Neural Lyapunov control for power system transient stability: A deep learning-based approach
Power system control and transient stability analysis play essential roles in secure system
operation. Control of power systems typically involves highly nonlinear and complex …
operation. Control of power systems typically involves highly nonlinear and complex …
Nonlinear adaptive excitation controller design for multimachine power systems with unknown stability sensitive parameters
In this paper, a nonlinear control scheme is proposed for synchronous generators in a
multimachine power system to damp out low-frequency oscillations and enhance the …
multimachine power system to damp out low-frequency oscillations and enhance the …
Decentralized nonlinear control for power systems using normal forms and detailed models
This paper proposes a decentralized method for nonlinear control of oscillatory dynamics in
power systems. The method is applicable for ensuring both transient stability and small …
power systems. The method is applicable for ensuring both transient stability and small …
Adaptive fuzzy dynamic surface sliding mode control of large-scale power systems with prescribe output tracking performance
This paper focuses on an adaptive fuzzy based dynamic surface sliding mode control
(ADSSMC) strategy for multi-machine power systems with SVC. The main characteristics of …
(ADSSMC) strategy for multi-machine power systems with SVC. The main characteristics of …
Improved synergetic excitation control for transient stability enhancement and voltage regulation of power systems
This paper proposes decentralized improved synergetic excitation controllers (ISEC) for
synchronous generators to enhance transient stability and obtain satisfactory voltage …
synchronous generators to enhance transient stability and obtain satisfactory voltage …
Real-time excitation control-based voltage regulation using ddpg considering system dynamic performance
Y Wang, V Vittal - IEEE Open Access Journal of Power and …, 2023 - ieeexplore.ieee.org
In recent years, there has been an increasing need for effective voltage control methods in
power systems due to the growing complexity and dynamic nature of practical power grid …
power systems due to the growing complexity and dynamic nature of practical power grid …
A non‐linear adaptive excitation control scheme for feedback linearized synchronous generations in multimachine power systems
A new adaptive scheme is proposed in this paper to design excitation controllers for
feedback linearized models of synchronous generators in multimachine power systems in …
feedback linearized models of synchronous generators in multimachine power systems in …
Decentralized voltage and power control of multi-machine power systems with global asymptotic stability
Maintaining power system stability is becoming urgent due to the large-scale
interconnection of power grids and the high penetration of uncertain renewable energy …
interconnection of power grids and the high penetration of uncertain renewable energy …
Decentralized nonlinear optimal predictive excitation control for multi-machine power systems
This paper presents a novel decentralized nonlinear excitation controller based on a
nonlinear optimal predictive control theory for multi-machine power systems to enhance their …
nonlinear optimal predictive control theory for multi-machine power systems to enhance their …
Effective 3C resource utilization and fair allocation strategy for multi-task federated learning
Nowadays, one of the main challenges in expanding AI applications is the effective use of
Computation, Communication, and Caching (3C) resources. The complexity of the cloud …
Computation, Communication, and Caching (3C) resources. The complexity of the cloud …