This paper reviews the wind turbine aerodynamic noise and mechanical noise mechanism
and the de-noising methods in healthy condition monitoring (HCM). Fast development of the …

Accurate carbon pricing guidance is of great importance for the inhibition of excessive
carbon dioxide emissions. Aiming at improving forecast performance, a number of carbon …

This study reveals and supports the existence of a three‐way connection between
sustainable economic development (SED), geopolitical risks (GPRI), and the energy …

Signal processing is of vital importance to the incipient fault diagnosis and the safety running
of wind turbines. To adaptively eliminate noise and retain the underlying fault characteristic …

Model predictive control (MPC) is a very popular technique for doubly fed induction
generator (DFIG), and several MPC topologies have been proposed. However, most of the …

This paper proposes a Particle Swarm Optimization (PSO) based method, the Weighted-
Dynamic-Objective Constraint-Handling PSO Method (WDOCHM-PSO). This was used to …

This study presents a model predictive control (MPC) for a doubly fed induction generator
(DFIG) power control using a state‐space prediction model. Genetic algorithms (GAs) have …

This paper proposes a Generalized Predictive Control (GPC) for a Doubly Fed Induction
Generation (DFIG) applied to wind energy systems. The present controller uses state-space …

This paper proposes a Fuzzy Logic Controller for improvement of the steady-state response
of a Doubly Fed Induction Generator used in a wind energy system, and governed by means …

This article proposes the linear quadratic regulator with integrator to perform the power
control delivered to the grid by a doubly fed induction generator. For this, the machine model …