Artificial intelligent based damping controller optimization for the multi-machine power system: A review
Power system oscillation is a major threat to the stability of an interconnected power system.
The safe operation of a modern power system is largely related to the success of oscillation …
The safe operation of a modern power system is largely related to the success of oscillation …
Value iteration adaptive dynamic programming for optimal control of discrete-time nonlinear systems
In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed
to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear …
to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear …
A comprehensive study of wide-area damping controller requirements through real-time evaluation with operational uncertainties in modern power systems
In interconnected modern power systems, renewable energy sources, HVDC transmission
lines, and energy storage devices are growing after being installed globally with …
lines, and energy storage devices are growing after being installed globally with …
Improved sliding mode design for load frequency control of power system integrated an adaptive learning strategy
Randomness from the power load demand and renewable generations causes frequency
oscillations among interconnected power systems. Due to the requirement of synchronism of …
oscillations among interconnected power systems. Due to the requirement of synchronism of …
Synchrophasor measurement technology in power systems: Panorama and state-of-the-art
Phasor measurement units (PMUs) are rapidly being deployed in electric power networks
across the globe. Wide-area measurement system (WAMS), which builds upon PMUs and …
across the globe. Wide-area measurement system (WAMS), which builds upon PMUs and …
Data-driven zero-sum neuro-optimal control for a class of continuous-time unknown nonlinear systems with disturbance using ADP
This paper is concerned with a new data-driven zero-sum neuro-optimal control problem for
continuous-time unknown nonlinear systems with disturbance. According to the input-output …
continuous-time unknown nonlinear systems with disturbance. According to the input-output …
Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming
This paper concerns a novel optimal self-learning battery sequential control scheme for
smart home energy systems. The main idea is to use the adaptive dynamic programming U+ …
smart home energy systems. The main idea is to use the adaptive dynamic programming U+ …
Decentralized control for large-scale nonlinear systems with unknown mismatched interconnections via policy iteration
In this paper, the decentralized control problem is solved based on a policy iteration
algorithm for large-scale nonlinear systems with unknown mismatched interconnections …
algorithm for large-scale nonlinear systems with unknown mismatched interconnections …
An event-triggered approach for load frequency control with supplementary ADP
The modern power system is evolving towards a new generation of smart grid, with
significant benefits from the latest computer-based communication network technologies …
significant benefits from the latest computer-based communication network technologies …
Power system stability control for a wind farm based on adaptive dynamic programming
In this paper, a goal representation heuristic dynamic programming (GrHDP) based
controller is developed for the doubly-fed induction generator based wind farm to improve …
controller is developed for the doubly-fed induction generator based wind farm to improve …