Details

Autor(en) / Beteiligte

• Cao, Li
• Gan, Shu Chuan
• Yue, Ying Gao
• Tang, Ling

Titel

Precision Power System Harmonic Analysis Algorithm Based on ABC-BPNN

Ist Teil von

• Applied Mechanics and Materials, 2013-12, Vol.483 (Mechanical Engineering, Materials and Energy III), p.630-634

Ort / Verlag

Zurich: Trans Tech Publications Ltd

Erscheinungsjahr

2013

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• An algorithm of artificial colony algorithm to optimize the BP neural network algorithm was presented and used to analyze the harmonics of power system. The artificial bee colony algorithm global searching ability, convergence speed for the BP neural network algorithm for harmonic analysis is easy to fall into local optimal solution of the disadvantages, and the initial weights of the artificial bee colony algorithm also greatly enhance whole algorithm model generalization capability. This algorithm using MATLAB for Artificial bee colony algorithm and BP neural network algorithm simulation training toolbox found using artificial bee colony algorithm to optimize BP neural network algorithm converges faster results with greater accuracy, with better harmonic analysis results.