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Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-Based Optimization

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Trends in Data Engineering Methods for Intelligent Systems (ICAIAME 2020)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 76))

Abstract

Optimal directional overcurrent relays (DOCRs) coordination aims to find the optimal relay settings in order to protect the system, where, the primary relays are operated in the first to clear the faults, then the corresponding backup relays should be operated in case of failing the primary relays. DOCRs coordination problem is a non-convex and high dimensional optimization problem and it should be solved subject to operating constraints. The objective function for optimal coordination of DOCRs aims to minimize total operation time for all primary relays without violation in constraints to maintain reliability and security of the electric power system. This paper proposes the artificial ecosystem-based optimization (AEO) algorithm is for the solution of the DOCRs coordination problem. Simulation studies were carried out in IEEE 3-bus and IEEE 4-bus test systems to evaluate the performance of the proposed algorithm. The simulation results are compared with differential evolution algorithm (DE), opposition based chaotic differential evolution algorithm (OCDE1and OCDE2), and three real coded genetic algorithms (RCGAs) namely: Laplace crossover power mutation (LX-PM), Laplace crossover polynomial mutation (LX-POL), bounded exponential crossover power mutation (BEX-PM). The results clearly showed that the proposed algorithm is a powerful and effective method to solve the DOCRs coordination problem.

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Author information

Authors and Affiliations

  1. Duzce University, Duzce, Turkey

    Ugur Guvenc

  2. Dogus University, Istanbul, Turkey

    Huseyin Bakir

  3. Bandirma Onyedi Eylul University, Balıkesir, Turkey

    Serhat Duman

Authors
  1. Ugur Guvenc
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  2. Huseyin Bakir
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  3. Serhat Duman
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Corresponding author

Correspondence to Huseyin Bakir .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India

    Jude Hemanth

  2. Department of Computer Engineering, Faculty of Engineering, Süleyman Demirel University, Isparta, Turkey

    Tuncay Yigit

  3. Department of Computer Science, Alexandru Ioan Cuza University, Iasi, Romania

    Bogdan Patrut

  4. Department of Computer Science and Engineering, University of Westminster, London, UK

    Anastassia Angelopoulou

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Guvenc, U., Bakir, H., Duman, S. (2021). Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-Based Optimization. In: Hemanth, J., Yigit, T., Patrut, B., Angelopoulou, A. (eds) Trends in Data Engineering Methods for Intelligent Systems. ICAIAME 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-79357-9_15

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