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Research Article |

Novel PMU Model for Dynamic State Disturbance Analysis with Effective Data Handling System

Author(s): Ravi Ponnala1, Muktevi Chakravarthy2, and Suraparaju Venkata Naga Lakshmi Lalitha3

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 10, Issue 4

Publisher : FOREX Publication

Published : 30 December 2022

e-ISSN : 2347-470X

Page(s) : 1306-1314

DOI: https://doi.org/10.37391/IJEER.100485

Abstract

In this paper a hybrid DFT phasor calculation method is presented. This method is used to calculate the fundamental component phasor value of the harmonic signal without any physical filter. With this method the computational time for each phasor value calculation is reduced and the calculated phasor value has the constant magnitude and rotating phase angle. This calculated phasor values are used for the disturbance or fault identification in the power system based on Total Vector Error (TVE). The %TVE-based fault identification is more effective, because the TVE value is calculated with reference phasor value. If any fault/disturbance occurs or frequency changes then %TVE value changes. This change in TVE value is reflected in the calculation of the next sample (1/f.*N sec), giving the advantage to this method as compared to the other magnitude-based fault identification systems. Normally with the phasor calculation large data is produced, which requires large memory for the storage of this data and makes the analysis difficult. To avoid large data storage system conditional-based data storage system is proposed, where the data is stored during only the disturbance conditions or at every one second. With this technique, the data to be stored is reduced and the analysis of this data also becomes simpler for the post disturbance and for future load prediction. The performance of the proposed method is evaluated in terms of accuracy of calculation and its implementation ability. The simulation results are as per the IEEE C37.118.1a2014 for the power system monitoring and fault identification.

Keywords: Phasor, Recursive DFT, Non-Recursive DFT, Hybrid DFT, Harmonics, TVE, Effective data storage .




Ravi Ponnala*, Research Scholar, Department of Electrical and Electronics Engineering, National Institute of Technology Puducherry, India; Email: ravi.ponnala@staff.vce.ac.in

Muktevi Chakravarthy*, Associate Professor, Department of Electrical and Electronics Engineering, National Institute of Technology Puducherry, India; Email: hodeee@Staff.vce.ac.in

Suraparaju Venkata Naga Lakshmi Lalitha*, Professor, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India; Email: lalitha@kluniversity.in

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Ravi Ponnala, Muktevi Chakravarthy and Suraparaju Venkata Naga Lakshmi Lalitha (2022), Novel PMU Model for Dynamic State Disturbance Analysis with Effective Data Handling System. IJEER 10(4), 1306-1314. DOI: 10.37391/IJEER.100485.