Krzysztof Chwastek
Associate Professor,
Czestochowa University of Technology, Polland.


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IMPACT FACTOR: 3.784

ISSN(Online): 2395-2717

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Journal Code : IJEREEE
Electronic ISSN : 2395-2717
Impact Factor : 3.784
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