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Technical and economic evaluation of voltage level in transmission network expansion planning using GA

Transmission network expansion planning is an important part of power system planning. Its task is to determine an optimal network configuration according to load growth. It determines where, when and how many new transmission lines should be installed. Up to now, various methods have been presented...

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Published in:Energy conversion and management 2008-05, Vol.49 (5), p.1119-1125
Main Authors: Jalilzadeh, S., Kazemi, A., Shayeghi, H., Madavi, M.
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description Transmission network expansion planning is an important part of power system planning. Its task is to determine an optimal network configuration according to load growth. It determines where, when and how many new transmission lines should be installed. Up to now, various methods have been presented to solve the static transmission network expansion planning (STNEP) problem, but in all of these methods, the STNEP problem has been solved regardless of voltage level of the lines. In this paper, due to different voltage levels in the transmission network, which cause different annual losses, STNEP has been studied considering the voltage level of the transmission lines and the network loss using the genetic algorithm (GA). Finally, the proposed idea has been examined on Garvers 6 bus network. The results show that considering the loss in a network with different voltage levels decreases the operational costs considerably, and the network satisfies the requirement of delivering electric power more safely and reliably to load centers.
doi_str_mv 10.1016/j.enconman.2007.09.013
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source ScienceDirect Journals
subjects Applied sciences
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Genetic algorithm
Miscellaneous
Operation. Load control. Reliability
Power networks and lines
Power system
Transmission network expansion planning
Voltage level
title Technical and economic evaluation of voltage level in transmission network expansion planning using GA
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