Optimal service restoration and reconfiguration of network using Genetic-Tabu algorithm |
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| Affiliation: | 1. Department of Electrical Engineering, Hanyang University, Seoul, 133-791, Korea;2. Korea Electric Power Research Institute, Daejun, Korea;3. Department of Electrical Engineering, Texas A&M University, College Station, TX 77843, USA;1. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), Ministry of Education of China, Tianjin, 300072, China;2. State Grid Tianjin Electric Power Company, Tianjin, 300010, China;3. China Electric Power Research Institute, Beijing, 100192, China;1. Nanyang Technological University, Singapore 639798, Singapore;2. Northeastern University, Boston, MA 02215, USA;3. DNV GL, Singapore;7. Electrical Engineering and Computer Science Dept., University of California-Irvine, Irvine, CA, 92697, USA |
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| Abstract: | This paper represents an approach for service restoration and optimal reconfiguration of distribution network using Genetic algorithm (GA) and Tabu search (TS) method. Restoration and reconfiguration problems in distribution network are difficult to solve within feasible times, because the distribution network is so complicated with the combination of many tie-line switches and sectionalizing switches and also has to satisfy radial operation conditions and reliability indices. Therefore, this paper applied Genetic-Tabu algorithm (GTA) to find optimum value with reasonable computation time. The Genetic-Tabu algorithm is a Tabu search combined with Genetic algorithm to find a global solution. The case studies with 7-feeder model showed that not only the loss reduction but also the reliability should be considered at the same time to achieve the optimal service restoration and reconfiguration in the distribution network. |
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