Wind farm control design is a recently new area of research that has rapidly become a key
enabler for the development of large wind farm projects and their safe and efficient …

Smart grids are the result of a dynamic co-evolution process that leverages the integration of
new technological advances in the energy systems and information and communication …

Data-driven control without using mathematical models is a promising research direction for
urban traffic control due to the massive amounts of traffic data generated every day. This …

This paper proposes an optimal active power dispatch algorithm for wind farms based on
wind turbine (WT) load sensitivity. The control objectives include tracking power references …

As renewable energy sources such as wind farms become dominant, new challenges
emerge for operating and controlling them. Traditionally, wind farm control aims to dispatch …

We present a convolutional framework which significantly reduces the complexity and thus,
the computational effort for distributed reinforcement learning control of dynamical systems …

Active power control for wind farms is needed to provide ancillary services. One of these
services is to track a power reference signal with a wind farm by dynamically de-and …

Wind plant control strategies, such as axial and wake steering control, aim to improve the
performance of wind farms, including increasing energy production and decreasing turbine …

This paper proposes a distributed coordinated active and reactive power control scheme for
wind farms based on the model predictive control (MPC) along with the consensus-based …

A data-driven multi-objective predictive control approach is proposed to increase the power
production and reduce fatigue loads on a wind farm level using evolutionary optimization …