VSI improvement using SVC with aid of a modified lightning search algorithm
This paper proposes an improved metaheuristic optimization technique to solve the problem of optimal location and sizing of static var compensator (SVC) in a complex power system. The main objective of this research is to achieve minimum Voltage Stability Index (VSI) after installing the three units...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95909/ http://dx.doi.org/10.1109/ICPEA51500.2021.9417857 |
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| Summary: | This paper proposes an improved metaheuristic optimization technique to solve the problem of optimal location and sizing of static var compensator (SVC) in a complex power system. The main objective of this research is to achieve minimum Voltage Stability Index (VSI) after installing the three units of SVC optimally by using Modified Lightning Search Algorithm (MLSA) technique. MLSA technique is used to find the best location and sizing for the multiple SVC units. MLSA technique basically enhances Lightning Search Algorithm (LSA) which was inspired by the lightning strike phenomenon. In mathematical analysis, it is proved that MLSA give superior solution in 10 nonlinear mathematical benchmark functions compared to another algorithm including LSA. Next, the effectiveness of MLSA technique is demonstrated on IEEE 30-bus test system together with the three SVC units. From the analysis, MLSA gives better result especially in average, median and minimum VSI. Thus, it can be concluded that MLSA is a superior method in solving numerical optimization problem especially for optimal location and sizing of SVC. The optimization technique using MLSA proposed in this paper is useful for power system designers who require consistent and accurate location and sizing of SVC in real power system application. |
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