Abstract
Recently, nature inspired algorithms (NIA) have been implemented to various fields of optimization problems. In this paper, the implementation of NIA is reported to solve the overcurrent relay coordination problem. The purpose is to find the optimal value of the Time Multiplier Setting (TMS) and Plug Setting (PS) in order to minimize the primary relays’ operating time at the near end fault. The optimization is performed using the Improved Grey Wolf Optimization (IGWO) algorithm. Some modifications to the original GWO have been made to improve the candidate’s exploration ability. Comprehensive simulation studies have been performed to demonstrate the reliability and efficiency of the proposed modification technique compared to the conventional GWO and some well-known algorithms. The generated results have confirmed the proposed IGWO is able to optimize the objective function of the overcurrent relay coordination problem.
Highlights
The electricity demand is keep increasing from year to year to accommodate the grown of the human population
Simulations have been performed to three different IEEE test cases to test the efficiency of the Grey Wolf Optimization (GWO) and Improved Grey Wolf Optimization (IGWO) techniques
The Time Multiplier Setting (TMS) and Plug Setting (PS) are considered as variables which bound from X1 to X6 and X7 to X12 respectively
Summary
The electricity demand is keep increasing from year to year to accommodate the grown of the human population. Complex electrical power networking systems comprise with switchgears, transformers, ring main units and motors. Optimization of the overcurrent relay operating time (Top) is certified by two parameters which are Time Multiplier Setting (TMS) and Plug Setting (PS). These two parameters are formulated as Mix Integer Non-Linear Programming (MINLP) problem. The huge catastrophe could be reduced with good and well-coordinated protection scheme. The good protection scheme should comprehend the requirements of sensitivity, speed, reliability and last but not least selectivity. In this modern complicated electrical networking system, more numbers of relays should be coordinated
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