Power System Transient Stability Analysis using Decision Tree Classifier- A Case Study on the IEEE 57- Bus System

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Authors

  • Rituparna Mukherjee
     Department of Electrical Engineering, Swami Vivekananda University, Kolkata – 700121, West Bengal ,IN
  • Abhinandan De
     Department of Electrical Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah – 711103, West Bengal ,IN
  • Promit Kumar Saha
     Department of Electrical Engineering, Swami Vivekananda University, Kolkata – 700121, West Bengal ,IN
  • Susmita Dhar Mukherjee
     Department of Electrical Engineering, Swami Vivekananda University, Kolkata – 700121, West Bengal ,IN
  • Abhishek Dhar
     Department of Electrical Engineering, Swami Vivekananda University, Kolkata – 700121, West Bengal ,IN
  • Saurabh Adhikari
     Department of Electrical Engineering, Swami Vivekananda University, Kolkata – 700121, West Bengal ,IN

DOI:

https://doi.org/10.18311/jmmf/2023/43590

Keywords:

Classification, Decision Tree, Dynamic Security, Power System Transient Stability

Abstract

This paper presents a novel method of “power system dynamic security assessment” using “decision tree (DT) classifier”. The standard “pattern recognition framework”, has been followed in the research work presented in this paper, in order to ensure that real-time implementation of the proposed framework is feasible. With the aim of recognizing the “degree of criticality” associated with various “pre-contingency operational circumstances,” the “DTSC” was created and taught offline. The “Decision Tree Security Classifier (DTSC)” was successfully implemented in a simulated environment to recognize a power system’s “unforeseen operating conditions” and predict their vulnerability to “post- contingency dynamic insecurity”.

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Published

2024-05-24

How to Cite

Mukherjee, R., De, A., Saha, P. K., Mukherjee, S. D., Dhar, A., & Adhikari, S. (2024). Power System Transient Stability Analysis using Decision Tree Classifier- A Case Study on the IEEE 57- Bus System. Journal of Mines, Metals and Fuels, 71(12A), 30–39. https://doi.org/10.18311/jmmf/2023/43590

Issue

Volume 71, Issue 12A , 2023

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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