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ASME Press Select Proceedings
International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)
By
Mohamed Othman
Mohamed Othman
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Raja Suzana Raja Kasim
Raja Suzana Raja Kasim
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ISBN:
9780791859797
No. of Pages:
760
Publisher:
ASME Press
Publication date:
2011

As the demand for power increases, the need for harmonic state estimation (HSE) has been increasing as well. Harmonics, injected by the non-linear equipments along the distribution networks, causes several power quality issues. Therefore, HSE plays an important role in harmonics monitoring and control. Various HSE techniques and algorithms have been developed since 1989, which would be discussed in this paper. The author outlines the role of artificial intelligence (AI) in the field and the process overview of a hybrid algorithm which combines particle swarm optimization (PSO) and gradient descent (GD) to train the weights of neural network (NN).

Abstract
Key Words
1 Introduction
2. State of Art
3 Artificial Intelligence in Problem-Solving
4. Hybrid Algorithm for HSE
5. Model Validation
References
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