Wavelet-Ann Based Fault Location Identification in Micro Grid Inter Connected Transmission System
S. Chandra Shekar1, G. Ravi Kumar S.V.N.L Lalitha2
1S. Chandra Shekar, Research Scholar, Dept. of EEE , Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
2G. Ravi Kumar,Professor, Dept. of EEE, Bapatla Engg. College, Bapatla, AP, India. S.V.N.L. Lalitha, Professor, Dept. of EEE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Manuscript received on 15 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 1320-1324 | Volume-8 Issue-3 September 2019 | Retrieval Number: B3287078219/19©BEIESP | DOI: 10.35940/ijrte.B3287.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 major technical challenges. Protection system must respond 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.
Keywords: Islanded Microgrid, Inverter– Interfaced Microgrids, Microgrid Protection.
Scope of the Article: Addressing & Location Management