PCSMC design of permanent magnetic synchronous generator for maximum power point tracking

Yang, Bo; Zhong, Linen; Yu, Tao; Shu, Hongchun; Cao, Ping; An, Na; Sang, Yiyan; Jiang, Lin

doi:10.1049/iet-gtd.2018.5351

Cited by 31 publications

(9 citation statements)

References 42 publications

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“…The Equation (2) reveals that the captured power is a function of the power coefficient (C p ) and depends on TSR (λ) and pitch angle β as detailed in Equations ( 3)-( 5), [39]- [42] C p (β, λ) = 0.22( 116…”

Section: A Wind Turbine Aerodynamic Modelmentioning

confidence: 99%

Development of a Novel Efficient Maximum Power Extraction Technique for Grid-Tied VSWT System

et al. 2022

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The growing tendency of wind energy technology usage has induced researchers to seek more studies on the improvement of wind energy harvesting systems with highly reliable power injected into the electric grid. The amount of extracted wind energy by a wind turbine depends on the accuracy of the maximum power point tracking (MPPT) algorithm associated with the control scheme of the wind energy conversion system (WECS). This paper aims to present a novel development of MPPT algorithm based on parabolic prediction techniques (PPT) for variable speed wind turbines (VSWT) so as to achieve maximum wind power extraction and efficiency enhancement. The developed PPT-MPPT algorithm uses parabolic convex functions to estimate the parabola wind turbine output curve and locate the maximum power point on that curve. Simultaneously the algorithm establishes a systematic procedure for adjusting the concavity and the optimal part of the estimated parabola curve to make sure that the proposed technique is in continuous convergence. The feasibility of the developed PPT-MPPT algorithm has been validated under rapid and random changing wind speed profiles via the MATLAB/Simulink environment. The performance of the proposed PPT-MMPT algorithm is evaluated by comparing the simulation finding to those obtained using the benchmark perturb and observe(P&O) algorithms. The simulation outcomes affirm that the proposed PPT-MPPT algorithm outperformed the other algorithms in terms of tracking efficiency and extracted power which can be regarded as an efficacious manner to improve the VSWT system.

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Section: A Wind Turbine Aerodynamic Modelmentioning

confidence: 99%

Development of a Novel Efficient Maximum Power Extraction Technique for Grid-Tied VSWT System

et al. 2022

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“…Classic PI and PID controllers are used to enhance the MPPT dynamic performance by proper choosing controller gain values with optimization techniques [20]. These methods are not adequate to address the nonlinearity characteristics behaviors of wind turbine aerodynamics, wind flow and power converters [21]. Therefore, some of the more advanced methods, for instance, Fuzzy Logic Control (FLC) [22], back-stepping [23] and different sliding mode control (SMC) techniques [14,24] have been used in the WECS by researchers.…”

Section: Introductionmentioning

confidence: 99%

Energy Enhancement of Permanent Magnet Synchronous Generators Using Particle Swarm Optimization

Marisargunam¹,

Kalaivani²,

Maheswari³

2022

Intelligent Automation &Amp; Soft Computing

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Wind Energy Conversion Systems (WECS) are extensively used for connecting directly to grid sources. Permanent magnet synchronous generator (PMSG) based WECS is coupled to both grid and machine through converters. PMSG usually associated rectifiers with converters and voltage source converters at machine side. In this work, PMSG associated rectifiers with converters are considered for analysis of grid stability. The proposed work used Particle Swarm Optimization (PSO) based optimization methods for extraction of maximum power within boundary condition in WECS operation using PMSG. This hightech optimization has MPPT controller for pitch angle controller (PAC) combines with PSO optimized controllers for converter and grid power converters. PSO produces noteworthy optimum coefficients ensuring competent MPPT operation in PAC. Extensive simulation work has been carried out with power converter for current controller of rotor and grid side current controller in MATLAB Simulink environment to assess the proposed system performance in terms output voltage, output current, maximum power extraction. Energy and efficiency of the system when the PMSG based WECS energy injected into the electric grid. To prove the efficiency of the proposed method, the performances have been compared with and Bacteria foraging Algorithm (BFOA). Subsequently, it is evident that proposed PSO based method subsidizes maximum efficiency of MPPT controller by extracting maximum power compared to other conventional techniques.

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“…Several methodologies have been proposed to ameliorate flutter problems, such as observer schemes and smart control methods. Notwithstanding that these methodologies dwindle the flutter and mend the transient response under external intrusions and unmodeled dynamics, there are either time-consuming or calls for elaborated mathematics [24][25][26][27]. To slacken the impact of the flutter, an enhanced cuckoo optimization algorithm (ECOA) is used to automatically adjust the control parameters of robust SMC, thus maintaining PV system's splendid performance.…”

Section: Introductionmentioning

confidence: 99%

High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications

Chang

2020

Micromachines

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Photovoltaic (PV) power generation has been extensively used as a result of the limited petrochemical resources and the rise of environmental awareness. Nevertheless, PV arrays have a widespread range of voltage changes in a variety of solar radiation, load, and temperature circumstances, so a maximum power point tracking (MPPT) method must be applied to get maximum power from PV systems. Sliding mode control (SMC) is effectively used in PV power generation due to its robustness, design simplicity, and superior interference suppression. When the PV array is subject to large parameter changes/highly uncertain conditions, the SMC leads to degraded steady-state performance, poor transient tracking speed, and unwanted flutter. Therefore, this paper proposes a robust intelligent sliding mode MPPT-based high-performance pure sine wave inverter for PV applications. The robust SMC is designed through fast sliding regime, which provides fixed time convergence and a non-singularity that allows better response in steady-state and transience. To avoid the flutter caused by system unmodeled dynamics, an enhanced cuckoo optimization algorithm (ECOA) with automatically adjustable step factor and detection probability is used to search control parameters of the robust sliding mode, thus finding global optimal solutions. The coalescence of both robust SMC and ECOA can control the converter to obtain MPPT with faster convergence rate and without untimely trapping at local optimal solutions. Then the pure sine wave inverter with robust intelligent sliding mode MPPT of the PV system delivers a high-quality and stable sinusoidal wave voltage to the load. The efficacy of the proposed method is validated on a MPPT pure sine wave inverter system by using numerical simulations and experiments. The results show that the output of the proposed PV system can improve steady-state performance and transient tracking speed.

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PCSMC design of permanent magnetic synchronous generator for maximum power point tracking

Cited by 31 publications

References 42 publications

Development of a Novel Efficient Maximum Power Extraction Technique for Grid-Tied VSWT System

Development of a Novel Efficient Maximum Power Extraction Technique for Grid-Tied VSWT System

Energy Enhancement of Permanent Magnet Synchronous Generators Using Particle Swarm Optimization

High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications

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