
Wavelet-Ann Based Fault Location Identification in Micro Gridinter Connected Transmission System
Author(s) -
S. Chandra Shekar*,
G. Ravi Kumar,
S. V. N. L. Lalitha
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3287.098319
Subject(s) - microgrid , fault (geology) , transmission line , fault detection and isolation , wavelet , electric power transmission , transmission (telecommunications) , computer science , grid , transmission system , electric power system , artificial neural network , energy (signal processing) , real time computing , reliability engineering , engineering , power (physics) , renewable energy , electrical engineering , artificial intelligence , telecommunications , mathematics , statistics , physics , geometry , quantum mechanics , seismology , geology , actuator
This paper presents a novel protection scheme for the protection of transmission system with microgrid (MG) having of wind energy, solar PV energy and fuel cell sources. MGs provide environmental, economical benefits for the end consumers, power usages and society. However, transmission line and MGs poses majortechnical challenges. Protection system mustrespond both MG and utility grid failures. Technical challenges of MG protection are to respond to main and MG faults. A MG model is designed and it is connected to a transmission line. Later, for detection and classification of faults wavelet Analysis (WT) is used. Faults are detected by the fault indices and compared with defined threshold value. The location of fault is done by artificial neural networks (ANN) on MG connected transmission system using detailed (D1 ) coefficients of energy current signals. This proposed algorithm is tested and more effective for the detection, classification and location of faults on MG interconnected transmission system. This algorithm is accurate and independent of fault inception angle (FIA), fault impedance and fault distance on line