Designing of High Voltage Cable Bonding with Intelligence Algorithms to Avoid Cable Insulation Faults and Electroshock in High Voltage Lines

The insulation fault is a major problem in high voltage cable lines. factors the faults are harmonic currents and metal sheath (MV) that occur on of cable. MV distortion should be minimized to prevent faults. Thus, sectional solid bonding with different grounding resistance (SSBr) method developed as new for minimizations current MV. Also, SSBr optimized by according minimum rate Inertia weighted particle swarm optimization (iPSO), (PSO), genetic algorithm (GA) differential evolution (DEA) used SSBr, three groups prediction methods separately objective function determine distortion. These neural networks, hybrid networks regression methods. Hybrid network inertia (H-iPSO), linear feedforward backpropagation selected from their training errors. Solid widely cable, simulated this study. When maximum measured 8.15 %, 1086 V. H-iPSO method, PSO 5,28 57 Namely, both electroshock can prevented method.