Year 2020, Volume 16 , Issue 3, Pages 307 - 321 2020-09-29

Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)

Mahmut SAYAR [1] , Hilmi YÜKSEL [2]


Electricity distribution networks are critical to the delivery of energy and the continuity of the economy. The healthy and efficient operation of these networks depends on the prediction of failures, their early detection and the rapid recovery of the resulting failures. The causes of failure are internal and external factors. Many studies in different sectors that use different techniques for failure prediction in the literature. The use of artificial intelligence techniques, which are becoming increasingly important today, in failure estimates; in terms of estimation success and effectiveness, it brings many privileges compared to other techniques. In this study, a status prediction model has been developed by using artificial neural network (ANN) technique for power outages and healthy working conditions of the electricity distribution network installed in Salihli district of Manisa province. In previous studies, using artificial intelligence techniques in the energy sector generally focused on one component of network, lifetime, energy demand estimation, battery life and goods failures. The effect of meteorological factors has not been studied on the distribution network situation using artificial intelligence techniques. In this study we use hourly power outages and hourly meteorological factors that cause failures or healthy conditions. It is aimed to effective risk management and make anticipation of power outage occurring in electricity transmission network, to make preventive maintenance for failures, to make suggestions for early intervention and shortening downtime and maintenance.
Production and Service Systems, Operations Management, Artificial Intelligence, Electric Power Distribution Network, Fault Diagnosis, Risk Management, Reliability
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Primary Language en
Subjects Engineering
Journal Section Articles
Authors

Orcid: 0000-0002-1852-6276
Author: Mahmut SAYAR (Primary Author)
Institution: DOKUZ EYLUL UNIVERSITY
Country: Turkey


Author: Hilmi YÜKSEL
Institution: DOKUZ EYLUL UNIVERSITY
Country: Turkey


Dates

Acceptance Date : August 18, 2020
Publication Date : September 29, 2020

Bibtex @research article { cbayarfbe740343, journal = {Celal Bayar University Journal of Science}, issn = {1305-130X}, eissn = {1305-1385}, address = {}, publisher = {Celal Bayar University}, year = {2020}, volume = {16}, pages = {307 - 321}, doi = {10.18466/cbayarfbe.740343}, title = {Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)}, key = {cite}, author = {Sayar, Mahmut and Yüksel, Hilmi} }
APA Sayar, M , Yüksel, H . (2020). Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey) . Celal Bayar University Journal of Science , 16 (3) , 307-321 . DOI: 10.18466/cbayarfbe.740343
MLA Sayar, M , Yüksel, H . "Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)" . Celal Bayar University Journal of Science 16 (2020 ): 307-321 <https://dergipark.org.tr/en/pub/cbayarfbe/issue/56964/740343>
Chicago Sayar, M , Yüksel, H . "Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)". Celal Bayar University Journal of Science 16 (2020 ): 307-321
RIS TY - JOUR T1 - Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey) AU - Mahmut Sayar , Hilmi Yüksel Y1 - 2020 PY - 2020 N1 - doi: 10.18466/cbayarfbe.740343 DO - 10.18466/cbayarfbe.740343 T2 - Celal Bayar University Journal of Science JF - Journal JO - JOR SP - 307 EP - 321 VL - 16 IS - 3 SN - 1305-130X-1305-1385 M3 - doi: 10.18466/cbayarfbe.740343 UR - https://doi.org/10.18466/cbayarfbe.740343 Y2 - 2020 ER -
EndNote %0 Celal Bayar Üniversitesi Fen Bilimleri Dergisi Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey) %A Mahmut Sayar , Hilmi Yüksel %T Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey) %D 2020 %J Celal Bayar University Journal of Science %P 1305-130X-1305-1385 %V 16 %N 3 %R doi: 10.18466/cbayarfbe.740343 %U 10.18466/cbayarfbe.740343
ISNAD Sayar, Mahmut , Yüksel, Hilmi . "Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)". Celal Bayar University Journal of Science 16 / 3 (September 2020): 307-321 . https://doi.org/10.18466/cbayarfbe.740343
AMA Sayar M , Yüksel H . Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey). Celal Bayar Univ J Sci. 2020; 16(3): 307-321.
Vancouver Sayar M , Yüksel H . Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey). Celal Bayar University Journal of Science. 2020; 16(3): 307-321.