Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm
This paper presents a novel technique for optimizing the FACTS devices, so as to maintain the voltage stability in the power transmission systems. Here, the particle swarm optimization algorithm (PSO) and the adaptive gravitational search algorithm (GSA) technique are proposed for improving the volt...
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| Format: | Article |
| Language: | English |
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Elsevier
2016-09-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098616000173 |
| _version_ | 1818987106853191680 |
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| author | Sai Ram Inkollu Venkata Reddy Kota |
| author_facet | Sai Ram Inkollu Venkata Reddy Kota |
| author_sort | Sai Ram Inkollu |
| collection | DOAJ |
| description | This paper presents a novel technique for optimizing the FACTS devices, so as to maintain the voltage stability in the power transmission systems. Here, the particle swarm optimization algorithm (PSO) and the adaptive gravitational search algorithm (GSA) technique are proposed for improving the voltage stability of the power transmission systems. In the proposed approach, the PSO algorithm is used for optimizing the gravitational constant and to improve the searching performance of the GSA. Using the proposed technique, the optimal settings of the FACTS devices are determined. The proposed algorithm is an effective method for finding out the optimal location and the sizing of the FACTS controllers. The optimal locations and the power ratings of the FACTS devices are determined based on the voltage collapse rating as well as the power loss of the system. Here, two FACTS devices are used to evaluate the performance of the proposed algorithm, namely, the unified power flow controller (UPFC) and the interline power flow controller (IPFC). The Newton–Raphson load flow study is used for analyzing the power flow in the transmission system. From the power flow analysis, bus voltages, active power, reactive power, and power loss of the transmission systems are determined. Then, the voltage stability is enhanced while satisfying a given set of operating and physical constraints. The proposed technique is implemented in the MATLAB platform and consequently, its performance is evaluated and compared with the existing GA based GSA hybrid technique. The performance of the proposed technique is tested with the benchmark system of IEEE 30 bus using two FACTS devices such as, the UPFC and the IPFC. |
| first_indexed | 2024-12-20T19:01:25Z |
| format | Article |
| id | doaj.art-9dea428b57734a609d478385c20d1979 |
| institution | Directory Open Access Journal |
| issn | 2215-0986 |
| language | English |
| last_indexed | 2024-12-20T19:01:25Z |
| publishDate | 2016-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj.art-9dea428b57734a609d478385c20d19792022-12-21T19:29:23ZengElsevierEngineering Science and Technology, an International Journal2215-09862016-09-011931166117610.1016/j.jestch.2016.01.011Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithmSai Ram Inkollu0Venkata Reddy Kota1Department of Electrical & Electronics Engineering, Dhanekula Institute of Engineering & Technology, Vijayawada 521 139, Andhra Pradesh, IndiaDepartment of E.E.E, Additional Controller of Examinations, Jawaharlal Nehru Technological University, Kakinada 533003, Andhra Pradesh, IndiaThis paper presents a novel technique for optimizing the FACTS devices, so as to maintain the voltage stability in the power transmission systems. Here, the particle swarm optimization algorithm (PSO) and the adaptive gravitational search algorithm (GSA) technique are proposed for improving the voltage stability of the power transmission systems. In the proposed approach, the PSO algorithm is used for optimizing the gravitational constant and to improve the searching performance of the GSA. Using the proposed technique, the optimal settings of the FACTS devices are determined. The proposed algorithm is an effective method for finding out the optimal location and the sizing of the FACTS controllers. The optimal locations and the power ratings of the FACTS devices are determined based on the voltage collapse rating as well as the power loss of the system. Here, two FACTS devices are used to evaluate the performance of the proposed algorithm, namely, the unified power flow controller (UPFC) and the interline power flow controller (IPFC). The Newton–Raphson load flow study is used for analyzing the power flow in the transmission system. From the power flow analysis, bus voltages, active power, reactive power, and power loss of the transmission systems are determined. Then, the voltage stability is enhanced while satisfying a given set of operating and physical constraints. The proposed technique is implemented in the MATLAB platform and consequently, its performance is evaluated and compared with the existing GA based GSA hybrid technique. The performance of the proposed technique is tested with the benchmark system of IEEE 30 bus using two FACTS devices such as, the UPFC and the IPFC.http://www.sciencedirect.com/science/article/pii/S2215098616000173PSOAdaptive GSAFACTS devicesOptimal locationStability and power loss |
| spellingShingle | Sai Ram Inkollu Venkata Reddy Kota Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm Engineering Science and Technology, an International Journal PSO Adaptive GSA FACTS devices Optimal location Stability and power loss |
| title | Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm |
| title_full | Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm |
| title_fullStr | Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm |
| title_full_unstemmed | Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm |
| title_short | Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm |
| title_sort | optimal setting of facts devices for voltage stability improvement using pso adaptive gsa hybrid algorithm |
| topic | PSO Adaptive GSA FACTS devices Optimal location Stability and power loss |
| url | http://www.sciencedirect.com/science/article/pii/S2215098616000173 |
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