KULIEV, YUSUP (2012) CONGESTION MANAGEMENT OF A DEREGULATED POWER SYSTEM USING FACTS DEVICES. [Final Year Project]
FINAL_YEAR_PROJECT,_Yusup_Kuliev.pdf
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Abstract
With the unbundling of power generation, transmission and distribution system, the likelihood of congestion in the transmission lines is greatly increased. Deregulated market need to develop a competitive electricity system that must determine prices that equate the demand and supply. Almost all system variables obtained from load flow solutions are utilized as an input to the neural network. There are several approaches to managing and preventing the occurrence of congestion in a deregulated power system. The usage of Neural Network as one of the methods to manage congestion in a deregulated power system is discussed in this report.
Item Type: | Final Year Project |
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Departments / MOR / COE: | Engineering > Electrical and Electronic |
Depositing User: | Users 1278 not found. |
Date Deposited: | 02 Oct 2012 15:56 |
Last Modified: | 25 Jan 2017 09:40 |
URI: | http://utpedia.utp.edu.my/id/eprint/3823 |