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

For decades of wind energy technology developments, much research on the subject has been carried out, and this has given rise to many works encompassing different topics related to it. As a logical consequence of such a research and editorial activity, state-of-the-art review works have also been published, reporting about a wide variety of research proposals. Review works are particularly interesting documents for researchers because they try to gather different research works on the same topic present their achievements to researchers. They act, in a way, as a guidance for researchers to quickly access the most meaningful works. The proposal of this paper consists of going one step further, and to present a review of state-of-the-art review works on wind-energy-related issues. A classification into several main topics in the field of energy research has been done, and review works that can be classified in all these areas have been searched, analyzed, and commented on throughout the paper.

[1]  Ivan Mustakerov,et al.  Wind turbines type and number choice using combinatorial optimization , 2010 .

[2]  Hesheng Yu A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods , 2017 .

[3]  Haoran Zhao,et al.  Review of energy storage system for wind power integration support , 2015 .

[4]  Athanasios D. Karlis,et al.  A Short Review on the Offshore Wind Turbine Generator Windings’ Insulation and the Effect of Water Droplets and Salinity , 2016, IEEE Transactions on Industry Applications.

[5]  Gangbing Song,et al.  A review of damage detection methods for wind turbine blades , 2015 .

[6]  David Schlipf,et al.  Optimizing Lidars for Wind Turbine Control Applications - Results from the IEA Wind Task 32 Workshop , 2018, Remote. Sens..

[7]  Andreas Sumper,et al.  Participation of wind power plants in system frequency control: Review of grid code requirements and control methods , 2014 .

[8]  A. Kusiak,et al.  Modeling wind-turbine power curve: A data partitioning and mining approach , 2017 .

[9]  Athanasios Kolios,et al.  Failure Mode Identification and End of Life Scenarios of Offshore Wind Turbines: A Review , 2015 .

[10]  Gorm Bruun Andresen,et al.  Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling , 2020, Applied Energy.

[11]  Lei Ding,et al.  Smart frequency control in low inertia energy systems based on frequency response techniques: A review , 2020 .

[12]  Kishore Kulat,et al.  A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction , 2019, Energies.

[13]  Yingning Qiu,et al.  Wind turbine condition monitoring: technical and commercial challenges , 2014 .

[14]  Pedro André Carvalho Rosas,et al.  Prognostic techniques applied to maintenance of wind turbines: a concise and specific review , 2018 .

[15]  Masoud Ghasemian,et al.  A review on computational fluid dynamic simulation techniques for Darrieus vertical axis wind turbines , 2017 .

[16]  I. Albizu,et al.  Review of dynamic line rating systems for wind power integration , 2016 .

[17]  Saurabh Mani Tripathi,et al.  Grid-integrated permanent magnet synchronous generator based wind energy conversion systems: A technology review , 2015 .

[18]  Rajesh Kumar Nema,et al.  A Critical Review on Wind Turbine Power Curve Modelling Techniques and Their Applications in Wind Based Energy Systems , 2016 .

[19]  Davide Astolfi,et al.  Wind Turbine Power Curve Upgrades , 2018 .

[20]  Carlos A. C. Bastos,et al.  How to mitigate impacts of wind farms on bats? A review of potential conservation measures in the European context , 2015 .

[21]  Shahaboddin Shamshirband,et al.  Comparative study of clustering methods for wake effect analysis in wind farm , 2016 .

[22]  Shafiqur Rehman,et al.  Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review , 2018 .

[23]  G. Ingram,et al.  A review of H-Darrieus wind turbine aerodynamic research , 2019, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

[24]  Issarachai Ngamroo,et al.  Review of DFIG wind turbine impact on power system dynamic performances , 2017 .

[25]  Shantha Gamini Jayasinghe,et al.  A review on recent size optimization methodologies for standalone solar and wind hybrid renewable energy system , 2017 .

[26]  Jiahai Yuan,et al.  Wind turbine manufacturing in China: A review , 2015 .

[27]  Dirk Söffker,et al.  State-of-the-art in wind turbine control: Trends and challenges , 2016 .

[28]  Bingsen Wang,et al.  A review of the state-of-the-art in wind-energy reliability analysis , 2018 .

[29]  Hester Bijl,et al.  Large Eddy Simulation of wind farm aerodynamics : a review , 2014 .

[30]  Qingshan Xu,et al.  Integrated Wind Farm Power Curve and Power Curve Distribution Function Considering the Wake Effect and Terrain Gradient , 2019 .

[31]  Qing Song,et al.  Wind farm layout optimization using genetic algorithm with different hub height wind turbines , 2013 .

[32]  Yi-Qing Ni,et al.  A review of full-scale structural testing of wind turbine blades , 2014 .

[33]  J. Cidrás,et al.  Review of power curve modelling for wind turbines , 2013 .

[34]  Simon J. Watson,et al.  Using SCADA data for wind turbine condition monitoring – a review , 2017 .

[35]  Hongxing Yang,et al.  A comprehensive review of the theoretical approaches for the airfoil design of lift-type vertical axis wind turbine , 2015 .

[36]  Neeraj Gupta A review on the inclusion of wind generation in power system studies , 2016 .

[37]  Jafar Milimonfared,et al.  A review of low-voltage ride-through enhancement methods for permanent magnet synchronous generator based wind turbines , 2015 .

[38]  Goran Nenadic,et al.  Machine learning methods for wind turbine condition monitoring: A review , 2019, Renewable Energy.

[39]  Fouad Slaoui-Hasnaoui,et al.  Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges , 2014 .

[40]  Andrés Feijóo,et al.  Comparison of logistic functions for modeling wind turbine power curves , 2018 .

[41]  S. Iniyan,et al.  A review of technical issues on the development of wind farms , 2014 .

[42]  Chi Jeng Bai,et al.  Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs) , 2016 .

[43]  Jay Apt,et al.  Variability of the Wind Turbine Power Curve , 2016 .

[44]  W. Y. Liu,et al.  The structure healthy condition monitoring and fault diagnosis methods in wind turbines: A review , 2015 .

[45]  Saad Mekhilef,et al.  Inertia response and frequency control techniques for renewable energy sources: A review , 2017 .

[46]  G. Andresen,et al.  A graphical approach to carbon-efficient spot market scheduling for Power-to-X applications , 2020, Energy Conversion and Management.

[47]  Lin Wang,et al.  Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm , 2016 .

[48]  Athanasios Kolios,et al.  A review of reliability-based methods for risk analysis and their application in the offshore wind industry , 2018, Renewable and Sustainable Energy Reviews.

[49]  Rashad M. Kamel Three fault ride through controllers for wind systems running in isolated micro-grid and Effects of fault type on their performance: A review and comparative study , 2014 .

[50]  John Kaiser Calautit,et al.  A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment , 2018, Comput..

[51]  Josep M. Guerrero,et al.  A comprehensive review of low-voltage-ride-through methods for fixed-speed wind power generators , 2016 .

[52]  Zaher Mundher Yaseen,et al.  ForecastTB An R Package as a Test-Bench for Time Series Forecasting Application of Wind Speed and Solar Radiation Modeling , 2020 .

[53]  Marco Mussetta,et al.  State of the Art in the Optimisation of Wind Turbine Performance Using CFD , 2020, Archives of Computational Methods in Engineering.

[54]  Vicente Negro,et al.  Gravity based support structures for offshore wind turbine generators: Review of the installation process , 2015 .

[55]  Mohammad Yusri Hassan,et al.  Wake effect modeling: A review of wind farm layout optimization using Jensen׳s model , 2016 .

[56]  Thomas Bak,et al.  Survey of wind farm control - power and fatigue optimization , 2015 .

[57]  Paul van der Laan,et al.  Wind turbine wake models developed at the Technical University of Denmark: A review , 2016 .

[58]  Javier Serrano González,et al.  A review and recent developments in the optimal wind-turbine micro-siting problem , 2014 .

[59]  Numan Sabit Cetin,et al.  Artificial neural networks for controlling wind–PV power systems: A review , 2014 .

[60]  Davide Astolfi,et al.  Wind Turbine Power Curve Upgrades: Part II , 2019 .

[61]  Wei-qing Wang,et al.  Spatial patterns and influencing factors of China׳s wind turbine manufacturing industry: A review , 2016 .

[62]  Jianzhou Wang,et al.  Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models , 2016 .

[63]  Andrés Feijóo,et al.  Wind Turbine Power Curves Based on the Weibull Cumulative Distribution Function , 2018, Applied Sciences.

[64]  Piotr Wais,et al.  A review of Weibull functions in wind sector , 2017 .

[65]  Huanling Hu,et al.  Forecasting energy consumption and wind power generation using deep echo state network , 2020 .

[66]  M. Muskulus,et al.  Design Optimization of Wind Turbine Support Structures — A Review , 2014 .

[67]  Yuguang Niu,et al.  Wind energy rejection in China: Current status, reasons and perspectives , 2016 .

[68]  Hamid Reza Karimi,et al.  A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management , 2016 .

[69]  Krystel K. Castillo-Villar,et al.  A Review of Methodological Approaches for the Design and Optimization of Wind Farms , 2014 .

[70]  Emilio Gómez-Lázaro,et al.  Power systems with high renewable energy sources: A review of inertia and frequency control strategies over time , 2019, Renewable & Sustainable Energy Reviews.

[71]  Saravanakumar Rajendran,et al.  A review of estimation of effective wind speed based control of wind turbines , 2015 .

[72]  Shahaboddin Shamshirband,et al.  Adaptive neuro-fuzzy generalization of wind turbine wake added turbulence models , 2014 .

[73]  Tim Rubert,et al.  Lifetime extension of onshore wind turbines: A review covering Germany, Spain, Denmark, and the UK , 2018 .

[74]  F. Y. Ettoumi,et al.  Comparative simulation of wind park design and siting in Algeria , 2008 .

[75]  Alex Maurício Araújo,et al.  A review on wind turbine control and its associated methods , 2018 .

[76]  K. Kalidasa Murugavel,et al.  Review of aerodynamic developments on small horizontal axis wind turbine blade , 2015 .

[77]  F. Castellani,et al.  Experimental Vibration Analysis of a Small Scale Vertical Wind Energy System for Residential Use , 2019, Machines.

[78]  Rafic Younes,et al.  Review of performance optimization techniques applied to wind turbines , 2015 .

[79]  Daoyi Chen,et al.  Developments in semi-submersible floating foundations supporting wind turbines: A comprehensive review , 2016 .

[80]  E. V. D. Heide,et al.  Leading edge erosion of coated wind turbine blades: Review of coating life models , 2015 .

[81]  A. Immanuel Selvakumar,et al.  A comprehensive review on wind turbine power curve modeling techniques , 2014 .

[82]  Gregorio Iglesias,et al.  Enhancing Wave Energy Competitiveness through Co-Located Wind and Wave Energy Farms. A Review on the Shadow Effect , 2015 .

[83]  Sajjad Tohidi,et al.  A comprehensive review of low voltage ride through of doubly fed induction wind generators , 2016 .