scholarly journals SIMULATION BASED DESIGNING OF CONTROL SYSTEMS FOR WIND POWER GENERATION

Author(s):  
Guruswamy Revana ◽  
Amrutha D.E ◽  
Spandana D ◽  
Anusha D

Wind power is a domestic source of energy, harnessing a limitless local resource and is a potential source of clean electricity generation. Wind is utilized to create electrical energy by means of the kinetic energy formed by air into movement. This energy is changed to electrical energy by wind speed turbines or also called as wind energy exchange systems. Wind speed power generation creates a progressively more significant position in the method the humans power the world. During the process of wind power generation, a variety of characteristics are to be controlled for efficient working of the system and to avoid failure of continuous power supply. In this project we are aiming to control a few such characteristic such as pitch angle, voltage sag and faults that influence wind power generation. The DC link voltage of the Doubly Fed Induction Generator (DFIG) is also monitored. In this wind turbine system consists of wind turbine, AC generator and controllers are considered. The major purpose of the paper is to find out the mathematical model of the wind turbine, authenticate it by simulation, and devise a suitable controller to present a common aim of outlook regarding the use of this type of clean energy production. Various rudiments are connected collectively and the complete arrangement is modelled and also simulated. The simulation results verify the accuracy of the mathematical models developed and can be utilized for a improved design of systems. Wind turbines make use DFIG which consists of wound rotor type induction generator and a PWM converter of IGBT bases of AC/DC/AC. The stator winding is connected directly to the 60 Hz grid while the rotor is fed at variable frequency through the AC/DC/AC converter. The DFIG machinery permits pulling out highest energy from the wind from lowest wind speeds and optimizing the speed of the turbine there by decreasing mechanical stresses on the turbine during gusts of wind. The most favourable turbine speed producing increased mechanical energy for a given speed of the wind which is directly proportional to the wind speed. The other merit of the DFIG expertise is the capability for the converters of power electronics to produce or take in reactive power, thereby reducing the need for putting in capacitor banks as done for the generators of squirrel-cage induction motor type.

2022 ◽  
Vol 7 ◽  
pp. 9
Author(s):  
Seyed Amir Kaboli ◽  
Reyhaneh Nazmabadi

There continues to be significant attention and investment in wind power generation, which can supply a high percentage of the global demand for renewable energy if harvested efficiently. The research study is based on techno-economic analysis of the feasibility of implementing wind power generation in Kuwait with a power generation capacity of 105 MW based on 50 wind turbines, which has a major requirement for clean energy. The study focused on three main areas of analysis and numerical modeling using the RETScreen software tool. The first area involved evaluating the performance and efficacy of generating wind power by collecting, analyzing, and modeling data on observed wind levels, wind turbine operation, and wind power generation. The second area comprised an environmental impact review to assess the environmental benefits of implementing wind power. The third area involved economic analysis of installing wind power in Kuwait. The analysis was undertaken to assess the energy recovery time for wind energy and determine the mitigation of global warming and pollution levels, the decrease of toxic emissions, and any cost savings from implementing clean energy systems in Kuwait. Additionally, sensitivity analysis was undertaken to determine the impact of certain variables in the modeling process. The results are used to estimate that the energy price would be $0.053 per kWh for a power generation capacity of 105 MWh based on an initial cost of $168 million and O&M of $5 million for 214,000 MWh of electricity exported to the grid. Moreover, the wind turbine farm will potentially avoid the emission of approximately 1.8 million tonnes of carbon dioxide per year, thereby saving approximately $9 million over 20 years spent installing carbon capture systems for conventional power plants. The wind farm containing a simple wind turbine is estimated to have a payback period of 9.1 years.


2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Teuku Multazam ◽  
Andi Mulkan

<p class="IJOPCMKeywards"><span lang="EN-US">Wind power is dominant energy converted into electricity through wind turbine generators used in wind energy conversion systems. Technological developments produce various types of generators for use in wind power plants of various scales. Permanent magnet generator (PMG) has advantage of being able to produce electrical energy of 500 watts at rotation 600 rotate per minute with an input wind speed of 2.5-12 m/s. The potential for average wind speed throughout the year in Aceh is around 1.5-6.5 m/s cannot be generate electric power because mechanical energy from turbine rotation is not sufficient to meet the minimum demand for RPM generators. The design of a horizontal axis wind turbine (HAWT) with Air Foil Naca 2410 is used to increase the efficiency of the turbine rotation. It’s influenced by variations in the number of blades and material used. Stages of simulation are prioritized to get efficient variations of the number of blades and the most effective material testing is performed. The results showed that variation of the axis of a three-blade wind turbine type has a higher coefficient of power that is 50 percent compared the other, the type of material wind turbines made from pinus more optimal than fiberglass</span><span lang="EN-US">.</span></p>


2022 ◽  
Vol 4 (1) ◽  
pp. 14-34
Author(s):  
Ali M. H. A. Khajah ◽  
Simon P. Philbin

There continues to be significant attention and investment in wind power generation, which can supply a high percentage of the global demand for renewable energy if harvested efficiently. The research study is based on a techno-economic analysis of the feasibility of implementing wind power generation in Kuwait for 105 MW of electricity generation based on 50 wind turbines, which is a major requirement for clean energy. The study focused on three main areas of analysis and numerical modelling using the RETScreen software tool. The first area involved evaluating the performance and efficacy of generating wind power by collecting, analysing, and modelling data on observed wind levels, wind turbine operation, and wind power generation. The second area comprised an environmental impact report to assess the environmental benefits of implementing wind power. The third area involved economic analysis of installing wind power in Kuwait. The analysis was undertaken to determine the energy recovery time for wind energy and determine the mitigation of global warming and pollution levels, the decrease of toxic emissions, and any cost savings from implementing clean energy systems in Kuwait. Additionally, sensitivity analysis was undertaken to determine the impact of certain variables in the modelling process. The results were used to estimate that the energy price would be $0.053 per kWh for a power generation capacity of 105 MWh based on an initial cost of US $168 million and O&M of $5 million for 214,000 MWh of electricity exported to the grid. Moreover, the wind turbine farm will potentially avoid the emission of approximately 1.8 million t of carbon dioxide per year, thereby saving about $9 million over 20 years spent through installing carbon capture systems for conventional power plants. The wind farm is estimated to have a payback time of 9.1 years.


2013 ◽  
Vol 2 (2) ◽  
pp. 69-74 ◽  
Author(s):  
A.K. Rajeevan ◽  
P.V. Shouri ◽  
Usha Nair

A wind turbine generator output at a specific site depends on many factors, particularly cut- in, rated and cut-out wind speed parameters. Hence power output varies from turbine to turbine. The objective of this paper is to develop a mathematical relationship between reliability and wind power generation. The analytical computation of monthly wind power is obtained from weibull statistical model using cubic mean cube root of wind speed. Reliability calculation is based on failure probability analysis. There are many different types of wind turbinescommercially available in the market. From reliability point of view, to get optimum reliability in power generation, it is desirable to select a wind turbine generator which is best suited for a site. The mathematical relationship developed in this paper can be used for site-matching turbine selection in reliability point of view.


2009 ◽  
Vol 1 (07) ◽  
pp. 117-122 ◽  
Author(s):  
Orlando Manuel Soares ◽  
Henrique Nuno Goncalves ◽  
António Pina Martins ◽  
Adriano da Silva Carvalho

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