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Showing Abstract of IMPROVING VOLTAGE PROFILE AND REDUCING LOSS IN POWER DISTRIBUTION SYSTEM CONSIDERING DISTRIBUTED GENERATIONS AND CAPACITOR BANKS

 
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[ Downloads: 3 | Abstract Viewed: 967 | Pages: 5 ]

Title

IMPROVING VOLTAGE PROFILE AND REDUCING LOSS IN POWER DISTRIBUTION SYSTEM CONSIDERING DISTRIBUTED GENERATIONS AND CAPACITOR BANKS

Topic: ELECTRIC POWER SYSTEMS OPERATION, CONTROL AND MANAGEMENT Published Year: 1389
Presentation:
Published in:

[ 6th International conference on Technical and Physical Problems of Power Engineering ]

Original Language: English Full Text Size: Not Available

 

Abstract of the Article

 

Note: English CIVILICA is in its Trial Period so Full Texts can not be provided! Persian users can download it here

Download This article in PDF format IMPROVING VOLTAGE PROFILE AND REDUCING LOSS IN POWER DISTRIBUTION SYSTEM CONSIDERING DISTRIBUTED GENERATIONS AND CAPACITOR BANKS

 

Authors:

[ A Rashtchizadeh ] - Azarbaijan Higher Education and Research Complex, Tabriz, Iran
[ F Fattahi ] - University of Applied Science and Technology, East Azarbaijan Branch, Tabriz, Iran
[ N Rahmanov ] - Azerbaijan National Academy of Sciences, Baku, Azerbaijan
[ K Ramazanov ] - Azerbaijan National Academy of Sciences, Baku, Azerbaijan

 

Abstract:

Power losses and voltage drop are always major concerns to electricity utility. Study about the methods to reduce power loss and improve voltage profile has been carried for many years. This paper presents a method for the optimal sitting and sizing of Element in a global distribution system for improving voltage profile and reducing loss in network Genetic Algorithm (GA) was used as the solving tool, which referring two determined aim; the problem is defined and objective function is introduced. Considering to fitness values sensitivity in genetic algorithm process, there is needed to apply load flow for decision-making. Load flow algorithm is combined appropriately with GA, till access to acceptable results of this operation

 

Keywords:

Distributed Generation, Allocation, CapacitorBanks, Voltage Profile, Loss, Genetic Algorithm.

 

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