Ahamed, Imthias TP and Rao, Nagendra PS and Sastry, PS (2006) Reinforcement learning controllers for automatic generation control in power systems having re-heat units with GRC and dead-band. In: International journal of power & energy systems, 26 (2). pp. 137-146.Full text not available from this repository.
A new automatic generation controller (AGC) design approach, adopting reinforcement learning (RL) techniques, was recently pro- posed . In this paper we demonstrate the design and performance of controllers based on this RL approach for automatic generation control of systems consisting of units having complex dynamics—the reheat type of thermal units. For such systems, we also assess the capabilities of RL approach in handling realistic system features such as network changes, parameter variations, generation rate constraint (GRC), and governor deadband.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to International Association of Science and Technology for Development.|
|Keywords:||Power system control;automatic generation control;learning con-trollers;reinforcement learning;GRC;deadband|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||16 Mar 2012 09:33|
|Last Modified:||16 Mar 2012 09:33|
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