Wind energy system for a laboratory scale micro-grid

Thomas, Tomson; Cheriyan, Elizabeth P.

doi:10.1109/sceecs.2012.6184761

Cited by 9 publications

(6 citation statements)

References 3 publications

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“…According to Betz's Law, no wind turbine can convert more than 59.3% of the kinetic energy of the wind into mechanical energy transformed at the rotor (Cp ≤ 59.3%). that is, only 59.3% of the energy contained in the air flow can theoretically be extracted by a wind turbine (Thomas and Cheriyan, 2012;Oliveira, 2008;Yu et al, 2012).…”

Section: Gross Energy Productionmentioning

confidence: 99%

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An Approach to the Large-Scale Integration of Wind Energy in Albania

Malka

Konomi²,

Gjeta³

et al. 2020

IJEEP

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Recently, the Albanian government has compiled national energy strategy with a special focus on promoting the use of renewable energy sources (RES) which identifies a target of 42% of the final energy consumption from RES by 2030. In this paper, analyses are conducted in order to investigate to which extent and way the absorption capacity of the power system from RES electricity can be improved. As an effective approach of implementing wind power, fostering the accommodation of renewable energy sources, especially on large-scale, a detailed techno-economic analysis of the 164 MW installed grid-connected wind farm, considered as a potential source, Korça district is analyzed. Conjoining two different types energy tools, RETScreen, a tool used on plant scale level and EnergyPLAN model applied for large energy system on national level including all energy sectors an optimization process is notably focused to attain 42% of the final energy consumption from RES by 2030, which was highly preformed in EnergyPLAN model. The results execute in EnergyPLAN identifies that the wind power capacity should be at least1850 MW and an installation cost not more than 1.1m€/ MW considering a bench mark price of electricity €76/MWh. The results of the study highlight the importance of high levels of RES integration which not only reduces greenhouse gases but will technically favor the creation of a flexible and sustainable energy system over time. Finally, the need for a sustainable and clear national energy model is inevitable, reshaping key points factors that hamper the integration on large-scale of wind power in Albania.

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Section: Gross Energy Productionmentioning

confidence: 99%

“…The selection of the turbine must meet different criteria simultaneously given in (David, 2009;Wiser et al, 2016;Hiester and Pennell, 1981;Gipe, 1995;Thomas and Cheriyan, 2012;Rangi et al, 1992;Wang et al, 2017; Canadian Wind Energy Association (CanWEA), 1996).…”

Section: Wind Turbine Type Selectionmentioning

confidence: 99%

An Approach to the Large-Scale Integration of Wind Energy in Albania

Malka

Konomi²,

Gjeta³

et al. 2020

IJEEP

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“…The TSR can be defined as the ratio of turbine blade linear speed to the wind speed and is represented by Equation (2).

λ = \frac{R ω}{normalV}

where, ω denotes the rotational speed in radians per second and R denotes the radius of wind turbine in m. Equation (3) represents the power coefficient as, 39

C_{p} false(λ, β false) = k_{1} (\frac{k_{2}}{λ_{i}} - k_{3} β - k_{4} β^{k_{5}} - k_{6}) e^{\frac{true}{k_{7}}}

where k 1 to k 8 are constants.

\frac{1}{λ_{i}} = λ + k_{8}

…”

Section: Overview and Modeling Of Dfig‐based Wind Energy Systemsmentioning

confidence: 99%

Event analysis and real‐time validation of doubly fed induction generator‐based wind energy system with grid reactive power exchange under sub‐synchronous and super‐synchronous modes

Thomas

Asok

2020

Engineering Reports

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The insertion of renewable power generators into the power system network has been promoted by the environment protection aspects. Doubly fed induction generator (DFIG)-based wind energy system is one of the most viable technologies for sustained power generation. This paper focuses on the operational analysis of DFIG-based wind energy conversion systems (WECS) with real-time experimental validation. An event analysis is executed under sub-synchronous and super-synchronous speeds with the variation in wind velocity and reactive power exchange by controlling the rotor side converter and grid side converter under MATLAB/Simulink platform. The results of the analysis with reactive power exchange can be utilized for the enhanced control of power electronic converters of DFIG-based WECS for better support to the grid. The validation of results is accomplished by emulation of 2 MW DFIG-based three blade wind turbine system in the laboratory under a real-time hardware-in-the-loop platform. K E Y W O R D S doubly fed induction generator, hardware-in-the-loop, renewable energy sources, renewable power generators, wind energy conversion systems This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…According [7], to take into account this physical characteristic, an index called power coefficient Cp is introduced, which can be defined as the fraction of the available wind power that can be extracted by the rotor blades (see Figure 1). According to Betz's Law, no wind turbine can convert more than 59.3% of the kinetic energy of the wind into mechanical energy transformed at the rotor (Cp ≤ 59.3%), that is, only 59.3% of the energy contained in the air flow can theoretically be extracted by a wind turbine [13,14]. According to Betz's Law, no wind turbine can convert more than 59.3% of the kinetic energy of the wind into mechanical energy transformed at the rotor (C p ≤ 59.3%), that is, only 59.3% of the energy contained in the air flow can theoretically be extracted by a wind turbine [13,14].…”

Section: Wind Power Generation Potentialmentioning

confidence: 99%

“…According to Betz's Law, no wind turbine can convert more than 59.3% of the kinetic energy of the wind into mechanical energy transformed at the rotor (Cp ≤ 59.3%), that is, only 59.3% of the energy contained in the air flow can theoretically be extracted by a wind turbine [13,14]. According to Betz's Law, no wind turbine can convert more than 59.3% of the kinetic energy of the wind into mechanical energy transformed at the rotor (C p ≤ 59.3%), that is, only 59.3% of the energy contained in the air flow can theoretically be extracted by a wind turbine [13,14]. The potential of electric energy produced from wind generation is obtained through the kinetic energy of the winds, which is converted into mechanical energy by a process that turns the wind into torque acting on the rotor blades.…”

Section: Wind Power Generation Potentialmentioning

confidence: 99%

Different Models for Forecasting Wind Power Generation: Case Study

et al. 2017

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Generation of electric energy through wind turbines is one of the practically inexhaustible alternatives of generation. It is considered a source of clean energy, but still needs a lot of research for the development of science and technologies that ensures uniformity in generation, providing a greater participation of this source in the energy matrix, since the wind presents abrupt variations in speed, density and other important variables. In wind-based electrical systems, it is essential to predict at least one day in advance the future values of wind behavior, in order to evaluate the availability of energy for the next period, which is relevant information in the dispatch of the generating units and in the control of the electrical system. This paper develops ultra-short, short, medium and long-term prediction models of wind speed, based on computational intelligence techniques, using artificial neural network models, Autoregressive Integrated Moving Average (ARIMA) and hybrid models including forecasting using wavelets. For the application of the methodology, the meteorological variables of the database of the national organization system of environmental data (SONDA), Petrolina station, from 1 January 2004 to 31 March 2017, were used. A comparison among results by different used approaches is also done and it is also predicted the possibility of power and energy generation using a certain kind of wind generator.

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Wind energy system for a laboratory scale micro-grid

Cited by 9 publications

References 3 publications

An Approach to the Large-Scale Integration of Wind Energy in Albania

An Approach to the Large-Scale Integration of Wind Energy in Albania

Event analysis and real‐time validation of doubly fed induction generator‐based wind energy system with grid reactive power exchange under sub‐synchronous and super‐synchronous modes

Different Models for Forecasting Wind Power Generation: Case Study

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