MPPT Control Paradigms for PMSG-WECS: A Synergistic Control Strategy With Gain-Scheduled Sliding Mode Observer

Khan, Umar; Khan, Qudrat; Khan, Laiq; Alam, Waqar; Ali, Nihad; Khan, İlyas; Nisar, Kottakkaran Sooppy; Khan, Riaz Ahmad

doi:10.1109/access.2021.3119213

Cited by 13 publications

(4 citation statements)

References 18 publications

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“…Another set of terms to define are the generator speed https:// journal.uob.edu.bh (pu) and synchronous generator torque T m (pu). As per the rotor of PMSG, an applied torque can be addressed as follows [8], [65], [66].…”

Section: Modelling Wind Energy Conversion System Based Algorithmsmentioning

confidence: 99%

Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Badawi,

Ali,

M. Elzein

et al. 2024

IJCDS

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This paper presents a novel Maximum Power Point Tracking (MPPT) algorithm designed for Wind Energy Conversion Systems (WECS) to achieve optimal power extraction (P max ). The controllers employed in this study utilize a Direct Power Control (DPC) framework to assess efficiency and performance, particularly under uncertain and rapid variations in wind speed profiles. The research aims to evaluate the effectiveness of the Incremental Conductance (INC) and adaptive Hill-Climbing Search (HCS) algorithms for MPPT in WECS under such conditions. The modeling of the WECS system utilizes a Permanent Magnet Synchronous Generator (PMSG) due to its reliability and robustness. Simulation results demonstrate the significant impact of wind speed on rotor speed and electromagnetic torque, highlighting the proportional relationship between wind speed parameters and power output. The controller performance is evaluated using INC and adaptive HCS, with the latter demonstrating superior efficiency under rapid wind speed changes. Additionally, simulation results show that the INC algorithm exhibits rapid tracking capability in approaching the peak maximum power point. Overall, this study provides valuable insights into the performance of MPPT algorithms in WECS, particularly under varying wind conditions.

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Section: Modelling Wind Energy Conversion System Based Algorithmsmentioning

confidence: 99%

Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Badawi,

Ali,

M. Elzein

et al. 2024

IJCDS

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show abstract

“…In this regard, many control approaches are developed to compensate for disturbances in the WECS in feedforward and feedback schemes. The disturbance observer-based controls (DOBCs) use sophisticated disturbance observers such as sliding mode observer (SMO) [9], high-order disturbance observer (HODO) [10]- [13], extended state observer (ESO) [14]- [17], in feedforward scheme along with base feedback controller. While HODO synthesized with linear [12], [18], [19], and nonlinear [10], [11], [20], feedback controllers are associated with DOBC, the ESO synthesized with feedback controllers are called active disturbance rejection control (ADRC) [14]- [16], [21] which has shown its superiority over field-oriented (FOC) approach [17].…”

Section: Introductionmentioning

confidence: 99%

Output Regulation-Based Optimal Control System for Maximum Power Extraction of a Machine-Side Power Converter in Variable-Speed WECS

Sarsembayev,

Zhakiyev,

Kushekkaliyev

et al. 2024

IEEE Access

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In this study, the integral linear quadratic regulator (LQR) with servomechanism for machineside power converter in PMSG-based variable-speed wind energy conversion systems (WECSs) has been proposed. The solution of the algebraic Riccati equation (ARE) has been found for the extended dimension of the state space equation of the system. The state vector has been extended with the integral of the angular shaft speed of the permanent magnet synchronous generator (PMSG) to penalize the errors. The maximum power tracking point (MPPT) algorithm is achieved by minimizing tracking errors between the angular shaft speed reference based on wind speed estimation and its actual values in the variable speed WECS. Also, the estimated aerodynamic torque is used to define the reference electromagnetic torque. This is possible when WECS is partially loaded and pitches angles are fixed at the position to generate maximum power. The mean absolute percentage error of the angular shaft speed of the PMSG-based WECS has been reduced by more than 71% under model uncertainty and noise presented case than in the traditional disturbance observersbased compensation scheme. While the disturbance observers for estimation model uncertainty are eliminated, the use of the high order disturbance observer for aerodynamic torque estimation proved to be necessary to enhance the reliability of wind speed sensors and hence the whole WECS.INDEX TERMS wind energy conversion system (WECS), permanent magnet synchronous generator (PMSG), linear output feedback controller, integral servomechanism-based control, linear quadratic regulator (LQR), optimal tip speed ratio (TCR), maximum power point tracking (MPPT)

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“…Several studies based on SMC have been conducted on wind power applications to solve the MPPT problems. To limit the impact of nonlinear and uncertain components, the dynamic model is identified using a neural network in References 6–8. Following that, the use of SMC is employed for the purpose of tracking control of the WECS.…”

Section: Introductionmentioning

confidence: 99%

Optimal captured power control of variable speed wind turbine systems: Adaptive dynamic programming approach

2024

Adaptive Control & Signal

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SummaryAn adaptive optimal controller is proposed in this paper to maximize the captured power of a variable speed wind power system. The proposed controller is a combination of optimal and adaptive control components. The Adaptive Dynamic Programming technique is used to design the optimal control component to overcome the nonlinear problem of system dynamics and ensure stability. While the neural network is used to approximate unknown disturbances and system uncertainties. After that, the adaptive control component fully compensates for the effects of these unknown elements. Neither optimal nor adaptive control components necessitate prior knowledge of system dynamics. Furthermore, the approximation network updates only the weight matrix norm rather than the weight matrix of the neural network in each interval time, which significantly reduces computation. The stability analysis of the closed‐loop system is obtained using Lyapunov stability theory. The correctness and robustness of the control scheme are validated in two different scenarios using MATLAB/Simulink. The presented robust adaptive optimal controller is also compared to other existing controllers to demonstrate its benefits.

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MPPT Control Paradigms for PMSG-WECS: A Synergistic Control Strategy With Gain-Scheduled Sliding Mode Observer

Cited by 13 publications

References 18 publications

Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Performance Evaluation of Incremental Conductance and Adaptive HCS MPPT Algorithms for WECS

Output Regulation-Based Optimal Control System for Maximum Power Extraction of a Machine-Side Power Converter in Variable-Speed WECS

Optimal captured power control of variable speed wind turbine systems: Adaptive dynamic programming approach

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