Abstract:
Minimizing the transmission loss in power system is one of the important issues in power system research these days. Transmission loss can be reduced by installing reacti...Show MoreNotes: As originally published there was an error in this document. The following text was omitted: "ACKNOWLEDGEMENT - The authors would like to acknowledge The Research Management Institute (RMI) UiTM, Shah Alam and Ministry of Higher Education Malaysia (MOHE) for the financial support of this research. This research is supported MOHE under the Exploratory Research Grant Scheme (ERGS) with project code: 600-RMI/ERGS 5/3 (14/2011)."
Metadata
Abstract:
Minimizing the transmission loss in power system is one of the important issues in power system research these days. Transmission loss can be reduced by installing reactive power compensation components. Installing the thyristor controlled series compensator (TCSC) in power system has been known to increase the voltage level in the system and hence reduce the system losses. This paper describes placement and sizing of FACTS devices based on Particle Swarm Optimization for minimization of transmission loss considering voltage profile and cost function. Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which have the potential in solving such a problem. In this study one of FACTS device is used as a scheme for transmission loss. For this study, TCSC is chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. The simulation results are compared with those obtained from the Evolutionary Programming (EP) technique in the attempt to highlight its merit.
Notes: As originally published there was an error in this document. The following text was omitted: "ACKNOWLEDGEMENT - The authors would like to acknowledge The Research Management Institute (RMI) UiTM, Shah Alam and Ministry of Higher Education Malaysia (MOHE) for the financial support of this research. This research is supported MOHE under the Exploratory Research Grant Scheme (ERGS) with project code: 600-RMI/ERGS 5/3 (14/2011)."
Published in: 2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia
Date of Conference: 06-07 June 2012
Date Added to IEEE Xplore: 05 July 2012
ISBN Information:
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