Full operational regimes for SPMSG-based WECS using generation of active current references

Ali, Muhammad Arif Sharafat; Mehmood, Khawaja Khalid; Kim, Chul‐Hwan

doi:10.1016/j.ijepes.2019.05.028

Cited by 12 publications

(6 citation statements)

References 40 publications

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“…The SPMSG stator-voltage dynamics in the SRF are described by (38), and they assist in the discussion of the MSC control scheme. The zero d-axis current control strategy is employed to provide the maximum electromagnetic torque (T em ), as the torque only depends on the q-axis component of the stator current [3]. It specifies that the generated power and stator q-axis current are virtually proportional.…”

Section: A Modeling Of Msc Controlmentioning

confidence: 99%

“…Considering that wind energy is a potential candidate for satisfying future energy needs, there have been significant developments in wind turbine (WT) technology with regard to size, control, and reliability. The concepts of variable-speed WTs and direct-drive wind-energy conversion systems (WECSs) have attracted special attention [3] because of their several inherent advantages, such as their high power density, operational efficiency, and reliability. Recently, the variable-speed WT equipped with a direct-drive permanent-magnet synchronous…”

Section: Introductionmentioning

confidence: 99%

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Wind-Speed Estimation and Sensorless Control for SPMSG-Based WECS Using LMI-Based SMC

et al. 2020

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To enhance system reliability and to reduce the cost and complexity, this paper presents an efficient wind-speed estimation method and a sensorless rotor-position/speed control method for a surface-mounted permanent-magnet synchronous generator (SPMSG)-based variable-speed direct-drive wind-energy conversion system (WECS). In this regard, sliding mode control (SMC) based on a linear matrix inequality (LMI) is proposed to estimate the rotor position of an SPMSG. This method depends on measured electrical quantities, such as stator voltages and estimated stator current error, to evaluate the back electromotive force components, which are used to estimate the rotor position. The rotor speed is assessed according to the rate of change of the estimated rotor position. The wind speed is estimated by estimating the backpropagation power flow according to the nonlinear dynamical power wind-speed characteristics of the wind turbine. In estimating the rotor position, the proposed LMI-based SMC design provides good steadystate and dynamic performances under all operating modes of the WECS. The proposed control schemes are validated by simulating a test system, i.e., a 250-kW SPMSG-based WECS, in MATLAB/Simulink. The results confirm the effectiveness and correctness of the designed control schemes in estimating and tracking the actual rotor position/speed and wind speed with trivial errors.INDEX TERMS Back electromotive force (BEMF), linear matrix inequality (LMI), sensorless control, sliding mode control (SMC), surface-mounted permanent-magnet synchronous generator (SPMSG), windenergy conversion system (WECS).

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Section: A Modeling Of Msc Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wind-Speed Estimation and Sensorless Control for SPMSG-Based WECS Using LMI-Based SMC

et al. 2020

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“…The massive integration of wind power is increasing globally since there is a growing demand in meeting electrical energy requirements with renewable energy sources. However, it has opened up new study fields in terms of the successful integration of windpower plants (WPPs) into the electrical power network [1,2], stable system operations [3,4], and grid assistance during transients [5,6]. Thus, better system security is possible if the WPPs remain attached to the grid during grid disturbances and assist transient voltage suppression.…”

Section: Introductionmentioning

confidence: 99%

Improved Transient Performance of a DFIG-Based Wind-Power System Using the Combined Control of Active Crowbars

Ali

2023

Electricity

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A significant electromotive force is induced in the rotor circuit of a doubly fed induction generator (DFIG) due to its high vulnerability to grid faults. Therefore, the system performance must be increased with appropriate control actions that can successfully offset such abnormalities in order to provide consistent and stable operations during grid disturbances. In this regard, this paper presents a solution based on a combination of an energy storage-based crowbar and a rotor-side crowbar that makes the effective transient current and voltage suppression for wind-driven DFIG possible. The core of the solution is its ability to restrict the transient rotor and stator overcurrents and DC-link overvoltages within their prescribed limits, thereby protecting the DFIG and power converters and improving the system’s ability to ride through faults. Further, the capacity of an energy storage device for transient suppression is estimated. The results confirmed that the proposed approach not only kept the transient rotor and stator currents within ±50% of their respective rated values in severe system faults but also limited the DC-link voltage variations under ±15% of its rated value, achieving transient control objectives precisely and maintaining a stable grid connection during the faults.

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“…An increase in the share of wind energy in existing electric networks affects the dynamic behaviors of power systems. Therefore, research on safe and stable power system operations with the massive integration of wind power plants (WPPs) has garnered significant attention [1,2]. Furthermore, evolving power systems are equipped with advanced control structures to ensure reliable and quality operations [3][4][5][6].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

“…It involves the voltage amplitude, phase angle, and frequency between the wind-turbine-generator terminal voltage and the grid voltage, with minimal deviations before establishing a connection [7][8][9]. The advantages of soft and fast grid synchronization are twofold: (1) It permits the grid connection of a DFIG with the least impact on the power system, and (2) it enables the fast reclosing of DFIGs immediately after grid faults, which is favorable in terms of providing voltage support to the grid and improving the fault ride-through capability of wind-energy conversion systems (WECSs).…”

Section: Introduction 1backgroundmentioning

confidence: 99%

LMI-Based State Feedback Control Structure for Resolving Grid Connectivity Issues in DFIG-Based WT Systems

Ali¹

2021

Eng

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Pertaining to the connectivity issues in wind power plants with grids, this study introduces an efficient mechanism based on a state feedback control structure to establish a fast and stable grid connection for a wind-driven doubly-fed induction generator (DFIG). Owing to a direct link through stator windings, a DFIG is significantly vulnerable to grid disturbances and experiences sizable inrush currents when connected to the power grid. The proposed control structure is designed based on a linear matrix inequality stabilization criterion, which is framed using a suitable Lyapunov candidate function. The control objective is to ensure that the stator voltage can exponentially converge to the grid voltage, accounting for balanced and unbalanced grid conditions. This is achieved by generating appropriate rotor voltage references for rotor-side converter control. This study also explores the capability of the proposed control structure to enhance the system’s robustness to external disturbances and uncertain parametric variations. Simulations confirmed the effectiveness and suitability of the developed structure in mitigating the adverse effects of the rapid onset of the grid voltage at the stator terminals of the DFIG under various grid conditions; the proposed structure could thus establish a reliable connection with negligible effects on the DFIG and the grid.

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Full operational regimes for SPMSG-based WECS using generation of active current references

Cited by 12 publications

References 40 publications

Wind-Speed Estimation and Sensorless Control for SPMSG-Based WECS Using LMI-Based SMC

Wind-Speed Estimation and Sensorless Control for SPMSG-Based WECS Using LMI-Based SMC

Improved Transient Performance of a DFIG-Based Wind-Power System Using the Combined Control of Active Crowbars

LMI-Based State Feedback Control Structure for Resolving Grid Connectivity Issues in DFIG-Based WT Systems

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