Application of BP Neural Network in Power Load Simulator

  • Bing-Da Zhang
  • Ke Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


Adopting the fundamentals of PWM voltage source rectifier and the PID-control technology based on error-back-propagation neural network, an electronic power load simulator is designed in this paper, which can simulate the exact Volt-Ampere characteristics of power load and supply high quality feedback electric power. In order to enable the PID controller to perform better, genetic algorithms are used to accumulate the priori knowledge of the neural network’s connection weights, and the system voltages and the controlled parameters are forecasted. The experimental results show that the electronic power load simulator runs well when the Volt-Ampere characteristics simulated are time-variable or voltage disturbances occur in power system.


Power System Hide Node Connection Weight Genetic Algo Feedback Current 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Bing-Da Zhang
    • 1
  • Ke Zhang
    • 1
  1. 1.School of Electrical Engineering & AutomationTianjin UniversityChina

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