Developing more efficient wind turbines: A survey of control challenges and opportunities

A Shourangiz-Haghighi, M Diazd… - IEEE Industrial …, 2020 - ieeexplore.ieee.org
Wind energy has received considerable attention during the past two decades, owing to its
vital role in battling both the energy crisis and global climate change. Wind energy has …

An adaptive PV frequency control strategy based on real-time inertia estimation

Y Su, H Li, Y Cui, S You, Y Ma… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The declining cost of solar Photovoltaics (PV) generation is driving its worldwide
deployment. As conventional generation with large rotating masses is being replaced by …

Optimal allocation of energy storage system in DFIG wind farms for frequency support considering wake effect

L Xiong, S Yang, S Huang, D He, P Li… - … on Power Systems, 2021 - ieeexplore.ieee.org
Energy storage systems (ESSs) are being utilized to improve wind farms'(WF) frequency
support capability due to their high reliability, fast response and the dual role of energy users …

A hierarchical inertial control scheme for multiple wind farms with BESSs based on ADMM

W Bao, Q Wu, L Ding, S Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Wind farms (WFs) can provide inertial response to power systems through synthetic inertial
control. In large scale power systems with high penetration level of wind power, WFs are …

Recent development of grid-connected microgrid scheduling controllers for sustainable energy: A bibliometric analysis and future directions

M Mannan, M Mansor, MS Reza, MF Roslan… - IEEE …, 2024 - ieeexplore.ieee.org
This study presents a comprehensive bibliometric analysis of grid-connected microgrid (MG)
scheduling controller techniques. An extensive search was done in the Scopus database …

Approximating trajectory constraints with machine learning–microgrid islanding with frequency constraints

Y Zhang, C Chen, G Liu, T Hong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we introduce a deep learning aided constraint encoding method to tackle the
frequency-constraint microgrid scheduling problem. The nonlinear function between system …

Review on set‐theoretic methods for safety verification and control of power system

Y Zhang, Y Li, K Tomsovic… - IET Energy Systems …, 2020 - Wiley Online Library
Increasing penetration of renewable energy introduces significant uncertainty into power
systems. Traditional simulation‐based verification methods may not be applicable due to the …

Specified time consensus control of ESSs for frequency support with DFIG wind turbines

L Xiong, S Yang, Y He, P Li, S Huang, Z Wang… - International Journal of …, 2022 - Elsevier
Small scale energy storage systems (ESSs) can assist grid integration of doubly fed
induction generators (DFIG), potentially in power system frequency regulation. However, the …

Cyber‐physical system testbed for power system monitoring and wide‐area control verification

H Cui, F Li, K Tomsovic - IET Energy Systems Integration, 2020 - Wiley Online Library
The electric power system is intrinsically a cyber‐physical system (CPS) with power flowing
inthe physical system and information flowing in the cyber‐network. Testbeds arecrucial for …

Safe Supervisory Control of Soft Robot Actuators

AP Sabelhaus, ZJ Patterson, AT Wertz, C Majidi - Soft Robotics, 2024 - liebertpub.com
Although soft robots show safer interactions with their environment than traditional robots,
soft mechanisms and actuators still have significant potential for damage or degradation …