A novel RK4-Hopfield Neural Network for Power Flow Analysis of power system
Authors:
- Veerapandiyan VeerasamyVVVeerapandiyan Veerasamy
- Noor Izzri Abdul WahabNoor Izzri Abdul Wahab
- Rajeswari RamachandranRRRajeswari Ramachandran
- Balasubramonian MadasamyBMBalasubramonian Madasamy
- Muhammad MansoorMMMuhammad Mansoor
- Mohammad Lutfi OthmanMOMohammad Lutfi Othman
- Hashim HizamHHHashim Hizam
- 1 August 2020
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 93
Abstract
No abstract availableKeywords
Funding Information
- Universidad Politécnica de Madrid
- Universiti Putra Malaysia (9630000)
This publication has 40 references indexed in Scilit:
- A linearized approach to the Symmetric Fuzzy Power Flow for the application to real systemsInternational Journal of Electrical Power & Energy Systems, 2014
- Solvability and solutions for bus-type extended load flowInternational Journal of Electrical Power & Energy Systems, 2013
- The augmented Lagrange Hopfield network for economic dispatch with multiple fuel optionsMathematical and Computer Modelling, 2013
- Chaotic particle swarm optimization based robust load flowInternational Journal of Electrical Power & Energy Systems, 2010
- A review of Hopfield neural networks for solving mathematical programming problemsEuropean Journal of Operational Research, 2009
- Artificial neural networks for solving the power flow problem in electric power systemsElectric Power Systems Research, 2002
- Development of constrained-genetic-algorithm load-flow methodIEE Proceedings - Generation, Transmission and Distribution, 1997
- Neural network load-flowIEE Proceedings - Generation, Transmission and Distribution, 1995
- Neural networks for shortest path computation and routing in computer networksIEEE Transactions on Neural Networks, 1993
- Modifications to Newton-Raphson load flow for ill-conditioned power systemsInternational Journal of Electrical Power & Energy Systems, 1990