Optimization of grounding system of 60/30 kV substation of Ain El-Melh using GAO

This paper presents a safe and economic grounding system design for the substation of Ain El-Melh located in M'Sila city (Algeria) using genetic algorithm optimization (GAO). The main objective is to minimize the cost function of the considered grounding system in accordance with the security restrictions required by the ANSI/IEEE Std. 80-2000. A new mathematical model has been proposed for the cost function. This latter includes number of conductors, conductor dimension, number of rods, length of rods and total area of revetment. The study results have showed the effectiveness of the established GAO algorithm in designing of grounding system in economic view. A good accordance has been obtained when comparing the results found by GAO algorithm and the calculation code CYMGrd ones.