Skip Nav Destination
ASME Press Select Proceedings
International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)
ISBN:
9780791859797
No. of Pages:
760
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
104 Review on Various Methods in Harmonic State Estimation
By
Ugasciny Arumugam
,
Ugasciny Arumugam
E&E Engineering Dept.,
Universiti Teknologi PETRONAS (UTP)
, Tronoh, Perak
, Malaysia
.
Search for other works by this author on:
Nursyarizal Mohd. Nor
,
Nursyarizal Mohd. Nor
E&E Engineering Dept.,
UTP
, Tronoh, Perak
, Malaysia
.
Search for other works by this author on:
Mohd Faris Bin Abdullah
Mohd Faris Bin Abdullah
E&E Engineering Dept.,
UTP
, Tronoh, Perak
, Malaysia
.
Search for other works by this author on:
Page Count:
7
-
Published:2011
Citation
Arumugam, U, Nor, NM, & Abdullah, MFB. "Review on Various Methods in Harmonic State Estimation." International Conference on Software Technology and Engineering, 3rd (ICSTE 2011). Ed. Othman, M, & Kasim, RSR. ASME Press, 2011.
Download citation file:
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).
Topics:
State estimation
Abstract
Key Words
1 Introduction
2. State of Art
3 Artificial Intelligence in Problem-Solving
4. Hybrid Algorithm for HSE
5. Model Validation
References
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Distributed Traffic State Estimation and Classification Using Consensus-Based Expectation Maximization Algorithm in Spatially Deployed Traffic Detectors
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Design and Simulation on State Observer for Crane-Load System
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
A Design Method for State Observers for Time-Delay Plants
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Related Articles
State Estimation With Finite Signal-to-Noise Models via Linear Matrix Inequalities
J. Dyn. Sys., Meas., Control (March,2007)
The Extended Variable Structure Filter
J. Dyn. Sys., Meas., Control (June,2006)
The Variable Structure Filter
J. Dyn. Sys., Meas., Control (September,2003)