MOPSO approach for FACTS device installation in power system
This paper presents an approach to sigma multiobjective optimization particle swarm (o-MOPSO) technique for optimal allocation of Flexible AC Transmission System (FACTS) devices. For this study, Static Var Compensator (SVC) is selected as a compensation device. Proposal o-MOPSO technique has been im...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4033/ http://eprints.uthm.edu.my/4033/1/1569738897.pdf |
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| Summary: | This paper presents an approach to sigma multiobjective
optimization particle swarm (o-MOPSO) technique for
optimal allocation of Flexible AC Transmission System (FACTS) devices. For this study, Static Var Compensator (SVC) is selected as a compensation device. Proposal o-MOPSO technique has been implemented to minimize the transmission losses and the cost of investment in the system. Simulations performed on standard IEEE RTS 30-bus and IEEE 118-bus RTS. Results are compared with those obtained from the programming of multiobjective evolutionary technique (MOEP) in order to highlight its advantages. |
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