A Review on State-of-the-Art Reviews in Wind-Turbine- and Wind-Farm-Related Topics

Sawant, Manisha; Thakare, Sameer; Rao, A. Prabhakara; Feijóo, Andrés; Bokde, Neeraj Dhanraj

doi:10.3390/en14082041

Cited by 34 publications

(17 citation statements)

References 85 publications

(171 reference statements)

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“…This preliminary concept used a more practical and stable actuation system which consists of a motor-driven worm gear drive and flexible torsion bar. Sawant et al [18] represented a review of state-of-the-art review works on wind-energy-related issues that classification into several main topics in the field of energy research.…”

Section: Introductionmentioning

confidence: 99%

Generating Electrical Power using Movement of Various Vehicles in New Lighting Base

2022

IJE

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T his work represent a proposed design to supply street lighting power using moving vehicles with an automatic system to guide the fluid flow. In the present design, wind turbines are integrated on the body of the lighting base, which can reduce the construction cost compared to previous designs and use the fluid flow of all vehicles movement with different dimensions to increase system efficiency. Also, present investigation, has been used an automatic system to direct the fluid flow to the wind turbines to increase the efficiency in supplying electricity, which was not installed in the previous designs. Other features of this system include the production of electricity in inappropriate weather and storm conditions, unlike previous designs that had to stop the wind turbine in these conditions to decrease damage. Finally, illuminating the streets and alleys, the stored energy can be used for other purposes, such as charging car batteries and lighting resort stations. Then, comparison between the best design of the third model based on lighting and second model with four vertical wind turbines (VWT ) and solar panel (SP), the power generation has increased by 35.55 %. Finally, using an automatic guidance systems (AGS) of fluid flow in the third model based on lighting, the power generation was enhamced by 64.86 %.

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Section: Introductionmentioning

confidence: 99%

Generating Electrical Power using Movement of Various Vehicles in New Lighting Base

2022

IJE

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“…At present, many results have been achieved in the study of fault diagnosis and prediction of wind turbines [15], [16]. Adouni uses multi-layer ANN technology to build a fault detection and identification method for wind turbines with This work is licensed under a Creative Commons Attribution 4.0 License.…”

Section: Introductionmentioning

confidence: 99%

Study of Wind Turbine Fault Diagnosis and Early Warning Based on SCADA Data

Shi¹,

Liu

Gao

2021

IEEE Access

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Wind turbine fault diagnosis and early warning are important to reduce wind farm operation and maintenance costs and improve power generation efficiency. In this paper, we take the Supervisory Control and Data Acquisition (SCADA) data as the research object and research wind turbine health data purification, fault diagnosis model building, and unit operation status monitoring from a completely datadriven perspective. Firstly, for the problem that Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm cannot identify high-density anomalous data. An anomaly data processing scheme combining a density clustering algorithm and normal power interval estimation is proposed. The accuracy of extracting health data from wind turbines is improved. Secondly, to address the problem that the eXtreme Gradient Boosting (XGBoost) algorithm has more hyperparameters, we propose an optimization scheme based on the Bayesian Optimization Algorithm (BOA) and tree model for feature weight measurement, which improves the efficiency and accuracy of intuitive mapping from SCADA system monitoring data to fault features. Finally, a wind turbine condition monitoring scheme based on the information fusion of multi-characteristic monitoring parameters is designed. The wind turbine condition monitoring scheme proposed in this paper can warn generator system failure 3.67 hours, gearbox system failure 5.

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“…A controller for extracting maximum power from the wind energy converting system is given in [18]. The reasons for the reduction in power system stability when renewable energy sources with power electronic converters are integrated with the grid and its effect on the flexibility of the power system, challenges and opportunities and the need for detailed stability studies to be carried out, to have a stable grid system in the future are reviewed [19][20][21][22]. Control of hybrid energy systems is discussed [23,24].…”

Section: Introductionmentioning

confidence: 99%

An ALO Optimized Adaline Based Controller for an Isolated Wind Power Harnessing Unit

Kodakkal

Rajagopal

Raju

et al. 2021

Designs

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A power generating system should be able to generate and feed quality power to the loads which are connected to it. This paper suggests a very efficient controlling technique, supported by an effective optimization method, for the control of voltage and frequency of the electrical output of an isolated wind power harnessing unit. The wind power unit is modelled using MATLAB/SIMULINK. The Leaky least mean square algorithm with a step size is used by the proposed controller. The Least Mean Square (LMS) algorithm is of adaptive type, which works on the online modification of the weights. LMS algorithm tunes the filter coefficients such that the mean square value of the error is the least. This avoids the use of a low pass filter to clean the voltage and current signals which makes the algorithm simpler. An adaptive algorithm which is generally used in signal processing is applied in power system applications and the process is further simplified by using optimization techniques. That makes the proposed method very unique. Normalized LMS algorithm suffers from drift problem. The Leaky factor is included to solve the drift in the parameters which is considered as a disadvantage in the normalized LMS algorithm. The selection of suitable values of leaky factor and the step size will help in improving the speed of convergence, reducing the steady-state error and improving the stability of the system. In this study, the leaky factor, step size and controller gains are optimized by using optimization techniques. The optimization has made the process of controller tuning very easy, which otherwise was carried out by the trial-and-error method. Different techniques were used for the optimization and on result comparison, the Antlion algorithm is found to be the most effective. The controller efficiency is tested for loads that are linear and nonlinear and for varying wind speeds. It is found that the controller is very efficient in maintaining the system parameters under normal and faulty conditions. The simulated results are validated experimentally by using dSpace 1104. The laboratory results further confirm the efficiency of the proposed controller.

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A Review on State-of-the-Art Reviews in Wind-Turbine- and Wind-Farm-Related Topics

Cited by 34 publications

References 85 publications

Generating Electrical Power using Movement of Various Vehicles in New Lighting Base

Generating Electrical Power using Movement of Various Vehicles in New Lighting Base

Study of Wind Turbine Fault Diagnosis and Early Warning Based on SCADA Data

An ALO Optimized Adaline Based Controller for an Isolated Wind Power Harnessing Unit

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