Detection of Disturbance in Distribution System Using Mathematical Morphology
S. Sendil Kumar1, P. Hariramakrishnan2, S. Kavaskar3
1S. Sendil Kumar, Professor, Department of EEE, Mount Zion College of Engineering Technology, Anna University, Chennai, Pudukkottai (Tamil Nadu), India.
2P. Hariramakrishnan, Associate Professor, Department of EEE, Panimalar Engineering College, Anna University, Chennai, Poonamallee (Tamil Nadu), India.
3S. Kavaskar, Associate Professor, Department of EEE, Panimalar Engineering College, Anna University, Chennai, Poonamallee (Tamil Nadu), India.
Manuscript received on 26 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 14 December 2019 | PP: 395-399 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10781191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1078.1191S19
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© 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: Detection of disturbances is performed using Mathematical Morphology (MM) technique. A 33kV real time distribution model used to simulate the disturbance such as capacitance switching, load switching and line to ground (L-G) fault for both linear and nonlinear loads. MATLAB/SIMULINK software is used for analysis. A suitable MM filter and Structural Element (SE) is proposed for the disturbance detection. Distinguishing PSD (PSD) Energy and SD (SD) values calculated using Parsevals theorem. The proposed MM filter is very powerful to distinguish PSD due to linear and nonlinear load.
Keywords: Mathematical Morphology, Power Quality Disturbances, Linear Load, Non Linear Load, Distribution System.
Scope of the Article: System Integration