Optimization design of amorphous metal distribution transformer based on improved quantum particle swarm optimization algorithm
Dianxing LIU, W. Zhong, Charles Zhou · IET conference proceedings. · 2022
As an energy-saving and environmentally friendly power distribution equipment, amorphous metal core distribution transformer (AMDT) has a huge market. The designing efficiency and main material cost of AMDT play an important role in improving the competitiveness and economic benefit of transformer manufacturers. Based on Visual Basic 6.0 software, AMDT was taken as the object of optimization design, and the main material cost of AMDT was taken as the objective function of optimization. Compared with the results obtained by the original design scheme, particle swarm optimization (PSO), quantum particle swarm optimization (QPSO), and improved quantum particle swarm optimization (IQPSO) after optimizing the design variables, the results Shown that the IQPSO provides a much minimized solution and computation time than the other three kinds of methods. The feasibility and effectiveness of the IQPSO algorithm during the optimal design of AMDT are verified.