Enhancing Overvoltage Resistance in Electrical Feeders: A Case Study on CEPALCOs Pueblo de Oro Feeder 2 with Critical Node Optimization

Jan Michael Batilo, Wenna Baroza, Abid Yahya, Lory Liza Bulay-Og

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Lightning strikes are prevalent on the overhead distribution lines of CEPALCO's Pueblo de Oro Feeder 2, often causing significant insulation damage and leading to partial or total system shutdowns. While lightning arresters are considered an effective solution to this problem, they require significant investment, making large-scale use across CEPALCO's extensive network economically unfeasible. In response to this challenge, this study explores a Critical Node Optimzation technique known as Direct Discharge Crossing (DDC). This method is used to efficiently place lightning arresters, ensuring adequate protection for the distribution system while minimizing cost. Simulations were conducted using EMTP-RV, a power system analysis software, to model the CEPALCO PDO F2 feeder. The results of the study demonstrate that installing lightning arresters at the most critical positions significantly reduces flashover incidents and decreases the D function for each pole, leading to enhanced system reliability and reduced maintenance costs. This approach offers optimal resource allocation and improved lightning performance of the distribution network.

Original languageEnglish
Title of host publication2nd International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1628-1634
Number of pages7
ISBN (Electronic)9798350368413
DOIs
Publication statusPublished - 2024
Event2nd International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024 - Erode, India
Duration: Oct 23 2024Oct 25 2024

Publication series

Name2nd International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024 - Proceedings

Conference

Conference2nd International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024
Country/TerritoryIndia
CityErode
Period10/23/2410/25/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Computational Mathematics
  • Control and Optimization
  • Theoretical Computer Science

Fingerprint

Dive into the research topics of 'Enhancing Overvoltage Resistance in Electrical Feeders: A Case Study on CEPALCOs Pueblo de Oro Feeder 2 with Critical Node Optimization'. Together they form a unique fingerprint.

Cite this