A flexible control strategy for grid-connected and islanded microgrids with enhanced stability using nonlinear microgrid stabilizer
SM Ashabani, YARI Mohamed - IEEE Transactions on Smart …, 2012 - ieeexplore.ieee.org
The energy sector is moving into the era of distributed generation (DG) and microgrids
(MGs). The stability and operation aspects of converter-dominated DG MGs, however, are …
(MGs). The stability and operation aspects of converter-dominated DG MGs, however, are …
[图书][B] Nonlinear control systems and power system dynamics
Q Lu, Y Sun, S Mei - 2013 - books.google.com
Nonlinear Control Systems and Power System Dynamics presents a comprehensive
description of nonlinear control of electric power systems using nonlinear control theory …
description of nonlinear control of electric power systems using nonlinear control theory …
Nonlinear decentralized control of large-scale power systems
This paper describes an application of nonlinear decentralized robust control (Guo, Jiang &
Hill, 1998) to large-scale power systems. Decentralized power controllers are designed …
Hill, 1998) to large-scale power systems. Decentralized power controllers are designed …
The nonlinear internal control of STATCOM: theory and application
In this paper, a two-level control structure of Static Synchronous Var Compensator
(STATCOM), which consists of internal and external control system, is described. The control …
(STATCOM), which consists of internal and external control system, is described. The control …
Event-triggered distributed robust model predictive control for a class of nonlinear interconnected systems
In this work, we develop an event-triggered distributed robust model predictive control
algorithm to stabilize the origin of a class of interconnected systems with nonlinear coupling …
algorithm to stabilize the origin of a class of interconnected systems with nonlinear coupling …
A review of neural network based machine learning approaches for rotor angle stability control
R Yousefian, S Kamalasadan - arXiv preprint arXiv:1701.01214, 2017 - arxiv.org
This paper reviews the current status and challenges of Neural Networks (NNs) based
machine learning approaches for modern power grid stability control including their design …
machine learning approaches for modern power grid stability control including their design …
Nonlinear output stabilization control for multimachine power systems
In this paper, a robust decentralized nonlinear control scheme is proposed for multimachine
power system stability enhancement. The nonlinear controller consists of a novel dynamic …
power system stability enhancement. The nonlinear controller consists of a novel dynamic …
Variable structure control of complex systems
It is well known that linear dynamical systems cannot adequately describe many
phenomena commonly observed in the real world. With the advancement of science and …
phenomena commonly observed in the real world. With the advancement of science and …
Stable, robust hybrid zero dynamics control of powered lower-limb prostheses
To improve the quality of life for lower-limb amputees, powered prostheses are being
developed. Advanced control schemes from the field of bipedal robots, such as hybrid zero …
developed. Advanced control schemes from the field of bipedal robots, such as hybrid zero …
Nonlinear decentralized disturbance attenuation excitation control via new recursive design for multi-machine power systems
Q Lu, S Mei, W Hu, FF Wu, Y Ni… - IEEE Transactions on …, 2001 - ieeexplore.ieee.org
In this paper, a new nonlinear decentralized disturbance attenuation excitation control for
multi-machine power systems is proposed based on recursive design without linearization …
multi-machine power systems is proposed based on recursive design without linearization …