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A comprehensive review on the advances in renewable wind power technology 可再生风力发电技术进展综述
IF 1.5
Wind Engineering Pub Date : 2022-12-14 DOI: 10.1177/0309524X221124059
Patri Venkata Sesha Sudha Arundathi Parimala, D. Sharma, R. Mathew
{"title":"A comprehensive review on the advances in renewable wind power technology","authors":"Patri Venkata Sesha Sudha Arundathi Parimala, D. Sharma, R. Mathew","doi":"10.1177/0309524X221124059","DOIUrl":"https://doi.org/10.1177/0309524X221124059","url":null,"abstract":"In recent years, renewable energy generation, storage, and transmission has been the focus of research. Extraction of power from renewable energy sources is increasing rapidly. Progressively more wind farms are being fastened to the power grid. Large-scale merging of wind farms into electrical power grid presents a few challenges like voltage stability, system operation and control, and power quality due to usage of power electronic converters presenting a major bottleneck. This paper elucidates various types of wind power plant technologies, consequences of power electronic converters and reviews various types of system strength determination methods.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"712 1","pages":"442 - 463"},"PeriodicalIF":1.5,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78725624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Overview of control strategies for wind turbines: ANNC, FLC, SMC, BSC, and PI controllers 风力涡轮机控制策略概述:ANNC, FLC, SMC, BSC和PI控制器
IF 1.5
Wind Engineering Pub Date : 2022-12-01 DOI: 10.1177/0309524X221109512
Mourad Yessef, B. Bossoufi, M. Taoussi, A. Lagrioui, Hamid Chojaa
{"title":"Overview of control strategies for wind turbines: ANNC, FLC, SMC, BSC, and PI controllers","authors":"Mourad Yessef, B. Bossoufi, M. Taoussi, A. Lagrioui, Hamid Chojaa","doi":"10.1177/0309524X221109512","DOIUrl":"https://doi.org/10.1177/0309524X221109512","url":null,"abstract":"The design of robust and precise control of obtaining maximum power yield is an important area of research in wind engineering. In the context of maximizing the amount of power extraction in wind energy conversion systems (WECS), this research work proposes and evaluates five MPPT algorithms. These types are respectively a proportional integral controller (PI), a non-linear control based on sliding modes (SMC), a backstepping approach (BSC), a control using artificial intelligence based on neural network (ANNC), and a fuzzy logic control (FLC). Two different wind profiles, a step wind profile and a real wind profile, were considered for the comparative study. The response time, dynamic error percentage, and static error percentage were the quantitative parameters compared, and the qualitative parameters included set-point tracking and precision. This test demonstrated the superiority of the ANNC controller with an error static that not exceed 0.39% and a response time ~0.0024 seconds.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"29 1","pages":"1820 - 1837"},"PeriodicalIF":1.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82289703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Comparison of primary frequency control methods for wind turbines based on the doubly fed induction generator 基于双馈感应发电机的风力发电机主要频率控制方法的比较
IF 1.5
Wind Engineering Pub Date : 2022-12-01 DOI: 10.1177/0309524X221114350
Mauro Amaro Pinazo, Ronal Antara Arias, Jorge Luis Mírez Tarrillo
{"title":"Comparison of primary frequency control methods for wind turbines based on the doubly fed induction generator","authors":"Mauro Amaro Pinazo, Ronal Antara Arias, Jorge Luis Mírez Tarrillo","doi":"10.1177/0309524X221114350","DOIUrl":"https://doi.org/10.1177/0309524X221114350","url":null,"abstract":"The penetration of large levels of wind energy leads to technical problems affecting the frequency stability of the power system. Naturally, a wind power plant does not provide an inertial response nor does it regulate the system frequency in case of generation-demand imbalance due to the decoupling between the rotor speed and the grid frequency through the electronic converter (AC/DC/AC). This paper reviews, analysis and compares the performance of four control methods based on the modification of the electromagnetic torque set point and one of the mechanical torque. These methods allow that activation of the wind turbine inertia when a frequency deviation occurs, contributing to the regulation of the system frequency similarly to a conventional synchronous generator. However, wind turbines only change their operating point for a limited time and not permanently.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"48 1","pages":"1923 - 1947"},"PeriodicalIF":1.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81002434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A STL decomposition-based deep neural networks for offshore wind speed forecasting 基于STL分解的深度神经网络海上风速预报
IF 1.5
Wind Engineering Pub Date : 2022-12-01 DOI: 10.1177/0309524X221106184
Yanxia Ou, Li Xu, J. Wang, Yang Fu, Yuan Chai
{"title":"A STL decomposition-based deep neural networks for offshore wind speed forecasting","authors":"Yanxia Ou, Li Xu, J. Wang, Yang Fu, Yuan Chai","doi":"10.1177/0309524X221106184","DOIUrl":"https://doi.org/10.1177/0309524X221106184","url":null,"abstract":"Accurate prediction of offshore wind speed is of great significance for optimizing operation strategies of offshore wind power. Here, a novel hybrid algorithm based on seasonal-trend decomposition with loess (STL) and auto-regressive integrated moving average (ARIMA)- long short-term memory neural network (LSTM) is proposed to eliminate seasonal factors in wind speed and fully exert the advantages of ARIMA processing linear series and LSTM processing nonlinear series. Moreover, wind speed are comprehensively preprocessed and statistically analyzed. Then, we handle information leakage problem. Finally, STL-ARIMA-LSTM model is applied to wind speed forecasting on 3 time-scales. The proposed model has the highest accuracy and resolution for the trend and periodicity of wind speed, and the lag problem of very shortterm wind speed prediction can be solved. This study also shows that when predicting offshore wind speed, we can handle the strong intermittence, volatility and outliers in wind speed by gradually adjusting time scale.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"2013 1","pages":"1753 - 1774"},"PeriodicalIF":1.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86202468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Design and simulation of wind energy conversion system commanded by converter and mechanical brake 由变流器和机械制动器控制的风能转换系统的设计与仿真
IF 1.5
Wind Engineering Pub Date : 2022-11-22 DOI: 10.1177/0309524X221136543
S. Tounsi
{"title":"Design and simulation of wind energy conversion system commanded by converter and mechanical brake","authors":"S. Tounsi","doi":"10.1177/0309524X221136543","DOIUrl":"https://doi.org/10.1177/0309524X221136543","url":null,"abstract":"This paper concern the design and control of a wind energy conversion system regulating generator phase’s currents, voltages, and batteries charging voltage using barking systems and AC–DC converter. Indeed, the braking system permit the regulation of the generator’s angular speed and electromotives forces magnitude, and the AC–DC converter permit the regulation of the phase’s voltages, currents, and the batteries charging voltage. This method is suitable for permanent magnet axial flux synchronous generators and for Insulated Gate Bipolar Transistor converters (IGBT). In addition, we propose an innovative strategy to push the problem of adding an impedance matching transformer to minimize the over-current effect caused by the sudden variation of the voltage at the generator inductor using the AC–DC converter. It offers the advantage of power chain cost reduction and the improvement of its performances. The overall model of the power chain is implemented under the simulation environment MATLAB-Sumilink for performances analysis of studied structure.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"110 1","pages":"564 - 578"},"PeriodicalIF":1.5,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74352681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of vertical axis wind turbine blade for off-shore applications 海上应用垂直轴风力机叶片分析
IF 1.5
Wind Engineering Pub Date : 2022-11-22 DOI: 10.1177/0309524X221131999
T. Manzoor, G. A. Gohar, Asim Asghar, S. Manzoor
{"title":"Analysis of vertical axis wind turbine blade for off-shore applications","authors":"T. Manzoor, G. A. Gohar, Asim Asghar, S. Manzoor","doi":"10.1177/0309524X221131999","DOIUrl":"https://doi.org/10.1177/0309524X221131999","url":null,"abstract":"In this work, static and dynamic analyses are carried out on VAWT blade using analytical and numerical methods to figure out reasons behind the failure in the blade for off-shore applications arising due to turbulence of wind. The design flaws and different operating conditions play major role in failure of blades. Fatigue life cycles, natural frequencies of blade in different modes and turbine harmonic frequency have been calculated analytically using Goodman’s and vibration analysis theories respectively. In analysis, life cycles, natural frequencies and mode shapes for VAWT blade are studied. Analytical and numerical results have been compared, life cycles and frequencies are determined. The numerical results showed good agreement with theoretical concepts.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"35 1","pages":"499 - 514"},"PeriodicalIF":1.5,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81577135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AOA based optimal control of combined AVR-LFC model in wind integrated power system 基于AOA的风力发电系统AVR-LFC组合模型最优控制
IF 1.5
Wind Engineering Pub Date : 2022-11-22 DOI: 10.1177/0309524X221133791
Amita Singh, Veena Sharma, Vineet Kumar, R. Naresh, O. P. Rahi
{"title":"AOA based optimal control of combined AVR-LFC model in wind integrated power system","authors":"Amita Singh, Veena Sharma, Vineet Kumar, R. Naresh, O. P. Rahi","doi":"10.1177/0309524X221133791","DOIUrl":"https://doi.org/10.1177/0309524X221133791","url":null,"abstract":"This manuscript analyses a case study of a wind-integrated power plant where an Arithmetic Optimization Algorithm-based Model Predictive Controller (AOA-MPC) has been employed for the combined control of voltage and frequency. The work in this manuscript considers stochastic variations in wind output caused by the small stochastic drifts and sudden deterministic shifts in the wind turbine output. The proposed controller’s performance has been judged after assessing the time response performance specifications/indices and comparing it with the existing recent methodologies available in the literature. Further improvement in frequency oscillations reduction has been obtained while considering the Redox Flow Battery (RFB) loop as an auxiliary Load Frequency Control loop. Moreover, the computational potential of the presented algorithm has been tested under different nonlinearities and time delay cases in the Area Control Error (ACE) of the load frequency control (LFC) loop.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"512 1","pages":"515 - 527"},"PeriodicalIF":1.5,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77847778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A comparison study of HRES for electrification of a rural city in Algeria 阿尔及利亚农村城市电气化的HRES比较研究
IF 1.5
Wind Engineering Pub Date : 2022-11-08 DOI: 10.1177/0309524X221133810
A. Yahiaoui, A. Tlemçani
{"title":"A comparison study of HRES for electrification of a rural city in Algeria","authors":"A. Yahiaoui, A. Tlemçani","doi":"10.1177/0309524X221133810","DOIUrl":"https://doi.org/10.1177/0309524X221133810","url":null,"abstract":"Optimization is one of the most important branches of applied mathematics and much research both practical and theoretical has been devoted to it. In this in this paper we have used the software HOMER to solve optimization problem on optimal sizing of three hybrid renewable energy systems involving of PV panel, wind turbine, battery bank, electrolyzer, H2 tank, and fuel cell for possible installation in Timimoun city in Algeria desert. The proposed systems are applied for optimal configuration, minimization of the total net present cost (TNPC) and cost of energy (COE). The study showed us that each system provides electrical power for this region, TNPC of the PV/Wind/Battery system is 22,621,932 $ with COE of 1.673 $/kWh, it is the most expensive system that we cannot adopt because of its high cost. The PV/Wind/Electrolyzer/H2 tank/Fuel cell system is cheaper than the first in terms of TNPC which equal 14,945,818 $ with COE of 1.105 $/kWh. This system is also undesirable because it is more expensive than the PV/Wind/Battery/Electrolyzer/H2 tank/Fuel cell hybrid system. The TNPC of this system is 12,322,474 $ with COE of 0.912 $/kWh, which makes it cheaper than the first two systems. The results prove that the hybrid PV/Wind/Battery/Electrolyzer/H2 tank/Fuel cell system meet the electrical energy need of the region.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"60 1","pages":"528 - 545"},"PeriodicalIF":1.5,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86114456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Analysis for the prediction of solar and wind generation in India using ARIMA, linear regression and random forest algorithms 利用ARIMA、线性回归和随机森林算法对印度太阳能和风能发电进行预测分析
IF 1.5
Wind Engineering Pub Date : 2022-11-03 DOI: 10.1177/0309524X221126742
Brajlata Chauhan, Rashida Tabassum, S. Tomar, A. Pal
{"title":"Analysis for the prediction of solar and wind generation in India using ARIMA, linear regression and random forest algorithms","authors":"Brajlata Chauhan, Rashida Tabassum, S. Tomar, A. Pal","doi":"10.1177/0309524X221126742","DOIUrl":"https://doi.org/10.1177/0309524X221126742","url":null,"abstract":"This work focused on the prediction of generation of renewable energy (solar and wind) using the machine learning ML algorithms. Prediction of generation are very important to design the better microgrids storage. The various ML algorithms are as logistic regression LR and random forest RA and the ARIMA, time series algorithms. The performance of each algorithm is evaluated using the mean absolute error, mean squared error, root mean squared error, and mean absolute percentage error. The MAE value for the ARIMA (0.06 and 0.20) model for solar and wind energy is very less as compared to RF (15.65 and 61.73) and LR (15.78 and 54.65) of solar and wind energy. Same with MSE and RMSE, the MSE and RMSE value for the ARIMA of solar energy model obtained is 0.01 and 0.08 and wind energy is 0.07 and 0.27 respectively. Comparative analysis of all of these matrices of each algorithm for both the dataset, we concluded that the ARIMA model is best fit for the forecasting of solar energy and wind energy.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"1 1","pages":"251 - 265"},"PeriodicalIF":1.5,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87950563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GPU simulation of wake effects at the Horns Rev 1 offshore wind farm using the CFD porous disk wake model 利用CFD多孔盘尾流模型对Horns Rev 1海上风电场尾流效应进行GPU模拟
IF 1.5
Wind Engineering Pub Date : 2022-11-02 DOI: 10.1177/0309524X221132003
T. Uchida, Teppei Tanaka, Ryuta Shizui, Hiroto Ichikawa, Ryo Takayama, Kazuomi Yahagi, Ryoya Okubo
{"title":"GPU simulation of wake effects at the Horns Rev 1 offshore wind farm using the CFD porous disk wake model","authors":"T. Uchida, Teppei Tanaka, Ryuta Shizui, Hiroto Ichikawa, Ryo Takayama, Kazuomi Yahagi, Ryoya Okubo","doi":"10.1177/0309524X221132003","DOIUrl":"https://doi.org/10.1177/0309524X221132003","url":null,"abstract":"To verify the effectiveness of the GPU simulation of wake effects at a large-scale offshore wind farm, we ran an in-house large-eddy simulation (LES) solver with a CFD porous disk wake model for the Horns Rev 1 wind farm. For this numerical research, we prepared the latest workstation equipped with a Xeon W-2265 CPU and an NVIDIA RTX A6000 GPU. We clarified that the calculation speed of the single GPU of the NVIDIA RTX A6000 is approximately 10 times faster than the calculation speed of the Xeon W-2265. Careful data analysis and visualization of the unsteady turbulent flow fields obtained in the current LES study suggest that the mutual interference of the wakes developed by wind turbines may frequently form a local speed-up region around wind turbines, located on the downstream side of large offshore wind farms.","PeriodicalId":51570,"journal":{"name":"Wind Engineering","volume":"1 1","pages":"408 - 421"},"PeriodicalIF":1.5,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89576786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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