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Optimal allocation of multi-type FACTS controllers for optimal power flow using hybrid PSO/SA |
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| รหัสดีโอไอ | |
| Creator | Suppakarn Chansareewittaya |
| Title | Optimal allocation of multi-type FACTS controllers for optimal power flow using hybrid PSO/SA |
| Publisher | Nakhon Pathom Rajabhat University |
| Publication Year | 2560 |
| Journal Title | Journal of Thai Interdisciplinary Research |
| Journal Vol. | Vol.12 |
| Journal No. | No.6 |
| Page no. | 15 |
| Keyword | FACTS controller, optimal power flow, evolutionary programming, particle swarm optimization, simulated annealing |
| URL Website | www.rdi.npru.ac.th |
| Website title | วารสารวิจัยสหวิทยาการไทย |
| ISSN | 2465-3837 |
| Abstract | In this paper, the new hybrid algorithm based on hybrid particle swarm optimization (hybrid-PSO), and Simulated Annealing (SA) is developed. Hybrid PSO/SA is proposed to determine the optimal allocation of multi-type flexible AC transmission system (FACTS) controllers for solving the optimal power flow (OPF) in power systems. The aim of this proposal is to merge their advantages for improving the step over performance from the local area of search space. The objective function is to maximize the power transfer capability without violating system constraints in electrical power system. The particular optimal allocation includes optimal types, locations, and parameter settings. Four types of FACTS controllers consist of thyristor-controlled series capacitor (TCSC), thyristor-controlled phase shifter (TCPS), static var compensator (SVC), and unified power flow controller (UPFC). Test result on IEEE 30-bus system indicates that optimally placed OPF with FACTS controllers by the hybrid PSO/SA provides effective the higher power transfer capability more than those from EP, conventional PSO, and hybrid-PSO. |
