Accuracy of Detection and Classification of DC Faults using Levenberg Marquardt Based Back Propagation Algorithm
Sujit Kumar1, Neel Kamal2, Pankaj Kumar3, Aditya Gaur4, Vikash Tiwari5

1Dr. Sujit Kumar*, Department of EEE, NIET, Greater Noida, India.
2Dr. Neel Kamal, Department of EEE, NIET, Greater Noida, India.
3Dr. Pankaj Kumar Power, System Consulting Engineer, Mumbai, India. E-
4Mr. Aditya Gaur, Department of EEE, NIET, Greater Noida, India.
5Mr. Vikash Tiwari, Department of Electrical & Electronics Engineering, Noida Institute of Engineering &Technology, Greater Noida, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on April 10, 2020. | PP: 289–294 | Volume-9 Issue-6, April 2020. | Retrieval Number: E3125039520/2020©BEIESP | DOI: 10.35940/ijitee.E3125.049620
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: Vitality is seen as a prime administrator in the time of wealth and a vital figure budgetary headway. Obliged fossil resources and natural issues associated with them have underscored the necessity for new reasonable vitality supply choices that uses sustainable power sources. Among open developments for essentialness age from solar dependent sources, the photovoltaic system might give a gigantic pledge to develop a progressively feasible imperativeness structure. This paper presents accuracy of detecting DC faults in a photovoltaic (PV) framework based on Levenberg – Marquardt (LM) neural network. The result showed that this model based on LM neural network is effectual to grip doubts and nonlinearities of DC side faults in PV module without using mathematical model. All probable faults in DC side of PV system are obtained over 100 kW plant. It is discovered that the proposed framework has demonstrated its integrity for the pragmatic applications. 
Keywords: Levenberg – Marquardt (LM) neural network, 100 kW PV array, 11 kV grid, DC side Faults, Grid connected PV system.
Scope of the Article: Parallel and Distributed Algorithms.