A hybrid intelligent system for protection of transmission lines connected to PV farms based on linear trends

Pallav Kumar Bera, Samita Rani Pani, Can Isik, Ramesh C. Bansal

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Conventional relays face challenges for transmission lines connected to inverter-based resources (IBRs). In this article, a single-ended intelligent protection of the transmission line in the zone between the grid and the PV farm is suggested. The method employs a fuzzy logic and random forest (RF)-based hybrid system to detect faults based on combined linear trend attributes of the 3-phase currents. The fault location is determined and the faulty phase is detected. RF feature selection is used to obtain the optimal linear trend feature. The performance of the methodology is examined for abnormal events such as faults, capacitor and load-switching operations simulated in PSCAD/EMTDC on IEEE 9-bus system obtained by varying various fault and switching parameters. Additionally, when validating the suggested strategy, consideration is given to the effects of conditions such as the presence of double circuit lines, PV capacity, sampling rate, data window length, noise, high impedance faults, CT saturation, compensation devices, evolving and cross-country faults, and far-end and near-end faults. The findings indicate that the suggested strategy can be used to deal with a variety of system configurations and situations while still safeguarding such complex power transmission networks.

Original languageEnglish (US)
Article number110991
JournalElectric Power Systems Research
Volume237
DOIs
StatePublished - Dec 2024

Keywords

  • Fault detection
  • Feature selection
  • High impedance faults
  • Inverter-interfaced renewable energy sources
  • Linear trend
  • Photovoltaic farms
  • Random forest
  • TCSC

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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