Distribution network reconfiguration based on artificial networkreconfiguration for variable load profile

Authors

HESHAM HANIE YOUSSEF
HAZLIE BIN MOKHLIS
MOHAMAD SOFIAN ABU TALIP
MOHAMMAD ALSAMMAN
MUNIR AZAM MUHAMMAD
NURULAFIQAH NADZIRAH MANSOR

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