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Prioritization of Passive Parameters from Modified Averaging Approach-Based Computation (MAAC) Methodology for Ascertaining Formation of Single and Multi-Location Unintentional Islands

Author

Listed:
  • Nitin Kumar Kulkarni

    (Electrical Engineering Department, Visvesvaraya National Institute of Technology, Nagpur 440010, India)

  • Mohan Khedkar

    (Electrical Engineering Department, Visvesvaraya National Institute of Technology, Nagpur 440010, India)

  • Chandrashekhar Narayan Bhende

    (Indian Institute of Technology, School of Electrical Sciences, Bhubaneswar 752050, India)

  • Sunil Kumar Singh

    (School of Electrical Engineering, Shri Ramswaroop Memorial University, Barabanki 225003, India)

Abstract

In the present scenario, the integration of distributed generation (DG) sources into the grid is inevitably required for meeting demand and ameliorating the power quality. High integration levels can form unintentional islands which need to be recognized to provide safety. In this context, 64 passive parameters have been tested in the MATLAB/SIMULINK environment for extensive islanding and non-islanding switching events on standard IEEE 13, 34, and 37 bus distribution test feeders (DTFs) integrated with photovoltaic (PV) inverter-based and rotating-based (induction generator) DG sources at multiple locations. In order to obtain effective passive parameters, a modified averaging approach-based computation (MAAC) methodology has been proposed. The proposed methodology computes the averaged islanding and non-islanding values of all ‘64’ parameters and prioritizes them accordingly by threshold value comparison. Additionally, it lessens the computational burden. The parameter threshold setting is simplified by obtaining threshold values directly from IEEE 1547-2018, UL1741, and IEEE 929-2000 grid interconnection standards, and the threshold values obtained are the same for the three DTFs. As a result, a generalized solution has been provided. The simulation results confer a set of the overall most effective passive parameters for ascertaining islanding, especially for a complex scenario of multi-DG multi-location island formations.

Suggested Citation

  • Nitin Kumar Kulkarni & Mohan Khedkar & Chandrashekhar Narayan Bhende & Sunil Kumar Singh, 2022. "Prioritization of Passive Parameters from Modified Averaging Approach-Based Computation (MAAC) Methodology for Ascertaining Formation of Single and Multi-Location Unintentional Islands," Energies, MDPI, vol. 15(17), pages 1-25, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6441-:d:905830
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    References listed on IDEAS

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    1. Min-Sung Kim & Raza Haider & Gyu-Jung Cho & Chul-Hwan Kim & Chung-Yuen Won & Jong-Seo Chai, 2019. "Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems," Energies, MDPI, vol. 12(5), pages 1-21, March.
    2. Sowmya Ramachandradurai & Narayanan Krishnan & Natarajan Prabaharan, 2022. "Unintentional Passive Islanding Detection and Prevention Method with Reduced Non-Detection Zones," Energies, MDPI, vol. 15(9), pages 1-26, April.
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    1. Eduardo Marcelo Seguin Batadi & Maximiliano Martínez & Marcelo Gustavo Molina, 2024. "Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility," Energies, MDPI, vol. 17(3), pages 1-26, January.

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