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A Review on Topology, Operating and Control Methods of HVDC Transmission System for Offshore Wind Farms

Jinke Li, Jingyuan Yin, Yonggao Guan, Zhenquan Wang, Tao Niu, Hongning Zhen, Zhikun Han, Xueying Guo, W. Qin, L. Wang, V. Yepes
2020 E3S Web of Conferences  
The results are important for understanding the operation of VSC-HVDC in offshore wind farms.  ...  Thus, the aim of this manuscript is to offer a comprehensive summary of existing topology, operation and control methods applied to HVDC transmission system for offshore wind farms.  ...  Thus, the higher cost and device losses in maintenance are critical problems for traditional HVAC transmission for a long distance and large power wind farms.  ... 
doi:10.1051/e3sconf/202016506012 fatcat:mypkikmzkrhhdeqwbukgbrmddm

Assessment and Countermeasures for Offshore Wind Farm Risks Based on a Dynamic Bayesian Network

Chunhui Zhou, Xin Liu, Langxiong Gan, Yuanzhou Zheng, Qingyun Zhong, Kailiang Ge, Lei Zhang
2018 Journal of Environmental Protection  
Based on this foundation, a dynamic Bayesian network model with Genie was established, and evaluated, in terms of its effectiveness for analysis of risk during different phases of the offshore wind farm  ...  Research results show that a dynamic Bayesian network method can perform risk assessments effectively and flexibly, responding to the actual context of offshore wind power construction.  ...  Acknowledgements This thesis is based on the offshore wind power project from School of Navigation Wuhan University of Technology as a theoretical support, and I would like to thank the project for providing  ... 
doi:10.4236/jep.2018.94024 fatcat:bkfnwpnu5vae3gk5ptjgdrpcme

A Novel Information Theoretical Criterion for Climate Network Construction

Sara Cornejo-Bueno, Mihaela I. Chidean, Antonio J. Caamaño, Luis Prieto-Godino, Sancho Salcedo-Sanz
2020 Symmetry  
We evaluate the proposed method in a problem of Climate Networkconstruction to assess differences in wind speed prediction at different wind farms in Spain.  ...  Furthermore, it is shown that the climate network construction method facilitates the evaluation of symmetry properties in the resulting complex networks.  ...  We evaluate the proposed method in a problem of CN construction to assess differences in wind speed prediction at different wind farms in Spain.  ... 
doi:10.3390/sym12091500 fatcat:kwlssqfc4jfgnhpmwrdyli4vve

An Integrated Multi-Criteria Decision Making Model for Evaluating Wind Farm Performance

He-Yau Kang, Meng-Chan Hung, W. L. Pearn, Amy H. I. Lee, Mei-Sung Kang
2011 Energies  
A case study is carried out in Taiwan in evaluating the expected performance of several potential wind farms, and a recommendation is provided for selecting the most appropriate wind farm for construction  ...  In this research, a comprehensive evaluation model is constructed to select a suitable location for developing a wind farm.  ...  Acknowledgement This work was supported in part by the National Science Council in Taiwan under Grant NSC 100-2221-E-167-014-MY3.  ... 
doi:10.3390/en4112002 fatcat:w7ws2qkdcnagrpz7fo2ydydojq

Renewable and small energy development management

D S Lopatkin, T N Shushunova, G E Shaldina, A A Gibadullin, I L Smirnova
2019 Journal of Physics, Conference Series  
The analysis carried out in the work showed that in the electric power industry there has been a tendency to intensify activities to switch to innovative and renewable technologies in the production of  ...  At the end of the work, a structural-logical scheme was proposed that allows for the transition from traditional energy to renewable energy sources.  ...  The study used statistical, comparative, economic and statistical and logical methods.  ... 
doi:10.1088/1742-6596/1399/3/033061 fatcat:u2inoqniircsni7am3s37w73nq

The Design and Implement of Wind Fans Remote Monitoring and Fault Predicting System [chapter]

Yao Wanye, Yin Shi
2011 Wind Energy Management  
On the basis, this article designs the wind farm remote monitoring and data analysis system to achieve a variety of fans in different wind farms, and realize wind farm cluster control and data analysis  ...  So we must build a fault early warning ways and improve the operation reliability of the wind farms.  ...  effective in solving complex problems.  ... 
doi:10.5772/20702 fatcat:apib5erimfhgzprjr7x4vxep4q

Wind Farm Modeling with Interpretable Physics-Informed Machine Learning

Michael F. Howland, John O. Dabiri
2019 Energies  
In this study, we propose a suite of physics-informed statistical models to accurately predict the power production of arbitrary wind farm layouts.  ...  The trained models reduce the prediction error compared both to a physics-based wake model and a standard two-layer neural network.  ...  The various models are compared in Section 3 in the analysis of a utility-scale wind farm in Alberta, Canada.  ... 
doi:10.3390/en12142716 fatcat:nvrdypwzpfaofi2p4vm5icffuy

Wind Power Prediction Based on Extreme Learning Machine with Kernel Mean p-Power Error Loss

Ning Li, Fuxing He, Wentao Ma
2019 Energies  
For the above problems, this paper proposes a novel wind power prediction method based on ELM with kernel mean p-power error loss, which can achieve lower prediction error compared with the traditional  ...  The traditional back propagation (BP) neural network requires a manual setting of a large number of parameters, and the extreme learning machine (ELM) algorithm simplifies the time complexity and does  ...  Conflicts of Interest: The authors declare no conflict of interest. Energies 2019, 12, 673  ... 
doi:10.3390/en12040673 fatcat:gzavnxr2x5gqbiv36rblsh4ke4

Selection of Wind Turbine Based on Fuzzy Analytic Network Process: A Case Study in China

Nansheng Pang, Mengfan Nan, Qichen Meng, Siyang Zhao
2021 Sustainability  
This increases the complexity of the selection problem. At the same time, with the development of wind power technology, the types of wind turbines on the market are increasing.  ...  In the end, a case study in China is carried out.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su13041792 fatcat:oon7eawmnra27coltkeb4sxh54

Wind speed forecasting: Present status

Melam Bhaskar, Amit Jain, N. Venkata Srinath
2010 2010 International Conference on Power System Technology  
In the recent years there is a lot of research happening to predict wind speed with several mathematical methods and biologically inspired computing techniques to reduce the prediction error.  ...  A number of wind speed forecasting techniques are available in order to predict the uncertainty of the wind, which is key to estimate wind power generation availability for the grid.  ...  It showed clear benefits over the persistence method in complex terrain wind farms. Fatih O.  ... 
doi:10.1109/powercon.2010.5666623 fatcat:6dpwwut22vc5fjxbjc6htm4kdm

Ship Traffic Flow Prediction in Wind Farms Water Area Based on Spatiotemporal Dependence

Tian Xu, Qingnian Zhang
2022 Journal of Marine Science and Engineering  
To analyze the changing characteristics of ship traffic flow in wind farms water area, and to improve the accuracy of ship traffic flow prediction, a Gated Recurrent Unit (GRU) of a Recurrent Neural Network  ...  Herein, we construct a spatiotemporal dependence feature matrix to predict ship traffic flow instead of the traditional ship traffic flow time series as the input of the neural network.  ...  Methodology The logical framework for the prediction of ship traffic flow in wind farm waters is depicted in Figure 1 ; it consists of three components: data preparation, spatial relationship analysis  ... 
doi:10.3390/jmse10020295 fatcat:eqzzna73onhfdprxgyw5xvrkte

Short-Term Prediction of Wind Power Considering the Fusion of Multiple Spatial and Temporal Correlation Features

Fangze Wu, Mao Yang, Chaoyu Shi
2022 Frontiers in Energy Research  
Finally, as a case study, the operational data of a wind farm cluster in China are analyzed, and the proposed model outperforms traditional short-term prediction methods in terms of prediction accuracy  ...  In this study, a convolutional neural network–long short-term memory based short-term prediction model for wind farm clusters is proposed.  ...  FUNDING This work was financially supported by the National Nature Science Foundation of China (No. 61873091).  ... 
doi:10.3389/fenrg.2022.878160 fatcat:ocqohw5mxrbijbxijkbxchep7m

Basic, Advanced, and Sophisticated Approaches to the Current and Forecast Challenges of Wind Energy

Paweł Ligęza
2021 Energies  
The aim is to interest them in a wide range of topics related to wind energy and wind turbines.  ...  The article is a synthetic review of contemporary wind energy issues. It was created on the basis of a survey of literature from the last two years, with mainly review articles.  ...  Conflicts of Interest: The author declare no conflict of interest.  ... 
doi:10.3390/en14238147 fatcat:o4hbgmko6zclta4ff3ugmw4kpy

Research on Wind Turbine Generator Dynamic Reliability Test System Based on Feature Recognition

Bin Wang, Yuemiao Wang, Xinbo Chen
2013 Research Journal of Applied Sciences Engineering and Technology  
Based on Bayesian network fault diagnosis method, the vibration feature recognition system of wind turbine generator is constructed.  ...  wind farms.  ...  Construct the basic framework of bayesian network fault diagnosis system: The research constructs a bayesian network dynamic reliability test system based on the information about the state of wind generator  ... 
doi:10.19026/rjaset.6.3696 fatcat:4gxhfbr5ufh6pjen44kmmr6joi

Applied machine learning and management of volatility, uncertainty, complexity & ambiguity (V.U.C.A)

Srikanta Patnaik
2020 Journal of Intelligent & Fuzzy Systems  
load fluctuation in wind farm based on probabilistic neural network.  ...  The authors verified the effect of process reengineering by UNCINET, which is a visual analysis tool for Social network analysis (SNA) to analyse and compare the traditional as well as BIM based organizational  ...  algorithm considering performance verses complexity for deployment in smart home devices to analyse emotional states in speech.  ... 
doi:10.3233/jifs-179915 fatcat:njwjogoperg2jggdkyheiibbhi
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