Maximum Power Point Tracking for <scp>Stand‐Alone</scp> Wind Energy Conversion System Using <scp>FLC</scp>‐P&amp;O Method

Chaicharoenaudomrung, Koson; Areerak, Kongpol; Bozhko, Serhiy; Hill, Christopher Ian

doi:10.1002/tee.23246

Cited by 14 publications

(8 citation statements)

References 30 publications

(48 reference statements)

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“…This method, however, requires sensors to estimate the speed. The FLC approach presented in [37] very well addresses the issue of tracking speed and efficiency trade-off that occurs in CPO. Some advanced soft computing methods like neural networks (NN) and artificial neural networks (ANN) have also been found to be used to eliminate the issues of conventional techniques.…”

Section: A Nomenclaturementioning

confidence: 99%

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An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System

Pande,

Nasikkar,

Kotecha

et al. 2024

IEEE Access

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The conventional techniques employed for tracking maximum power suffer from several issues. The perturb and observe (P&O) algorithm is extremely popular among the conventional techniques for WECS to track and capture the maximum power point. The major issue with this algorithm is opting for an appropriate step size. A new technique is developed and described in this paper, which combines the trapezoidal rule and the fuzzy logic control technique, to address this issue. Two techniques are compared with the proposed algorithm: the trapezoidal rule-based P&O (TRPO) algorithm and the conventional P&O method to prove the superiority of the technique presented in this work. MATLAB/Simulink simulation showcases the enhancement of power by this technique. Randomly varying wind speeds were used to examine the power output of all three algorithms. The results obtained after simulation portray significant enhancement in DC output current, voltage, and power with considerable reduction in the oscillations by employing the proposed technique.

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Section: A Nomenclaturementioning

confidence: 99%

“…This issue is addressed in the proposed technique. Figure 4 depicts the relation between V dc and P dc [37] and also gives the selection for the step size for CPO. For an optimal value of V dc , a maximum P dc (MPP) is achieved.…”

Section: A Proposed Mppt Techniquementioning

confidence: 99%

An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System

Pande,

Nasikkar,

Kotecha

et al. 2024

IEEE Access

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“…First is the issue of the trade-off between speed and efficiency, and the second is the wrong direction change under high-speed fluctuations of the wind [35]. Fuzzy logic control (FLC) is clubbed together with the CPO MPPT algorithm [149]. Combining these two improves MPP tracking.…”

Section: Pando Based Hybrid Mppt Algorithmsmentioning

confidence: 99%

A Review of Maximum Power Point Tracking Algorithms for Wind Energy Conversion Systems

Pande

Nasikkar

Kotecha

et al. 2021

JMSE

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Renewable energy resources are gaining a lot of popularity. Several researchers have worked on the tracking and extraction of energy from these sources. In the past few decades, among the available green energy resources, wind energy has been the most attractive option among the resources available. It is imperative to use the maximum power available in the wind to achieve the wind turbine (WT) operation at maximum power. The maximum power point tracking (MPPT) algorithms are a pioneer in this context. Many research papers are contributed in this domain which necessitates a thorough review while choosing an appropriate technique. This paper comprehensively focuses on reviewing different algorithms in the past and present for tracking maximum power point, and capturing maximized output power from the wind energy conversion system (WECS). In this paper, the algorithms are classified based on the direct and indirect power measurement, hybrid and smart algorithms for tracking maximum power point, and they are compared, considering the parameters like complexity, convergence speed, use of sensors, memory requirement, need for knowledge of system parameters, etc. The immense popularity of the different versions of perturb and observe (P&O) based algorithms due to their various features is evident from the literature. The review reveals that the hybrid maximum power point tracking algorithms can use the advantages of the conventional methods and eliminate their drawbacks.

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“…For standalone electrification applications in remote areas where grid access is expensive or unavailable, off-grid small-size WESs are considered one of the cost-effective solutions in locations where wind energy is abundant 12 , 13 . Yet, some challenging aspects should be considered to maintain high reliability, minimal complexity and reduced cost of the considered decentralized WES.…”

Section: Introductionmentioning

confidence: 99%

Continuous input current buck DC/DC converter for small-size wind energy systems featuring current sensorless MPPT control

Zakzouk

2024

Sci Rep

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For decentralized electrification in remote areas, small-sized wind energy systems (WESs) are considered sustainable and affordable solution when employing an efficient, small-sized component converter integrated with a less-sophisticated, cost-effective MPPT controller. Unfortunately, using a conventional buck DC/DC converter as a MPP tracker suffer from input current discontinuity. The latter results in high ripples in the tracked rectified wind power which reduces the captured power and affects system operation especially in standalone applications which are self-sufficient and independent of grid support. Furthermore, these ripples propagate to the machine side causing vibration and torque stress which impacts turbine performance and safety. To solve this issue, a large electrolytic capacitor is placed at the buck converter input to buffer these ripples, yet at the cost of larger size, losses and reduced reliability. Oppositely, the developed C1, D4 and D6 buck converters have the merit of continuous input current at small component-size. In this paper, dynamic modelling of these three converters is developed to select the one with the least input current ripples to replace the traditional buck converter in the considered WES system. Consequently, fluctuations in the tracked power are minimized and the large buffer capacitor is eliminated. This enhances system lifetime, reduces its cost and increases tracking efficiency. Moreover, mechanical power and torque fluctuations are minimized, thus maintaining machine protection. Furthermore, a sensorless MPPT algorithm, based on converter averaged state-space model, is proposed. Being dependent on variable-step P&O algorithm, the proposed approach features simple structure, ease of control and a compromise between tracking time and accuracy besides reduced cost due to the eliminated current sensor. Simulation results verified the effectiveness of the selected converter applying the proposed MPPT approach to efficiently track the wind power under wind variations with cost-effective realization.

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Maximum Power Point Tracking for Stand‐Alone Wind Energy Conversion System Using FLC‐P&O Method

Cited by 14 publications

References 30 publications

An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System

An Ingenious Technique to Track the Maximum Power Point for a Wind Energy System

A Review of Maximum Power Point Tracking Algorithms for Wind Energy Conversion Systems

Continuous input current buck DC/DC converter for small-size wind energy systems featuring current sensorless MPPT control

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