Energy Reports (Nov 2021)

Optimal coordination of directional overcurrent relays using hybrid fractional computing with gravitational search strategy

  • Yasir Muhammad,
  • Muhammad Asif Zahoor Raja,
  • Muhammad Abid Ali Shah,
  • Saeed Ehsan Awan,
  • Farman Ullah,
  • Naveed Ishtiaq Chaudhary,
  • Khalid Mehmood Cheema,
  • Ahmad H. Milyani,
  • Chi-Min Shu

Journal volume & issue
Vol. 7
pp. 7504 – 7519

Abstract

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The protection system has a vital role in subsystems of the power network including the generation, transmission and distribution system. This system combines several types of protection relays including directional over current relay, differential relay, distance relay, earth faults relay, inverse definite minimum time (IDMT) relay for the protection of line, generators bus bars, transformers, line to ground faults and feeder lines of the power system. In this research paper, the overall performance of the protection system is improved by reducing the overall operational time of directional over current relays (DOCRs) through the optimal coordination between the primary and backup over current protective relays while keeping the time multiplier setting (TMS), pickup tap setting (PTS) and coordination time of interval (CTI) within the allowable limits. A new optimization strategy, namely the FPSOGSA, is developed by integrating the concept of fractional calculus inside the mathematical model of canonical particle swarm optimization and combining with traditional gravitational search algorithm to enhance the optimizer characteristics and tested on coordination problem of DOCRs in standard power systems including the IEEE 3, 8 and 15 bus networks. The results, yielded by proposed algorithm and their comparison with other well-known recently established counterparts, reveal that the synergy of FC, PSO and GSA enhance the performance of the optimizer by combining the individual strengths of these tools and finding the best global solution. The consistency, stability and reliability of FPSOGSA is endorsed by comprehensive statistical analysis based on the empirical cumulative distribution function, histograms, boxplot illustrations, quantile–quantile plots, minimum fitness evolution in each independent simulation.

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