Comparative analysis of maximum power extraction and control methods between PMSG and PMVG-based wind turbine systems

Palanimuthu, Kumarasamy; Mayilsamy, Ganesh; Lee, Seong‐Ryong; Jung, Sang-Yong; Joo, Young Hoon

doi:10.1016/j.ijepes.2022.108475

Cited by 36 publications

(8 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where L s is the inductance of the stator winding, R s is the resistance of the stator winding, V ds , V qs , i qs , and i qs are the d-q components of the stator voltage and current, respectively, 𝜓 is the magnetic flux, and 𝜔 is electrical angular speed of the generator. The generator's output power and electromagnetic torque are provided as [17], P is the generator's pole number. That Table 2 contains the dimensions of the PMSG…”

Section: Pmsg Modelingmentioning

confidence: 99%

Maximum power optimization of a direct-drive wind turbine connected to PMSG using multi-objective genetic algorithm

Mrabet,

Benzazah,

El Akkary

et al. 2024

IJAPE

View full text Add to dashboard Cite

This work aimed to develop and evaluate a maximum power point tracking (MPPT) control system for a wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG). PMSG is commonly used to generate direct-drive and variable-speed wind energy. Initially, the generator and converter on the DC load side are controlled to follow the wind speed reference set by the MPPT algorithm. The paper presents the optimization problem formulation, including the optimization space, constraints, and objectives. The genetic algorithm (GA) is used to extract the maximum power from the WECS in this design improvement. In this study, to control and stabilize the maximum power point (MPP) of the wind turbine, a proportional integral (PI) controller and a GA heuristic approach were utilized. The GA approach was employed to determine the best settings (Kp, Ki) using MATLAB/Simulink with a 12.3 kW PMSG to model and simulate the proposed system. Based on four performance indicators-integrated squared error (ISE), integrated absolute error (IAE), integrated time absolute error (ITAE), and integrated time squared error (ITSE), the GA approach was used to optimize the controller settings. The results of the simulation show that the wind turbine (WT) can effectively track the necessary MPP. The simulation's output also includes generated power, DC bus voltage, electromagnetic torque, and currents.

show abstract

Section: Pmsg Modelingmentioning

confidence: 99%

Maximum power optimization of a direct-drive wind turbine connected to PMSG using multi-objective genetic algorithm

Mrabet,

Benzazah,

El Akkary

et al. 2024

IJAPE

View full text Add to dashboard Cite

show abstract

“…The q-axis reference current value is used to extract the maximum power, whereas the daxis is used to reduce the losses. The reference q-axis reference current, iqs * is obtained based on the optimum wind power, Popt, and it can be given out by [58] . * 2 2 1 3…”

Section: ) Mppt-based Two Pi Controllersmentioning

confidence: 99%

Improved Performance of Hybrid PV and Wind Generating System Connected to the Grid Using Finite-Set Model Predictive Control

et al. 2022

View full text Add to dashboard Cite

This article proposes coordinated model predictive control (MPC) techniques for a DC-coupled hybrid microgrid system with solar photovoltaic and wind generated system. To achieve optimum power generation in the microgrid, the finite-control-set MPC (FCS-MPC) controls both PV-wind generated power using a DC-DC converter and a controlled rectifier. The mathematical formulation of the proposed hybrid microgrid system is described, and maximum power point tracking is employed to guarantee that the grid receives the maximum power. Furthermore, the 3-Փ bidirectional two-level inverter is connected between the DC-bus and AC grid which is controlled by the grid side FCS-MPC controller. The FCS-MPC is used in all system control parts, eliminating the use of four proportional controllers (PI) and giving a better dynamic response. Additionally, the outcomes are evaluated in comparison to current techniques. The proposed power management technique is also based on the relationship between the overall demand and the produced power provided by both WDG and PV sources. Due to the unpredictability of the sources, several scenarios, including (i) Fixed radiation and fixed wind speed, (ii) Wind speed variation and constant radiation, and (iii) Changing solar radiation and steady wind speed, are considered to validate the performance of the proposed scheme. The findings are then discussed.

show abstract

“…Rainfall Impact (14) here, P ad is expressed as the final output power of WTS, considering the rainfall effect. Moreover, the aerodynamic power extraction of WTS during rainfall is analyzed through Figures 10-14.…”

Section: Wetness Modeling Of the Wt Bladesmentioning

confidence: 99%

“…However, trade-offs are associated with increasing scale, such as increasing the volume of production and construction cost [12]. Therefore, it has always been a challenging feat to construct large-scale wind turbines (WTs) with optimal weight, volume, and mass [13,14].…”

Section: Introductionmentioning

confidence: 99%

A Review of Recent Aerodynamic Power Extraction Challenges in Coordinated Pitch, Yaw, and Torque Control of Large-Scale Wind Turbine Systems

et al. 2022

Self Cite

View full text Add to dashboard Cite

As the impacts of environmental change become more severe, reliable and sustainable power generation and efficient aerodynamic power collection of onshore and offshore wind turbine systems present some of the associated key issues to address. Therefore, this review article aims to present current advances and challenges in the aerodynamic power extraction of wind turbines, associated supporting technologies in pitch, yaw, and torque control systems, and their advantages and implications in the renewable energy industry under environmental challenges. To do this, first, mathematical modeling of the environmental characteristics of the wind turbine system is presented. Next, the latest technological advances consider the environmental challenges presented in the literature, and merits and drawbacks are discussed. In addition, pioneering research works and state-of-the-art methodologies are categorized and evaluated according to pitch, yaw, and torque control objectives. Finally, simulation results are presented to demonstrate the impact of environmental issues, improvement claims, findings, and trade-offs of techniques found in the literature on super-large wind turbine systems. Thus, this study is expected to lay the groundwork for future intensive efforts to better understand the performance of large-scale wind turbine systems in addressing environmental issues.

show abstract

Comparative analysis of maximum power extraction and control methods between PMSG and PMVG-based wind turbine systems

Cited by 36 publications

References 44 publications

Maximum power optimization of a direct-drive wind turbine connected to PMSG using multi-objective genetic algorithm

Maximum power optimization of a direct-drive wind turbine connected to PMSG using multi-objective genetic algorithm

Improved Performance of Hybrid PV and Wind Generating System Connected to the Grid Using Finite-Set Model Predictive Control

A Review of Recent Aerodynamic Power Extraction Challenges in Coordinated Pitch, Yaw, and Torque Control of Large-Scale Wind Turbine Systems

Contact Info

Product

Resources

About