Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller
- 1 May 2011
- journal article
- Published by Elsevier BV in International Journal of Electrical Power & Energy Systems
- Vol. 33 (4), 1101-1108
- https://doi.org/10.1016/j.ijepes.2011.01.029
Abstract
No abstract availableThis publication has 14 references indexed in Scilit:
- Optimized multi area AGC simulation in restructured power systemsInternational Journal of Electrical Power & Energy Systems, 2010
- GA/particle swarm intelligence based optimization of two specific varieties of controller devices applied to two-area multi-units automatic generation controlInternational Journal of Electrical Power & Energy Systems, 2010
- Automatic generation control of TCPS based hydrothermal system under open market scenario: A fuzzy logic approachInternational Journal of Electrical Power & Energy Systems, 2009
- Some New Findings on Automatic Generation Control of an Interconnected Hydrothermal System With Conventional ControllersIEEE Transactions on Energy Conversion, 2006
- Application of GA based optimal integral gains in fuzzy based active power-frequency control of non-reheat and reheat thermal generating systemsElectric Power Systems Research, 2003
- Optimal design of power-system stabilizers using particle swarm optimizationIEEE Transactions on Energy Conversion, 2002
- Biomimicry of bacterial foraging for distributed optimization and controlIEEE Control Systems, 2002
- Design and experience with a fuzzy logic controller for automatic generation control (AGC)IEEE Transactions on Power Systems, 1998
- Application of neural networks to load-frequency control in power systemsNeural Networks, 1994
- New approaches to the AGC non-conforming load problemIEEE Transactions on Power Systems, 1994