Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions

Kong, Xiaobing; Ma, Lele; Liu, Xiangjie; Abdelbaky, Mohamed Abdelkarim; Wu, Qian

doi:10.3390/en13010184

Cited by 46 publications

(32 citation statements)

References 31 publications

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“…As previously restated in a number of references, the WTS resultant power is defined as a combination of power coefficient C p and other physical components. Generally speaking, C p is a function of two fundamental parts including tip speed ratio (λ) and the blade pitch angle (β), it is the power capturing efficiency of the WTS and defined below [39]:…”

Section: Model Of the Wind Turbinementioning

confidence: 99%

Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles

et al. 2020

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The number of electric vehicles and renewable energy resources integrated into the power system is increasing day by day. The objective behind the development of electric vehicles and renewable energy sources is to build a sustainable and green power system. The renewables either don't possess system inertia or have less system inertia, therefore, they don't effectively respond to the load variations. The battery storage system of electric vehicles is used as the first line of defense to counter the effect of load/frequency variations and make the system stable. As active power is inversely proportional to the system frequency, for this purpose electric vehicles are included in the microgrid environment. In this paper, an isolated microgrid having a reheat turbine system, wind turbine system, photovoltaic system, and electric vehicles is studied. The output of the renewables is not controlled to utilize its maximum output power. Therefore, adaptive droop control and fuzzy PI control mechanisms are implemented to cater to the frequency variations of the isolated microgrid; the former regulates the power of electric vehicles while maintaining the energy needs of each EV and the later controls the output power of reheat turbine system according to the frequency variation. Furthermore, the genetic algorithm optimization toolbox is utilized to optimize the parameters of the adaptive and fuzzy PI controllers. The proposed model is developed in MATLAB/Simulink which shows that these control techniques effectively sustained the system frequency of isolated microgrid in the desired limits. INDEX TERMS Adaptive droop control, electric vehicles, frequency regulation, fuzzy PI control, GA optimization technique, renewable energy sources, reheat turbine system.

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Section: Model Of the Wind Turbinementioning

confidence: 99%

Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles

et al. 2020

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“…Theorem 2: If the optimization problem (26) has a solution at time k, MJS (9) is quadratically bounded with stochastical Lyapunov matrix P k (r k ). The set Ω = {x k |x T k P k (r k )x k ≤ γ(k)} is a robust invariant ellipsoid of MJS (9) and (26) is feasible at time k + 1.…”

Section: Online Mode-dependent Mpc Designmentioning

confidence: 99%

Constrained Model Predictive Control for Nonlinear Markov Jump System With Persistent Disturbance via Quadratic Boundedness

Feng

Gao

2020

IEEE Access

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In this paper, a robust quadratic-boundedness-based model predictive control (MPC) scheme, for a discrete-time nonlinear Markov jump system (MJS), is extended to the case with persistent bounded disturbance and nonhomogeneous transition probability. By applying the S-procedure, the constraint conditions, the persistent bounded disturbance and the sufficient stability conditions are all derived in term of a few linear matrix inequalities (LMIs), thus the original min-max optimization problem is transformed into a convex optimization problem in LMI paradigm. At each sampling time, the control moves satisfying the control constraint are obtained online and implemented in the nonlinear MJS. Quadratically boundedness and min-max MPC are combined to achieve the closed-loop stochastic stability of the controller with respect to the persistent bounded disturbance. A numerical example is presented to demonstrate the effectiveness of the proposed results. INDEX TERMS Model predictive control, nonlinear Markov jump system, quadratic boundedness, persistent disturbance, stochastic stability, linear matrix inequality.

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“…The power providers are warranted to ensure stable, smooth, and safe power supply conforming to a pure sinusoidal voltage signal to the end-user [2]. At present-day, with the worldwide energy crisis becoming increasingly conspicuous and environmental pollution becoming increasingly serious, worldwide renewable generation technologies have been developed rapidly [3][4][5]. However, the introduction of power electronics, necessitated by the presence of renewable energy sources (RES) at the distribution junction inflicts distortions in current and voltage causing difficulties in ensuring smooth electric supply [6].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Power Converters Performance by an Efficient Use of Dead Time Compensation Technique

et al. 2020

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The advent of renewable energy resources and distributed energy systems herald a new set of challenges of power quality, efficient distribution, and stability in the power system. Furthermore, the power electronic converters integration has been increased in interfacing alternate energy systems and industries with the transmission and distribution grids. Owing to the intermittency of renewable energy resources and the application of power electronic converters the power distribution faces peculiar challenges. The dead-time effects are among the main challenges, which leads to the distortion of third harmonics, phase angle, torque pulsation, and induction motor current, causing severe quality problems for power delivery. To tackle these problems, this paper proposes a novel dead time compensation technique for improving the power quality parameters and improving the efficiency of power converters. The proposed model is simulated in MATLAB and the parametric equations are plotted against the corresponding parametric values. Furthermore, by implementing the proposed strategy, significant improvements are attained in the torque pulsation, speed, and total harmonic distortion of the induction motor. The comparisons are drawn between with and without dead time compensation technique, the former shows significant improvements in all aspects of the power quality parameters and power converters efficiency.

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Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions

Cited by 46 publications

References 31 publications

Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles

Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles

Constrained Model Predictive Control for Nonlinear Markov Jump System With Persistent Disturbance via Quadratic Boundedness

Improvement of Power Converters Performance by an Efficient Use of Dead Time Compensation Technique

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