Modeling and simulation of a wind turbine-generator system

Cultura, Ambrosio B.; Salameh, Z.M.

doi:10.1109/pes.2011.6039668

Cited by 27 publications

(12 citation statements)

References 1 publication

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“…If we assume the average yearly energy demand as , we can determine average wind turbine diameter WT using (12), so that wind turbine type can be defined easily [32]:…”

Section: Pv Modulementioning

confidence: 99%

Sizing and Simulation of PV-Wind Hybrid Power System

Engin

2013

International Journal of Photoenergy

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A sizing procedure is developed for hybrid system with the aid of mathematical models for photovoltaic cell, wind turbine, and battery that are readily present in the literature. This sizing procedure can simulate the annual performance of different kinds of photovoltaic-wind hybrid power system structures for an identified set of renewable resources, which fulfills technical limitations with the lowest energy cost. The output of the program will display the performance of the system during the year, the total cost of the system, and the best size for the PV-generator, wind generator, and battery capacity. Security lightning application is selected, whereas system performance data and environmental operating conditions are measured and stored. This hybrid system, which includes a PV, wind turbine, inverter, and a battery, was installed to supply energy to 24 W lamps, considering that the renewable energy resources of this site where the system was installed were 1700 Wh/m2/day solar radiation and 3.43 m/s yearly average wind speed. Using the measured variables, the inverter and charge regulator efficiencies were calculated as 90% and 98%, respectively, and the overall system’s electrical efficiency is calculated as 72%. Life cycle costs per kWh are found to be $0.89 and LLP = 0.0428.

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“…If we assume the average yearly energy demand as , we can determine average wind turbine diameter WT using (12), so that wind turbine type can be defined easily [32]:…”

Section: Pv Modulementioning

confidence: 99%

Sizing and Simulation of PV-Wind Hybrid Power System

Engin

2013

International Journal of Photoenergy

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“…Coefficient of power (C p ) can be modeled based on the aerodynamic principles based blade design as given in (7) [8].…”

Section: λ = T Angential Speed Of the Tip Of The Blade Speed Of The Windmentioning

confidence: 99%

Design and development of real-time small-scale wind turbine simulator

Hussain

Mishra

2014

2014 IEEE 6th India International Conference on Power Electronics (IICPE)

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Application of power electronics in machine control facilitates emulation of practical wind turbine characteristics using electric machine. In this paper, to test and evaluate the performance of newly developed control schemes for the efficient operation of wind energy conversion system, an in-lab small-scale wind turbine simulator has been developed using a separately excited DC motor coupled to a permanent magnet synchronous generator. Steady state characteristics and dynamic behavior of the practical wind turbine are satisfactorily reproduced by the DC motor. Steady state characteristics like tip speed ratio versus coefficient of power, rotor speed versus turbine output power and dynamic response during furling mechanism at high wind velocities are emulated from the developed wind turbine simulator. The simulator system is tested in response to the wind profile data recorded in the field at the hub height of 18.5 meters. The developed wind turbine simulator can be used to represent wind energy conversion system in the process of the development of in-lab microgrid system.

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“…2. This relation is obtained by expressing the power coefficient C p as a function of TSR and pitch angle (β) as given in [10],…”

Section: B Wind Speed Estimationmentioning

confidence: 99%

Adaptive MPPT control algorithm for small-scale wind energy conversion systems

Hussain

Mishra

2014

2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

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This paper presents a new adaptive control scheme for small-scale wind energy conversion systems to extract maximum power from turbulent wind for microgrid systems. To improve the system reliability, the proposed maximum power point tracking algorithm is implemented without using mechanical sensors for the measurement of wind speed and generator speed. These two mechanical quantities are estimated from the measured electrical quantities of the system. During initial stage of execution, the control algorithm runs in system-independent mode and after acquiring system related information, it enters into system-specific mode. Effectiveness of the proposed control scheme is verified through simulation studies.Index Terms-Microgrid, Small-scale wind energy conversion system, Mechanical sensorless MPPT control algorithm.

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Modeling and simulation of a wind turbine-generator system

Cited by 27 publications

References 1 publication

Sizing and Simulation of PV-Wind Hybrid Power System

Sizing and Simulation of PV-Wind Hybrid Power System

Design and development of real-time small-scale wind turbine simulator

Adaptive MPPT control algorithm for small-scale wind energy conversion systems

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