Intelligent Controller of High Voltage Power Station Based Artificial Neural Network

Abstract:

In this papermulti-layer perceptron (MLP) artificial neural networks (ANN) theory is presented as an efficient controllerfor the high voltage direct current (HVDC) power station systems. The results demonstrated successful performance for single mode control using an MLP-ANN based on-line power controller. The main advantage by using ANN controllers such as optimal control system over a wide operating range, which is a capable of on-line adaptation makes the power systems no a prior knowledge and has a huge database with capacity to learn from previous experience.

• Periodical: Applied Mechanics and Materials (Volume 793)
• Pages: 505-509
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.793.505
• Online since: September 2015
• Authors: Shouket A. Ahmed, Abadal Salam T. Hussain*, F. Malek, Taha A. Taha, S. Faiz Ahmed, Nursabrina Noorpi, Gomesh Nair Shasidharan, Mohd Irwan Yusoff, Muhammad Irwanto Misrun
• Keywords: Artificial Intelligent Controller, Artificial Neural Network, High Voltage

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