Optimal design of grounding grid based on cloud genetic algorithm
Tao Yang · Dianli zidonghua shebei · 2012
Based on the inequipotential model and two-layer soil model,the feasibility of exponential-law conduct arrangement is studied,the target function minimizing the maximum touch voltage is built and the cloud genetic algorithm is applied to obtain the solution.The adaptive algorithm and cloud model are used to calculate the cross and mutation probability,the best horizontal and vertical compression ratios are then calculated and the topology of grounding grid is obtained.The grounding grid calculation for a real substation shows that,the global optimum is quickly found,the edge effect and proximity effect existing in the equal spacing grounding grid are avoided,the ground surface potential is equally distributed and the maximum touch voltage is remarkably decreased.