Research and Application of 'Distribution Acquisition-Centralized Analysis' Vibration Monitoring Mode for Wind Turbine

2013 ◽  
Vol 827 ◽  
pp. 264-269
Author(s):  
Jin Zhang ◽  
Yue Gu ◽  
Jia Xu ◽  
Jian Guo Wang
Keyword(s):  
Wind Turbine ◽  
Wind Power ◽  
Rapid Development ◽  
Operation Time ◽  
Wind Farms ◽  
Vibration Monitoring ◽  
Operation And Maintenance ◽  
Automation Control ◽  
One Year ◽  
The One

With the rapid development of wind power in recent years, the wind power industry has gradually shifted from infrastructure construction to equipment operation and maintenance. The importance of the operation and maintenance of the wind turbine is increasingly apparent. A new vibration monitoring mode of wind turbine, called distribution acquisition-Centralized analysis, has been established by full investigation and study. This mode involves information technology, electronics technology and automation control technology. It is based on the mechanical movement principle and the principles of mechanics analysis. Throughout the one-year application of this vibration monitoring mode in wind farms, it is obseraved that: this model can grasp the operational status of the key equipment of the wind turbine, and effectively identify potential failures in a timely manner. This mode reduces costs of maintenance, improves equipment reliability and extends equipments operation time.

scholarly journals Methods to Apply a 3-Parameter Logistic Model to Wind Turbine Data

2020 ◽  
Vol 10 (9) ◽  
pp. 3317 ◽  
Author(s):  
Daniel Villanueva ◽  
Adrián Sixto ◽  
Andrés Feijóo ◽  
Antonio Fernández ◽  
Edelmiro Miguez
Keyword(s):  
Wind Turbine ◽  
Real Life ◽  
Mathematical Expression ◽  
Wind Farms ◽  
Real Data ◽  
Logistic Function ◽  
Mean Values ◽  
One Year ◽  
The One ◽  
Power Curves

Power curves provided by wind turbine manufacturers are obtained under certain conditions that are different from those of real life operation and, therefore, they actually do not describe the behavior of these machines in wind farms. In those cases where one year of data is available, a logistic function may be fitted and used as an accurate model for such curves, with the advantage that it describes the power curve by means of a very simple mathematical expression. Building such a curve from data can be achieved by different methods, such as using mean values or, alternatively, all the possible values for given intervals. However, when using the mean values, some information is missing and when using all the values the model obtained can be wrong. In this paper, some methods are proposed and applied to real data for comparison purposes. Among them, the one that combines data clustering and simulation is recommended in order to avoid some errors made by the other methods. Besides, a data filtering recommendation and two different assessment procedures for the error provided by the model are proposed.

scholarly journals Enhancing Wind Turbine Power Forecast via Convolutional Neural Network

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 261
Author(s):  
Tianyang Liu ◽  
Zunkai Huang ◽  
Li Tian ◽  
Yongxin Zhu ◽  
Hui Wang ◽  
...  
Keyword(s):  
Time Series ◽  
Wind Speed ◽  
Wind Turbine ◽  
Wind Power ◽  
Rapid Development ◽  
Superior Performance ◽  
Learning Platform ◽  
Novel Approach ◽  
Wind Power Forecast ◽  
Transformation Methods

The rapid development in wind power comes with new technical challenges. Reliable and accurate wind power forecast is of considerable significance to the electricity system’s daily dispatching and production. Traditional forecast methods usually utilize wind speed and turbine parameters as the model inputs. However, they are not sufficient to account for complex weather variability and the various wind turbine features in the real world. Inspired by the excellent performance of convolutional neural networks (CNN) in computer vision, we propose a novel approach to predicting short-term wind power by converting time series into images and exploit a CNN to analyze them. In our approach, we first propose two transformation methods to map wind speed and precipitation data time series into image matrices. After integrating multi-dimensional information and extracting features, we design a novel CNN framework to forecast 24-h wind turbine power. Our method is implemented on the Keras deep learning platform and tested on 10 sets of 3-year wind turbine data from Hangzhou, China. The superior performance of the proposed method is demonstrated through comparisons using state-of-the-art techniques in wind turbine power forecasting.

The Current Situation and Recent Advances of Deep-Water Floating Wind Turbine

2012 ◽  
Vol 226-228 ◽  
pp. 772-775
Author(s):  
Yu Chen ◽  
Chun Li ◽  
Wei Gao ◽  
Jia Bin Nie
Keyword(s):  
Wind Turbine ◽  
Deep Water ◽  
Rapid Development ◽  
Coupled Model ◽  
Wind Farms ◽  
International Standards ◽  
Offshore Wind ◽  
Current Status ◽  
Offshore Wind Turbine ◽  
Floating Wind Turbine

Offshore wind turbine is a novel approach in the field of wind energy technology. With the rapid development of coastal wind farms, it is the trend to move them outward to deep-water district. However, the cost of construction rises significantly with the increase in water depth. Floating wind turbine is one of the efficient methods to solve this problem. The early history, current status and cutting-edge improvements of overseas offshore floating wind turbine as well as the shortcomings shall be presented. The concept designs, international standards, fully coupled model simulations and hydrodynamic experiments will be illustrated and discussed together with the development of the theory and the related software modules. Thus a novel researching method and concept shall be presented to provide reference for future researches

scholarly journals Developing a package for analysis and design optimization of wind turbine systems

2019 ◽  
Vol 9 (2) ◽  
pp. 154-164
Author(s):  
Ulas Eminoglu ◽  
Ozan Karahan
Keyword(s):  
User Interface ◽  
Wind Turbine ◽  
Design Optimization ◽  
Graphical User Interface ◽  
Rapid Development ◽  
Analysis And Design ◽  
Wind Turbine System ◽  
Cost Of Energy ◽  
Variable Speed Wind Turbine ◽  
The One

The installation of wind turbines and consequently the use of wind energy is increasing day by day, since the rapid development in semiconductor technology has led to more advance in the wind turbine technologies. On the other hand, it is well known that a Graphical User Interface (GUI) application provides great advantages to the user such as; the use of programming language and data input for systems without coding, getting the results with the help of symbols, icons and other visual graphics. Accordingly, in this paper, to determine the amount of energy production, cost of energy and etc., of a Wind Turbine System (WTS) that has been established or will be installed, a tool is introduced by the presented software package. Besides the analysis option, the package also offers optimization algorithms that would be used for the layout design of types of Wind Turbine Systems which are called fixed-speed and variable-speed Wind Turbine Systems seperately by keeping in consideration the wind speed and geographic features of the regions. The graphical user interface, which is the one of important features of C# program were used and called Analysis & Design Optimization Package (A&DOP).

scholarly journals Monitoring the Wind Turbine Condition Using Big Data Technique

2019 ◽  
Vol 8 (S1) ◽  
pp. 98-102
Author(s):  
N. V. Poorima ◽  
B. Srinivasan ◽  
S. Karthikeyan
Keyword(s):  
Big Data ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Wind Farms ◽  
Observation System ◽  
Operation And Maintenance ◽  
Machine Deterioration

The desire to cut back the price of energy from turbine generation has seen a rise within the analysis applied to the sphere of turbine condition observation. Wind turbine condition observation has the potential to cut back operation and maintenance prices through optimized maintenance programming and also the rejection of major breakdowns. To aid this analysis, increasing volumes of knowledge are being captured and keep. These massive volumes of knowledge could also be deemed ‘Big Data’, and need improved handling techniques so as to figure with the information with efficiency. It introduces a turbine condition observation system that has been put in in AN operational Vestas V47 turbine for the aim of developing algorithms to sight machine deterioration. The system’s ability to capture massive volumes of knowledge (approx.2TB per month) has LED to the need of victimization increased knowledge handling techniques. This paper can discuss these ‘Big Data’ techniques and recommend however they will ultimately be used for condition observation of multiple wind turbines or wind farms.

scholarly journals Combined Phacoendoscopic Cyclophotocoagulation versus Combined Phacotrabeculectomy in the Management of Coexisting Cataract and Glaucoma: A Comparative Study

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Charles Sing Lok Lau ◽  
Jeffrey Chi Wang Chan ◽  
Sophia Fei So ◽  
Orlando Chia Chieh Chan ◽  
Kenneth Kai Wang Li
Keyword(s):  
Success Rate ◽  
Surgical Procedures ◽  
Surgical Intervention ◽  
Operation Time ◽  
Macula Edema ◽  
One Year ◽  
The One ◽  
Significant Cataract ◽  
Cystoid Macula Edema

Purpose. To compare the surgical outcome of combined phacoemulsification and endoscopic cyclophotocoagulation (phacoECP) versus combined phacoemulsification and mitomycin C-augmented trabeculectomy (phacoTbx) in patients with coexisting glaucoma and visually significant cataract. Methods. A retrospective review of 89 eyes of 89 patients who received phacoECP (N=49) and phacoTbx (N=40) was carried out at a tertiary eye center in Hong Kong. The minimum follow-up period was 6 months. Criterion of success was reduction of IOP at least 30% or absolute IOP of 15 mmHg or below without (complete success) or with (qualified success) antiglaucomatous medication. Results. PhacoTbx had more reduction of antiglaucomatous medication (4 vs 1, P<0.001). At postoperative year one, there was more IOP reduction for phacoTbx than phacoECP (8 mmHg vs 3 mmHg, P=0.012). The one-year complete success rate was also higher for phacoTbx (46.2% vs 8.2%, P<0.001), while qualified success was comparable between the 2 groups (74.4% vs 73.5%, P=0.925). Operation time was shorter for phacoECP (37 vs 73 minutes, P<0.001). The number of postoperative follow-up visits was less (6 vs 11.5, P<0.001) for phacoECP. Additional surgical procedures were more common in phacoTbx (55% vs 0%, P<0.001). There was no postoperative cystoid macula edema, hypotony, or endophthalmitis reported in both groups. Conclusions. PhacoECP is significantly less effective than phacoTbx in reduction of both IOP and number of antiglaucomatous medications for patients with medically uncontrolled glaucoma and cataract. Its complete success rate is also significantly lower than that of phacoTbx. With its comparable qualified success, shorter operation time, less number of postoperative visits, and secondary surgical intervention, phacoECP may still have a role in very selected cases.

Low Voltage Ride through (LVRT) Control of Double-Fed Wind-Driven Generator

2012 ◽  
Vol 499 ◽  
pp. 400-404
Author(s):  
Jian Hong Zheng ◽  
Jie Feng Li ◽  
Yu Zhi Gao
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Wind Power ◽  
Control Method ◽  
Low Voltage ◽  
Voltage Drop ◽  
Power Grid ◽  
Rapid Development ◽  
Low Voltage Ride Through ◽  
The Impact

With the rapid development of the wind power, it is no longer an isolated power system and gradually incorporated in the local power grid. However, as the increasing proportion of the installed wind power capacity in the power grid, the affection of the wind turbine to the region power system is getting heavier, which inevitably bring some new problems to the power system. The low voltage ride through (LVRT) is the direct embodiment of the power quality. In this paper, we fist analyze the impact of the voltage drop on the double-fed wind turbine. Then, a LVRT control method is proposed based on hardware realization. The detailed explanation of the proposed control method is given at last.

scholarly journals Optimal Inertia Reserve and Inertia Control Strategy for Wind Farms

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1067
Author(s):  
Youming Cai ◽  
Zheng Li ◽  
Xu Cai
Keyword(s):  
Wind Turbine ◽  
Wind Power ◽  
Control Strategy ◽  
Wind Farm ◽  
Power Grid ◽  
Wind Farms ◽  
Exit Point ◽  
Inertia Control ◽  
The Impact ◽  
Inertia Response

It is important to reduce the impact of the high penetration of wind power into the electricity supply for the purposes of the security and stability of the power grid. As such, the inertia capability of wind farms has become an observation index. The existing control modes cannot guarantee the wind turbine to respond to the frequency variation of the grid, hence, it may lead to frequency instability as the penetration of wind power gets much higher. For the stability of the power grid, a simple and applicable method is to realize inertia response by controlling wind farms based on a high-speed communication network. Thus, with the consideration of the inertia released by a wind turbine at its different operating points, the inertia control mechanism of a doubly-fed wind turbine is analyzed firstly in this paper. The optimal exit point of inertia control is discussed. Then, an active power control strategy for wind farms is proposed to reserve the maximum inertia under a given power output constraint. Furthermore, turbines in a wind farm are grouped depending on their inertia capabilities, and a wind farm inertia control strategy for reasonable extraction of inertia is then presented. Finally, the effectiveness of the proposed control strategy is verified by simulation on the RT-LAB (11.3.3, OPAL-RT TECHNOLOGIES, Montreal, Quebec, Canada) platform with detailed models of the wind farm.

Field monitoring of the ground vibrations adjacent to an onshore wind turbine foundation

2020 ◽  
Author(s):  
Pengpeng He ◽  
Jesús González-Hurtado ◽  
Tim Newson ◽  
Hanping Hong ◽  
Melanie Postman ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Near Field ◽  
Wind Farms ◽  
Field Monitoring ◽  
Vibration Monitoring ◽  
Onshore Wind ◽  
Wind Structure ◽  
Soil Foundation ◽  
Non Gaussian ◽  
Fluctuating Wind

Investigations of the soil-foundation interaction behavior of wind turbine foundations and transfer of energy from the wind to the ground have not been reported in Canada. Indeed, very few vibration monitoring studies have been conducted globally around wind farms. It has been found that turbines predominantly produce vibrations related to structural resonances and blade passing frequencies. Energy is found to be modified with distance and is dominated by surface waves. This paper describes a study of the effect of the wind-structure interaction on the behaviour of a turbine foundation and the generation of ground-based vibrations around a working commercial wind turbine in Ontario. The field monitoring system and meteorological instrumentation are described in this paper and the responses of the structure and the surrounding ground due to the fluctuating wind-field are discussed. The spectral analysis shows that the higher frequency vibrations attenuate more rapidly than the lower frequency vibrations. The tilted elliptical particle motions are found to be non-Gaussian because of the non-Gaussian wind conditions. The response attenuation with distance indicates that both geometric and material attenuation may dominate the vibration attenuation in the near field and only geometric attenuation occurs in the far field.

scholarly journals Floating State of a One-Step Integrated Transportation Vessel with Two Composite Bucket Foundations and Offshore Wind Turbines

2019 ◽  
Vol 7 (8) ◽  
pp. 263 ◽  
Author(s):  
Puyang Zhang ◽  
Disheng Liang ◽  
Hongyan Ding ◽  
Conghuan Le ◽  
Xing Zhao
Keyword(s):  
Wind Turbine ◽  
Wind Power ◽  
Wave Height ◽  
New Technology ◽  
Offshore Wind ◽  
Offshore Wind Power ◽  
One Step ◽  
Set Up ◽  
The One ◽  
Installation Technology

Offshore wind power is an important of source renewable energy. As a new technology, the one-step integrated transportation and installation technology of offshore wind power has broader application prospects. In order to ensure stability during the towing process, it is necessary to study the behavior of the wind turbine transportation structure. The numerical model of the specialized transportation vessel was set up by MOSES software. An analysis in the frequency domain and time domain was conducted considering the effects of draft, speed, and wave height on the towing stability of the wind turbine transportation vessel. The results show that the one-step integrated transportation method can ensure stability of the wind turbine during the towing process. Reducing draft, increasing speed, and increasing wave height will reduce the towing stability of the wind turbine. In the practical towing process, the combination of various adverse situations will be avoided.

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