Wind is a convenient and powerful source of energy. Power generation in a variable speed wind turbine is an interesting topic; since in wind energy converter systems, maximum utilization can be achieved at any speed. But this system needs its parameters to calculate the More
Wind is a convenient and powerful source of energy. Power generation in a variable speed wind turbine is an interesting topic; since in wind energy converter systems, maximum utilization can be achieved at any speed. But this system needs its parameters to calculate the optimal speed of the turbine. In this article, a control method for tracking the maximum power point in the wind energy converter system is presented, which has been used for simulation and design along with fuzzy control by Mamdani method. In this article, the wind energy converter system is a two-fed induction generator, which is connected to the grid with a rotor and a stator. The input of the control system is the difference between the desired speed of the generator and its actual speed. The optimal speed is the rotational speed at which the generator receives the maximum power from the wind turbine. After conducting simulations and designing a suitable fuzzy controller for the system, it was found that the incorrect selection of a parameter has an adverse effect on the control process of a system.
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Background and Objective: Wind energy is an important energy source on earth that can be converted to electricity. The wind energy compared to fossil fuels is widely used because of its availability, stability, reducing air pollution and for economic reasons. The aim of More
Background and Objective: Wind energy is an important energy source on earth that can be converted to electricity. The wind energy compared to fossil fuels is widely used because of its availability, stability, reducing air pollution and for economic reasons. The aim of this study is to analysize wind energy potential using the Wiebull distribution and the data recorded in synoptic and climatologically stations. The Windographer software is used for calculations.
Method: In this study, hourly wind speed and direction data for 2005 to 2007 in 7 stations (6 synoptic and 1 climatology stations) were investigated and Wiebull distribution function fitted to data. Then, corresponding plots including wind rose, wind speed, and wind power curve were provided, and finally wind energy density was estimated. Moreover, the zoning map of wind potential density (WPD) for the study area was drawn.
Conclusion: Wind power density was 745 watts per square meter at Hzarkanian station on 50meters height from ground surface, which has been placed in category 6 of American Atlas Table for wind energy. Such region is considered to be windy and wind park. Bijar station in the east of Kurdistan and Zarineh station in the north of Kurdistan, with 301 and 200 watt per square meters wind power density, respectively, ranked in the next place. Other stations had low mean wind speed and power energy lower than 200 watt per square meters. Based on international standards, such places are considered as regions with low wind and inappropriate for installation of wind turbines to extract electricity.
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Wind power generation is making an increasingly significant contribution to global electricity production. The high penetration of wind power poses many operational and control challenges that affects the reliability and stability of power systems. In this Paper, the re More
Wind power generation is making an increasingly significant contribution to global electricity production. The high penetration of wind power poses many operational and control challenges that affects the reliability and stability of power systems. In this Paper, the reported technical challenges caused by the grid integration of wind energy conversion system (WECS) and the proposed solutions methodologies represents. The wind-generating system components and architecture are investigated at the beginning of this article for analysis and stability studies purposes, then are addressed various technical challenges; each challenge is discussed individually, focusing on the bulk integration of wind energy into the power systems. Some solutions, including grids code, energy storage technologies, appropriate control strategies, and other methodologies employed to mitigate the effects of the integration, are also included. This review is ready-reckoner of essential topics for further research of wind energy and available technologies in this field. This review provides ready-reckoner of essential topics for grid integration of wind energy and available technologies in direction of overcome the related difficulties.
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In this paper security constraints unit commitment (SCUC) in the presence of wind power resources and electrical vehicles to grid is presented. SCUC operation prepare an optimal time table for generation unit commitment in order to maximize security, minimize operation More
In this paper security constraints unit commitment (SCUC) in the presence of wind power resources and electrical vehicles to grid is presented. SCUC operation prepare an optimal time table for generation unit commitment in order to maximize security, minimize operation cost and satisfy the constraints of networks and units in a period of time, as one of the most important research interest in power systems. Today, the relationship between power network and energy storage systems is interested for many researchers and network operators. Using Electrical Vehicles (PEVs) and wind power for energy production is one of the newest proposed methods for replacing fossil fuels.One of the effective strategies for analyzing of the effects of Vehicle 2 Grid (V2G) and wind power in optimal operation of generation is running of SCUC for power systems that are equipped with V2G and wind power resources. In this paper, game theory method is employed for deterministic solution of day-ahead unit commitment with considering security constraints in the simultaneous presence of V2G and wind power units. This problem for two scenarios of grid-controlled mode and consumer-controlled mode in three different days with light, medium and heavy load profiles is analyzed. Simulation results show the effectiveness of the presence of V2G and wind power for decreasing of generation cost and improving operation indices of power systems.
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