Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique
Increment of load demands will cause voltage decay in the system which may lead to voltage collapse and increase thermal effect to transmission line in the system. Thus, reactive power support is one of the alternative available schemes that can be performed to the system other than employing instal...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/6571/1/Operating_Generator_Selection_Applied_For_Reactive_Power_Dispatched_Using_Evolutionary_Programming_Technique.pdf http://umpir.ump.edu.my/id/eprint/6571/ http://dx.doi.org/10.1109/PEOCO.2013.6564615 |
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Summary: | Increment of load demands will cause voltage decay in the system which may lead to voltage collapse and increase thermal effect to transmission line in the system. Thus, reactive power support is one of the alternative available schemes that can be performed to the system other than employing installing compensating devices. One of the choices is optimal reactive power dispatched (RPD). Operating all generators for performing reactive power support to a power system may lead to non-economical results which is rather unnecessary. Therefore, effort should be taken in order to avoid all generators from full operational in the attempt to raise the voltage level and improve the voltage stability condition in the system. This paper presents a new approach for selecting the operating generator performed optimally using Evolutionary Programming (EP) technique in power system. The proposed technique determines the best combination of generator that should be dispatched in the system considering loss minimization or voltage stability improvement. Implementation on the proposed technique was realized on the IEEE 30-bus RTS. Complete implementations on numerous combinations have been conducted and results indicated that the proposed technique revealed the best combination of the operating generators for improving voltage stability in the system. |
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