Design of Direct-Driven Type Wind Power Generation Experimental Platform System

2012 ◽  
Vol 608-609 ◽  
pp. 483-486
Author(s):  
Li Zhang ◽  
Xiao Ming Wang ◽  
Can Li
Keyword(s):  
Wind Power ◽  
Wind Generation ◽  
Experimental Platform ◽  
Detection Circuit ◽  
Test Platform ◽  
Generation Capacity ◽  
Platform System ◽  
And Control ◽  
Constant Growth ◽  
Power Electronic Converter

Although the world wind generation capacity is in constant growth, the technology of wind generation is not perfect. Therefore, the research on wind power technology research is very neces-sary .Research on the design scheme of test platform of hardware, design wind turbine simulator, the power electronic converter device, platform detection circuit, drive circuit and control circuit and other parts, and build the direct-driven type of wind generation experimental platform. It by the generator commissioning, the analysis result has demonstrated that the design of the system is rational.

Fuzzy Logic in Wind Energy

2017 ◽  
pp. 519-544
Author(s):  
Imanol López Goiti
Keyword(s):  
Power Generation ◽  
Fuzzy Logic ◽  
Wind Energy ◽  
Wind Power ◽  
High Performance ◽  
Wind Power Generation ◽  
Current Technology ◽  
Generation Costs ◽  
And Control ◽  
Power Electronic Converter

The use of wind energy for power generation purposes plays a major role in the current electrical market and is becoming increasingly attractive. The good exploitation of this kind of energy may improve the power generation capabilities and therefore reduce generation costs. Fuzzy Logic methodology can be used to improve the current technology. In this chapter, Fuzzy Logic is proposed as a technique that assesses wind sites and predicts annual generation for wind turbines. Moreover, it is also proposed to maximize the power search and control the power electronic converter of the wind turbine. Fuzzy Logic should be considered as a real alternative to the typical methods for the exploitation of wind energy. It can improve wind power generation with high performance and efficiency.

Fuzzy Logic in Wind Energy

2015 ◽  
pp. 165-190
Author(s):  
Imanol López Goiti
Keyword(s):  
Power Generation ◽  
Fuzzy Logic ◽  
Wind Energy ◽  
Wind Power ◽  
High Performance ◽  
Wind Power Generation ◽  
Current Technology ◽  
Generation Costs ◽  
And Control ◽  
Power Electronic Converter

The use of wind energy for power generation purposes plays a major role in the current electrical market and is becoming increasingly attractive. The good exploitation of this kind of energy may improve the power generation capabilities and therefore reduce generation costs. Fuzzy Logic methodology can be used to improve the current technology. In this chapter, Fuzzy Logic is proposed as a technique that assesses wind sites and predicts annual generation for wind turbines. Moreover, it is also proposed to maximize the power search and control the power electronic converter of the wind turbine. Fuzzy Logic should be considered as a real alternative to the typical methods for the exploitation of wind energy. It can improve wind power generation with high performance and efficiency.

scholarly journals Special Issue: “Wind Power Integration into Power Systems: Stability and Control Aspects”

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3680
Author(s):  
Lasantha Meegahapola ◽  
Siqi Bu
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Power Grids ◽  
Energy Sources ◽  
Low Carbon ◽  
Carbon Neutrality ◽  
Stability And Control ◽  
Wind Power Integration ◽  
And Control

Power network operators are rapidly incorporating wind power generation into their power grids to meet the widely accepted carbon neutrality targets and facilitate the transition from conventional fossil-fuel energy sources to the clean and low-carbon renewable energy sources [...]

Hub height optimisation of commercial WTGs based on accurate wind resource analysis

2021 ◽  
pp. 0309524X2110227
Author(s):  
Kyle O Roberts ◽  
Nawaz Mahomed
Keyword(s):  
Power Generation ◽  
Wind Turbine ◽  
Wind Power ◽  
Capacity Factor ◽  
Resource Analysis ◽  
Wind Speeds ◽  
Unique Maximum ◽  
Wind Measurements ◽  
Generation Capacity ◽  
Wind Resource

Wind turbine selection and optimal hub height positioning are crucial elements of wind power projects. However, in higher class wind speeds especially, over-exposure of wind turbines can lead to a reduction in power generation capacity. In this study, wind measurements from a met mast were validated according to specifications issued by IRENA and NREL. As a first step, it is shown that commercial WTGs from a database may be matched to the wind class and turbulence intensity. Secondly, a wind turbine selection algorithm, based on maximisation of capacity factor, was implemented across the range of WTGs. The selected WTGs were further exposed to an iterative algorithm using pointwise air density and wind shear coefficients. It is shown that a unique maximum capacity factor, and hence wind power generation, exists for a wind turbine, premised on its eventual over-exposure to the wind resource above a certain hub height.

scholarly journals Harnessing Wind Energy Potential in ASEAN: Modelling and Policy Implications

2021 ◽  
Vol 13 (8) ◽  
pp. 4279
Author(s):  
Youngho Chang ◽  
Phoumin Han
Keyword(s):  
Wind Energy ◽  
Carbon Emissions ◽  
Policy Implications ◽  
Wind Generation ◽  
Energy Potential ◽  
Trade Model ◽  
Electricity Trade ◽  
Generation Capacity ◽  
The Cost ◽  
Business As Usual

This study examines whether and how harnessing more wind energy can decrease the cost of meeting the demand for electricity and amount of carbon emissions in the Association for Southeast Asian Nations (ASEAN) region, using the ASEAN integrated electricity trade model. Three scenarios are considered: a counterfactual business-as-usual (BAU) scenario, which assumes no wind energy is used; an actual BAU scenario that uses the wind-generation capacity in 2018; and a REmap scenario, which employs the wind-generation capacity from the Renewable Energy Outlook for ASEAN. Simulation results suggest that dispatching more wind energy decreases the cost of meeting the demand for electricity and amount of carbon emissions. However, these emissions increase during the late years of the study period, as the no- or low-emitting energy-generation technologies are crowded out.

scholarly journals Optimization of a Small Wind Power Plant for Annual Wind Speed Distribution

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1587
Author(s):  
Krzysztof Wrobel ◽  
Krzysztof Tomczewski ◽  
Artur Sliwinski ◽  
Andrzej Tomczewski
Keyword(s):  
Wind Speed ◽  
Power Plant ◽  
Wind Power ◽  
Power Plants ◽  
Control Method ◽  
Wind Power Plant ◽  
Switched Reluctance ◽  
Wind Speeds ◽  
Wind Speed Distribution ◽  
And Control

This article presents a method to adjust the elements of a small wind power plant to the wind speed characterized by the highest annual level of energy. Tests were carried out on the basis of annual wind distributions at three locations. The standard range of wind speeds was reduced to that resulting from the annual wind speed distributions in these locations. The construction of the generators and the method of their excitation were adapted to the characteristics of the turbines. The results obtained for the designed power plants were compared with those obtained for a power plant with a commercial turbine adapted to a wind speed of 10 mps. The generator structure and control method were optimized using a genetic algorithm in the MATLAB program (Mathworks, Natick, MA, USA); magnetostatic calculations were carried out using the FEMM program; the simulations were conducted using a proprietary simulation program. The simulation results were verified by measurement for a switched reluctance machine of the same voltage, power, and design. Finally, the yields of the designed generators in various locations were determined.

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