Optimization Design of Amorphous Metal Dry-type Transformer Based on Adaptive Chaotic Particle Swarm Optimization Algorithm

Amorphous metal dry-type transformer (AMDT) is a kind of green and energy-saving power distribution equipment, which is widely used in power distribution systems in various fields. The material cost and loss of AMDT are important factors that determine their economy and energy efficiency. Based on Visual Basic 6.0 software platform, the adaptive chaotic particle swarm optimization algorithm (ACPSO) is combined to optimize the total loss and main material cost of AMDT. Comparing the optimized results with the manual design and the data optimized by Particle Swarm Optimization Algorithm (PSO) and Quantum Particle Swarm Optimization Algorithm (QPSO), it is proved that the application of ACPSO can achieve the optimal and most efficient AMDT loss and cost reduction scheme.