Real Time Study of P&amp;O MPPT Control for Small Wind PMSG Turbine Systems Using Arduino Microcontroller

Lahfaoui, Badreddine; Zouggar, Smail; Mohammed, Bourhaleb; Elhafyani, Mohamed Larbi

doi:10.1016/j.egypro.2017.03.263

Cited by 60 publications

(23 citation statements)

References 14 publications

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“…The P&O algorithm of Badreddine et al 14 takes more than 20 seconds to achieve MPP while the proposed algorithm only needs 12 seconds in the inception phase. When the wind speed increases from 8m/s to 10m/s, the time to get the MPP of the proposed algorithm is also faster than that in Badreddine et al 14 .…”

Section: Resultsmentioning

confidence: 83%

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Design of a MPPT controller for permanent magnet synchronous generator driven wind turbine

Truong

Huỳnh

Võ

2020

Sci. Tech. Dev. J.- Eng. Tech.

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Wind and other renewable energies are more and more developed all over the world, especially in countries with high wind potential such as Vietnam, to replace fossil energy, which would be exhausted in the near future. One important characteristic of wind turbines is that at each different wind speed, there exists a working point, represented by the rotation speed and the mechanical power at the crankshaft of the wind turbine, at which the maximum mechanical power is obtained, called maximum power point (MPP). Therefore, when the wind speed changes, this working point must be changed to be able to extract the maximum power from the wind to improve the total efficiency of the wind turbine system. This, in a wind energy conversion system (WECS), is assigned to the maximum power point tracking (MPPT) controller. In this paper, a MPPT controller is proposed, based on an improved Perturb and Observe (P&O) algorithm, for wind turbines using permanent magnet synchronous generator (PMSG), to maximize energy without measuring the wind speed and power characteristics of the wind turbine. An experimental model is also designed and tested in laboratory conditions, in which two coefficients K1 and K2 are used in turn when the working point is far or close to the maximum power point. The experimental results show that the proposed MPPT controller allows the extraction of maximum power from wind turbines under variable wind speed without determining the wind speed and characteristics of the wind turbine system.

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Section: Resultsmentioning

confidence: 83%

“…Oscillation around the MPP is also another inevitable disadvantage. All these drawbacks can significantly lower MPPT efficiency and may cause oscillation in the system 13,14 .…”

Section: Proposed Algorithm Conventional Pando Mppt Controllermentioning

confidence: 99%

Design of a MPPT controller for permanent magnet synchronous generator driven wind turbine

Truong

Huỳnh

Võ

2020

Sci. Tech. Dev. J.- Eng. Tech.

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“…Direct power controlled MPPT algorithms is usually subdivided into 3 forms, i. e., perturb and observe (P&O) [6], incremental conductance (IC) and fractional open-circuit voltage (FoCV) [8]. This kind of methods can monitor MPPT without separating the wind system in the event of real-time assessment [9].…”

Section: Fig 1 Representation Of Power Versus Speed For Various Winmentioning

confidence: 99%

Development of MPPT Algorithm and Wind Rose Model for Wind Farm in Maharashtra

Jadhav¹,

Thosar²

2020

IJEAT

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 Abstract: This work focuses on enhancements of the maximum power point tracking for wind energy village. This work also targeted on numerous variables like air density, wind speed and impression of other geographical regions specific ecological elements. The Incremental Conductance along with Fractional open Circuit Voltage algorithms are usually is much less fruitful and still has problem in determining perfect step-size. To eliminate such drawbacks we recommended Hybrid execution of MPPT algorithms for maximum power point tracking to achieve the best possible power operation. The algorithms are presented by using Matlab simulation. This paper also delivers results for wind farm for various climate conditions in Maharashtra region with wind rose analysis. The outcomes attained are ideal for equivalent weather conditions based on air density variations and Hybrid Algorithm execution can be applied to draw out maximum power point. Results shows that recommended method is more efficient maximum power point tracking method with less execution time for any renewable energy resources.

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“…However, optimal torques curves or look-up tables based on experiments are essential for this strategy [21,23]. The other category of MPPT algorithms is the DPC-based strategies which include various methods such as perturb & observe (P&O)/hill climb search (HCS) [24,25] and incremental conductance (IC) [26]. Generally, DPC strategies are commonly used in WECS due their simplicity and ease of implement [7].…”

Section: Introductionmentioning

confidence: 99%

“…Although the algorithm provides a fast-tracking speed, the need for wind speed measurement and the variation of k opt for different wind speeds are considered the main drawbacks of the algorithm. Moreover, several efficient P&O algorithms are recently proposed in [25,[36][37][38][39][40][41][42][43] to enhance the operation of variable-step-size P&O algorithms.…”

Section: Introductionmentioning

confidence: 99%

An efficient variable-step P&O maximum power point tracking technique for grid-connected wind energy conversion system

et al. 2019

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This paper proposes an efficient modular sector variable-step perturb and observe (VSPO) maximum power point tracking algorithm. The proposed algorithm enhances the speed tracking and minimizes oscillations level problems associated with traditional P&O methods. The routine of generating the variable step sizes depends on splitting the (P-ω) characteristic curve of wind turbines into modular sectors, in which the perturbation step size for each sector is selected by comparing a suggested ratio with another specified ratio designed according to the required accuracy. By continuously observing the distance between the actual rotor speed and the optimal rotor speed, the VSPO technique applies variable perturbation step sizes according to the current operating sector. Moreover, a wind speed estimation technique is used as a replacement of distributed anemometers for tracking the optimal rotor speed at different wind speeds. The studied system configuration includes three-phase back-to-back converter which is used to connect a 1.5 MW permanent magnet synchronous generator into the utility grid. Furthermore, the model predictive control is used for current control loop in the machine-side converter. To demonstrate the performance of the proposed algorithm, its simulation results are compared with the simulation results of conventional P&O technique under step and random wind variations. In addition, the algorithm performance is studied with real wind data (Hokkaido Island, Japan) using MATLAB/SIMULINK environment. Simulation results show that the VSPO ensures the high tracking speed of maximum power point, while the steady-state oscillation is significantly reduced. The proposed algorithm enhances the system efficiency by 3.5% over the conventional one.

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Real Time Study of P&O MPPT Control for Small Wind PMSG Turbine Systems Using Arduino Microcontroller

Cited by 60 publications

References 14 publications

Design of a MPPT controller for permanent magnet synchronous generator driven wind turbine

Design of a MPPT controller for permanent magnet synchronous generator driven wind turbine

Development of MPPT Algorithm and Wind Rose Model for Wind Farm in Maharashtra

An efficient variable-step P&O maximum power point tracking technique for grid-connected wind energy conversion system

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