Turkish Journal of Electrical Engineering and Computer Sciences
Article Title
DOI
10.3906/elk-1912-89
Abstract
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.
Keywords
Distribution system, network reconfiguration, artificial neural networks, evolutionary programming
First Page
3013
Last Page
3035
Recommended Citation
YOUSSEF, HESHAM HANIE; MOKHLIS, HAZLIE BIN; TALIP, MOHAMAD SOFIAN ABU; ALSAMMAN, MOHAMMAD; MUHAMMAD, MUNIR AZAM; and MANSOR, NURULAFIQAH NADZIRAH
(2020)
"Distribution network reconfiguration based on artificial networkreconfiguration for variable load profile,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 28:
No.
5, Article 42.
https://doi.org/10.3906/elk-1912-89
Available at:
https://journals.tubitak.gov.tr/elektrik/vol28/iss5/42
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons
