A novel improved variable-step-size P&amp;O MPPT method and effective supervisory controller to extend optimal energy management in hybrid wind turbine

Meghni, Billel; Ouada, Mehdi; Saad, Salah

doi:10.1007/s00202-019-00911-9

Cited by 20 publications

(14 citation statements)

References 38 publications

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“…If the distance between two particles is increased then, the G F is decreased [29,31], as shown in Figure 2. In Figure 2, F 1 represents the overall force which acts upon M 1 also get the acceleration vector a 1 .…”

Section: Figure 2 Masses' Acceleration Towards Resulting Forcementioning

confidence: 98%

“…The mathematical modelling of DFIG is presented by 6 × 6 state-space model matrix [23] and this matrix of DFIG model is used to improve the transient behaviour and unbalance grid voltage condition [37,38]. The supervisory PID controller for DFIG model ensures the steady-state behaviour [31].…”

Section: Wecs and Operating Mode Of The Dfigmentioning

confidence: 99%

“…The authors have discussed the various types of masses and corresponding gravitational forces. The relationship between the displacement and force acting between two objects as per gravitational law is explained in [29,31]. The GSA technique has been discussed by many researchers in the previous literature [32][33][34][35] and it is observed that this technique gives better performance as compared to other techniques including PSO.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Controller design for DFIG‐based WT using gravitational search algorithm for wind power generation

Bharti

Sarita

Vardhan³

et al. 2021

IET Renewable Power Gen

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This paper describes the controller design aspects of DFIG-based wind turbine system (WTS) using gravitational search algorithm (GSA). The appropriate control schemes are required for efficient and reliable functioning of the DFIG-based wind energy conversion system (WECS). The control algorithms are implemented in converters which are placed in the rotor end and grid side of the WECS. The controller design schemes are optimized for accurate, reliable and stable operations of WECS using GSA. The most commonly used other design techniques are bacterial foraging optimization (BFO), and particle swarm optimization (PSO). Moreover, the transfer function modeling of DFIG is also described in this paper. The results show that the proposed GSA technique with sixths order transfer function model of DFIG improves the transient performance including time of rising the response to 90%, settling time, and amplitude of peak overshoot. The proposed GSA technique is compared with the techniques already implemented in the previous research works including PSO and BFO. The DFIG-based WTS's output waveforms of voltage at dc-link, reactive power, and active power are improved using GSA based design technique. Finally, it is concluded that the GSA technique gives better results as compared with the PSO and BFO techniques.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Figure 2 Masses' Acceleration Towards Resulting Forcementioning

confidence: 98%

Section: Wecs and Operating Mode Of The Dfigmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Controller design for DFIG‐based WT using gravitational search algorithm for wind power generation

Bharti

Sarita

Vardhan³

et al. 2021

IET Renewable Power Gen

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show abstract

“…Fixed step size [42,[109][110][111] Challenging to decide the step size used for perturbation, and significant oscillation of the MPP is observed near the MPP.…”

Section: Generated Step Size Type Reference Remarksmentioning

confidence: 99%

“…Researchers have proposed sensorless MPPT algorithms for accurate measurement of wind speed as discussed in [142][143][144]. FLC-based and NN-based MPPT algorithms in which the prior knowledge of the WT is not required are discussed in [110][111][112].…”

Section: Smart Sensorless 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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An in-depth study of robust MPPT for extend optimal power extraction using wind speed compensation technique of wind generators

et al. 2023

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A novel improved variable-step-size P&O MPPT method and effective supervisory controller to extend optimal energy management in hybrid wind turbine

Cited by 20 publications

References 38 publications

Controller design for DFIG‐based WT using gravitational search algorithm for wind power generation

Controller design for DFIG‐based WT using gravitational search algorithm for wind power generation

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

An in-depth study of robust MPPT for extend optimal power extraction using wind speed compensation technique of wind generators

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