A novel combined MPPT-pitch angle control for wide range variable speed wind turbine based on neural network

Dahbi, Abdeldjalil; Naït-Saïd, Nasreddine; Naït-Saïd, Mohamed-Saïd

doi:10.1016/j.ijhydene.2016.03.105

Cited by 106 publications

(55 citation statements)

References 25 publications

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“…PI (with Gain scheduling) Collective pitch Robust and simple to design [41] Linear Quadratic Gaussian Individual pitch Multi-variable control, Kalman filter is used to estimate system states [26] Fuzzy logic Individual pitch Cover a wider range of operating conditions, cheaper to develop [24] Model predictive control Individual pitch Multi-processing input and output data in real time, ability to anticipate [36] Neural Network Individual pitch Learning ability in order to model nonlinear and complex system [25,42] Gaussian quadratic linear control methods seem to offer an optimal solution. In addition, this type of methods offers a good level of robustness in the case of nonlinear or multi-variable systems.…”

Section: Control Methods Strategies Description Referencesmentioning

confidence: 99%

Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends

et al. 2019

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The offshore wind resource has huge energy potential. However, wind turbine floating structures have to withstand harsh conditions. Strong wind and wave effects combine to generate vibrations, fatigue, and heavy loads on the structure and other elements of the wind turbine. These structural problems increase maintenance requirements and risk of failure, while reducing availability and energy production. Another challenge for wind energy is to reduce production costs in order to be competitive with other alternatives. From the control point of view, the objective of lowering costs can be achieved by operating the turbine close to its optimum point of operation under partial load, guaranteeing reliability by reducing structural loads and regulating the power generated in strong wind regimes. In this typical and challenging context, this paper proposes a critical state-of-the-art review, discussing challenges and trends on floating offshore wind turbines control.

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Section: Control Methods Strategies Description Referencesmentioning

confidence: 99%

Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends

et al. 2019

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“…The pitch angle controller is implemented to limit the aerodynamic power captured by the wind turbine when the wind velocity is above the rated value [14]. Several pitch angle controllers have been suggested in past literature [1,[15][16][17][18].…”

Section: Pitch Angle Controllermentioning

confidence: 99%

“…Energies 2017, 10, 1493 9 of 17 (14) where j w is the weight which connects the hidden layer and output layer.…”

Section: Radial Basis Function Networkmentioning

confidence: 99%

Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

2017

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Abstract:In this paper, a novel co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on a radial basis function network (RBFN) is proposed for a variable speed variable pitch wind turbine. The proposed controller is used to maximise output power when the wind speed is low and optimise the power when the wind speed is high. The proposed controller provides robustness to the nonlinear characteristic of wind speed. It uses wind speed, generator speed, and generator power as input variables and utilises the duty cycle and the reference pitch angle as the output control variables. The duty cycle is used to control the converter so as to maximise the power output and the reference pitch angle is used to control the generator speed in order to control the generator output power in the above rated wind speed region. The effectiveness of the proposed controller was verified using MATLAB/Simulink software.

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“…Optimization of the wind pitch controller for frequency control was designed [14][15][16][17] based on the genetic algorithm. A fuzzy logic controller was proposed for controlling the hybrid system [18][19][20], and a second type was based on artificial neural networks [21]. The particle swarm algorithm (PSO) is applied in [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

et al. 2019

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Frequency control represents a critically significant issue for the enhancement of the dynamic performance of isolated micro grids. The micro grid system studied here was a wind-diesel system. A new and robust optimization technique called the mine blast algorithm (MBA) was designed for tuning the PID (proportional-integral-differential) gains of the blade pitch controller of the wind turbine side and the gains of the superconducting magnetic energy storage (SMES) controller. SMES was implemented to release and absorb active power quickly in order to achieve a balance between generation and load power, and thereby control system frequency. The minimization of frequency and output wind power deviations were considered as objective functions for the PID controller of the wind turbine, and the diesel frequency and power deviations were used as objective functions for optimizing the SMES controller gains. Different case studies were considered by applying disturbances in input wind, load power, and wind gust, and sensitivity analysis was conducted by applying harsh conditions with varying fluid coupling parameter of the wind-diesel hybrid system. The proposed MBA-SMES was compared with MBA (tuned PID pitch controller) and classical PI control systems in the Matlab environment. Simulation results showed that the MBA-SMES scheme damped the oscillations in the system output responses and improved the system performance by reducing the overshoot by 75% and 36% from classical and MBA-based systems, respectively, reduced the settling time by 45% compared to other systems, and set the final steady-state error of the frequency deviation to zero compared to other systems. The proposed scheme was extremely robust to disturbances and parameter variations.

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A novel combined MPPT-pitch angle control for wide range variable speed wind turbine based on neural network

Cited by 106 publications

References 25 publications

Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends

Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends

Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

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