ARTIFICIAL NEURAL NETWORK APPROACH: AN APPLICATION TO HARMONIC LOAD FLOW FOR RADIAL SYSTEMS

ARTIFICIAL NEURAL NETWORK APPROACH: AN APPLICATION TO HARMONIC LOAD FLOW FOR RADIAL SYSTEMS

Radial Distribution Systems (RDS) require special load flow methods to solve power flow equations owing to their high R/X ratio. Increasing use of power electronic devices and effect of magnetic saturation cause harmonics in RDS. This paper reports a multi-layer feed forward ANN with error back prop...

Full description

Bibliographic Details
Main Authors:	A. Arunagiri, Suresh K, B. Venkatesh, R. Ramesh Kumar, Mustajab Ahmed Khan
Format:	Article
Language:	English
Published:	Yanbu Industrial College 2010-10-01
Series:	Yanbu Journal of Engineering and Science
Online Access:	https://doi.org/10.53370/001c.23734

Similar Items

Detection of harmonics in power system by artificial neural network /
by: 177137 Md. Rukonuzzaman
Published: (1998)

Detection of harmonics in power system by artificial neural network
by: Md. Rukonuzzaman, Md. Rukonuzzaman
Published: (1998)

Neural network approach of harmonics detection
by: Zin, A.A.M, et al.
Published: (1998)

Harmonic analysis and artificial neural network for active power filter /
by: Mohd. Wazir Mustafa, 1972- 558572, et al.
Published: (2006)

Harmonic analysis and artificial neural network for active power filter /
by: 242022 Lee, Ee Pei
Published: (2006)

Harmonic load flow analysis /
by: 401117 Mohd. Azlan Ali, et al.
Published: (2007)

Harmonics load flow analysis /
by: Nadrah Kamaruddin, 1987-, et al.
Published: (2010)

ARTIFICIAL NEURAL NETWORK APPROACH TO TRAFFIC FLOW CONTROL
by: David E Kazaryan, et al.
Published: (2017-12-01)

The Use of Radial-Based Artificial Neural Networks in Modelling Drying Kinetics
by: Adil Koray Yıldız, et al.
Published: (2020-02-01)

Total Harmonics Distortion Prediction at the Point of Common Coupling of industrial load with the grid using Artificial Neural Network
by: Emenike Ugwuagbo, et al.
Published: (2023-10-01)

Artificial Neural Networks: Multilayer Perceptron and Radial Basis to Obtain Post-Contingency Loading Margin in Electrical Power Systems
by: Alfredo Bonini Neto, et al.
Published: (2022-10-01)

Integration of Stand-Alone Controlled Active Power Filters in Harmonic Power Flow of Radial Distribution Networks
by: Hamed Rezapour, et al.
Published: (2023-03-01)

Harmonic analysis and artificial neural network for active power filter [microfilm] /
by: Fakulti Kejuruteraan Elektrik
Published: (2006)

An Aeromagnetic Compensation Algorithm Based on Radial Basis Function Artificial Neural Network
by: Shuai Zhou, et al.
Published: (2022-12-01)

Improving Stability and Convergence for Adaptive Radial Basis Function Neural Networks Algorithm. (On-Line Harmonics Estimation Application)
by: Eyad K Almaita, et al.
Published: (2017-03-01)

The aerodynamic loading of radial and mixed-flow turbines/
by: 373139 Chen, H., et al.

Harmonic analysis of radial engine torque
by: Nelligan, Thomas P
Published: (2018)

An active learning approach for radial basis function neural networks
by: Abdullah, S. S., et al.
Published: (2006)

Performance evaluation of radial basis function neural networks
by: Arun Kumar.
Published: (2008)

Elevator traffic flow prediction using radial basis function neural networks
by: Abdullah, Shahrum Shah, et al.
Published: (2008)

Harmonic load flow analysis [electronic resource] /
by: 401117 Mohd. Azlan Ali, et al.
Published: (2007)

Harmonics load flow analysis [electronic resource] /
by: Nadrah Kamaruddin, 1987-
Published: (2010)

An Application of Radial Basis Function Neural Network for Short Term Load Forecasting Solution
by: Nurul Faezah, Othman, et al.
Published: (2018)

A Novel Algorithm for Optimal Harmonic Load Flow including Harmonic Compensation
by: Prachi Godbole, et al.
Published: (2023-02-01)

Investigation of suddenly expanded flows at subsonic Mach numbers using an artificial neural networks approach.
by: Jaimon Dennis Quadros, et al.
Published: (2022-01-01)

On p-radial Blaschke and harmonic Blaschke additions
by: Chang-Jian Zhao
Published: (2017-12-01)

An Improved Artificial Neural Network-Based Approach for Total Harmonic Distortion Reduction in Cascaded H-Bridge Multilevel Inverters
by: Yazeed Yasin Ghadi, et al.
Published: (2023-01-01)

Controllers design of the fluid mixing system using surrogate modeling with radial basis function artificial neural network and LQR approach /
by: Ng, Jun Ting, 1987- , author, et al.
Published: (2011)

Fault diagnosis in a five-level multilevel inverter using an artificial neural network approach
by: E. Parimalasundar, et al.
Published: (2023-01-01)

Load forecasting using artificial neural network (ANN) /
by: Khairull Amrey Abu Seman 1984- author 237878, et al.
Published: (2007)

A Novel Three-Phase Harmonic Power Flow Algorithm for Unbalanced Radial Distribution Networks with the Presence of D-STATCOM Devices
by: Raavi Satish, et al.
Published: (2021-10-01)

Electrical Impedance Tomography of Industrial Two-Phase Flow Based on Radial Basis Function Neural Network Optimized by the Artificial Bee Colony Algorithm
by: Zhiheng Zhu, et al.
Published: (2023-09-01)

A Reliable Load Flow Method for Radial Distribution Systems
by: Kassim A. Ali Al-Anbarri, et al.
Published: (2012-06-01)

Graph theory-based radial load flow analysis to solve the dynamic network reconfiguration problem
by: Aman, M.M., et al.
Published: (2016)

Load Flow Analysis and the Impact of a Solar PV Generator in a Radial Distribution Network
by: Mohamed Ali Zdiri, et al.
Published: (2023-02-01)

Design of a Microwave Quadrature Hybrid Coupler with Harmonic Suppression Using Artificial Neural Networks
by: Saeed Roshani, et al.
Published: (2024-01-01)

Toeplitz Operators on Harmonic Fock Spaces with Radial Symbols
by: Zhi-Ling Sun, et al.
Published: (2024-02-01)

Research of cooling tower filler based on radial basis function artificial neural network (RBF ANN)
by: Lixin Zhang, et al.
Published: (2023-08-01)

Influence of the Training Methods in the Diagnosis of Multiple Sclerosis Using Radial Basis Functions Artificial Neural Networks
by: Ángel Gutiérrez
Published: (2015-04-01)

Predicting the mechanical characteristics of hydrogen functionalized graphene sheets using artificial neural network approach
by: Vijayaraghavan, Venkatesh, et al.
Published: (2023)