Title | ||
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Distribution network reconfiguration based on artificial network reconfiguration for variable load profile |
Abstract | ||
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Network reconfiguration is a process to change the open-switches in distribution system for a minimum power loss. In the past, metaheuristic techniques were applied widely for network reconfiguration with consideration of a fixed loading profile. When the loading changes, the current configuration may not be the optimal one. Thus, the technique needs to be executed to find a new optimal configuration based on the latest loading. The process is time-consuming since metaheuristic techniques commonly require high computational times and produces inconsistent results. Therefore, this paper proposes a network reconfiguration technique based on artificial neural network (ANN) for variable loading conditions. The proposed ANN model is tested on IEEE 33-bus, IEEE 69-bus, and IEEE-118 bus systems. The test results indicate the efficiency of the proposed technique in three aspects: processing time, simple structure, and high accuracy. |
Year | DOI | Venue |
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2020 | 10.3906/elk-1912-89 | TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES |
Keywords | DocType | Volume |
Distribution system,network reconfiguration,artificial neural networks,evolutionary programming | Journal | 28 |
Issue | ISSN | Citations |
5.0 | 1300-0632 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hesham Hanie Youssef | 1 | 0 | 0.34 |
Hazlie Mokhlis | 2 | 22 | 10.12 |
Mohamad Sofian Abu Talip | 3 | 4 | 2.90 |
Mohammad Al Samman | 4 | 0 | 0.34 |
Munir Azam Muhammad | 5 | 0 | 0.34 |
Nurulafiqah Nadzirah Mansor | 6 | 0 | 0.34 |