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Optimized Adaptive Overcurrent Protection Using Hybridized Nature-Inspired Algorithm and Clustering in Microgrids

Author

Listed:
  • Thiramuni Sisitha Sameera Senarathna

    (Department of Electrical Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka)

  • Kullappu Thantrige Manjula Udayanga Hemapala

    (Department of Electrical Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka)

Abstract

Microgrids have been popularized in the past decade because of their ability to add distributed generation into the classic distribution systems. Protection problems are among several other problems that need solutions in order to extract the full capability of these novel networks. This research follows the branches of two major solutions, namely adaptive protection and protection optimization. Adaptive protection implementation with a novel concept of clustering is considered, and protection setting optimization is done using a novel hybrid nature-inspired algorithm. Adaptive protection is utilized to cope with the topology variations, while optimization techniques are used to calculate the protection settings that provide faster fault clearances in coordination with backup protection. A modified IEEE 14 bus system is used as the test system. Validation was done for the fault clearing performance. The selected algorithm was effective than most other algorithms, and the clustering approach for adaptive overcurrent protection was able to reduce the number of relays’ setting groups.

Suggested Citation

  • Thiramuni Sisitha Sameera Senarathna & Kullappu Thantrige Manjula Udayanga Hemapala, 2020. "Optimized Adaptive Overcurrent Protection Using Hybridized Nature-Inspired Algorithm and Clustering in Microgrids," Energies, MDPI, vol. 13(13), pages 1-23, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:13:p:3324-:d:378104
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    References listed on IDEAS

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    1. Jiangtao Yu & Chang-Hwan Kim & Sang-Bong Rhee, 2020. "The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem," Complexity, Hindawi, vol. 2020, pages 1-22, January.
    2. Mahmoud Abdelsalam & Hatem Y. Diab, 2019. "Optimal Coordination of DOC Relays Incorporated into a Distributed Generation-Based Micro-Grid Using a Meta-Heuristic MVO Algorithm," Energies, MDPI, vol. 12(21), pages 1-16, October.
    3. Abdul Wadood & Tahir Khurshaid & Saeid Gholami Farkoush & Jiangtao Yu & Chang-Hwan Kim & Sang-Bong Rhee, 2019. "Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems," Energies, MDPI, vol. 12(12), pages 1-27, June.
    Full references (including those not matched with items on IDEAS)

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