Inverter Loss and Annual Energy Efficiency Analysis on 5 MW Wind Power Generation System

2020 ◽  
Author(s):  
Eiji Muramatsu ◽  
Kenta Sugiyama ◽  
Wataru Kitagawa ◽  
Takaharu Takeshita
Keyword(s):  
Power Generation ◽  
Energy Efficiency ◽  
Wind Power ◽  
Efficiency Analysis ◽  
Wind Power Generation ◽  
Generation System ◽  
Power Generation System ◽  
Energy Efficiency Analysis

Development of a City Type Compact Wind Power Generation System

2005 ◽  
Vol 125 (11) ◽  
pp. 1016-1021 ◽  
Author(s):  
Yoshihisa Sato ◽  
Naotsugu Yoshida ◽  
Ryuichi Shimada
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Power Generation ◽  
Generation System ◽  
Power Generation System

Power Electronics for Grid Integration of Wind Power Generation System

2016 ◽  
Vol 9 ◽  
pp. 10 ◽  
Author(s):  
Michael S Okundamiya
Keyword(s):  
Power Generation ◽  
Wind Energy ◽  
Power Electronics ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Wind Power Generation ◽  
Generation System ◽  
Electricity Grid ◽  
Power Generation System ◽  
Promising Source

The rising demands for a sustainable energy system have stimulated global interests in renewable energy sources. Wind is the fastest growing and promising source of renewable power generation globally. The inclusion of wind power into the electric grid can severely impact the monetary cost, stability and quality of the grid network due to the erratic nature of wind. Power electronics technology can enable optimum performance of the wind power generation system, transferring suitable and applicable energy to the electricity grid. Power electronics can be used for smooth transfer of wind energy to electricity grid but the technology for wind turbines is influenced by the type of generator employed, the energy demand and the grid requirements. This paper investigates the constraints and standards of wind energy conversion technology and the enabling power electronic technology for integration to electricity grid.

Research on Optimal Gradient - Climbing Algorithm in Wind Power Generation

2013 ◽  
Vol 385-386 ◽  
pp. 1100-1103 ◽  
Author(s):  
Qiang Zhao ◽  
Chang Cui
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Search Algorithm ◽  
Buck Converter ◽  
Wind Power Generation ◽  
Generation System ◽  
Load Impedance ◽  
Point Tracking ◽  
Power Generation System ◽  
Step Climbing

Maximum power point tracking for wind power generation system fixed step climbing algorithm prone to miscalculation and oscillation shortcomings. Adaptive improved optimal gradient method is put forward to overcome the shortcomings and optimize the existing fixed step climbing algorithm. By Controlling Buck Converter duty radio rapidly match between wind power generation system and load impedance. The simulation result shows that the anti-interference and convergence of the improved hill-climb search algorithm is better than that of the traditional one.

Application of Multiple Level Rules Set in Fault Diagnosis of the Wind Power Generation System

2012 ◽  
Vol 512-515 ◽  
pp. 679-685
Author(s):  
Gui Mei Gu
Keyword(s):  
Power Generation ◽  
Fault Diagnosis ◽  
Wind Power ◽  
Comprehensive Evaluation ◽  
Wind Power Generation ◽  
Decision Table ◽  
Multiple Level ◽  
Generation System ◽  
Power Generation System ◽  
Rules Set

For the incompletion problem of sensors’ collected data in fault diagnosis of the wind power system, this article puts forward a kind of multiple level rules set based on rough set. First, let the sensors’ collected data go through Fourier transform and extract its feature attributes as well as discrete them. Establish the decision table of fault diagnosis according to attribute values. Then set out from the decision table to establish a multiple level set of nodes with diverse reduced levels and deduce the rules of each node, which has a corresponding belief level. When in reasoning and decision-making of the new data using the multiple level rules set, match the information of the new data with the rule of its corresponding node. Finally, achieve the fault diagnosis of wind power generation system by choosing comprehensive evaluation algorithm. The result of the diagnosis example shows the reliability and accuracy of this method in the diagnosis of fault types for wind power generation system.

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