Angle Instability and Oscillations Control using SVC: A Deep Reinforcement Learning Enhanced Local Controller

Self-learning fuzzy SVC controller for oscillations damping

this paper investigates the use of self learning fuzzy PD controller applied to SVC device for improving damping inter-area modes of oscillations. The SLFLC utilizes sensitivity model for learning of SLFLC parameters. This has been enhanced by adding an integral term whose gain coefficient is also synthesized by learning that is actuated after completion of the main learning algorithm. The pape...

Damping enhancement in the presence of load parameters uncertainty using reinforcement learning based SVC controller

This paper proposes a reinforcement learning based SVC controller to improve the damping of power systems in the presence of load model parameters uncertainty. The proposed method is trained over a wide range of typical load parameters in order to adapt the gains of the SVC stabilizer. The simulation results show that the tuned gains of the SVC stabilizer using Reinforcement Learning can provid...

Design of SVC controller for oscillations damping using Self-learning fuzzy approach

Application of fuzzy PD controller based on self learning algorithm for SVC device has been investigated in this paper. This approach used sensitivity model for learning Self Learning Fuzzy Logic parameters. This has been improved by adding up an integral term whose gain coefficient is also synthesized by learning that is actuated after completion of the main learning algorithm. The paper consi...

Using a Deep Reinforcement Learning Agent for Traffic Signal Control

Ensuring transportation systems are efficient is a priority for modern society. Technological advances have made it possible for transportation systems to collect large volumes of varied data on an unprecedented scale. We propose a traffic signal control system which takes advantage of this new, high quality data, with minimal abstraction compared to other proposed systems. We apply modern deep...

Enhanced Experience Replay for Deep Reinforcement Learning