Overview of different wind generator systems and their comparisons

Inst. of Energy Technol., Aalborg Univ., Aalborg
IET Renewable Power Generation (Impact Factor: 1.9). 07/2008; 2(2):123 - 138. DOI: 10.1049/iet-rpg:20070044
Source: IEEE Xplore


With rapid development of wind power technologies and significant growth of wind power capacity installed worldwide, various wind turbine concepts have been developed. The wind energy conversion system is demanded to be more cost-competitive, so that comparisons of different wind generator systems are necessary. An overview of different wind generator systems and their comparisons are presented. First, the contemporary wind turbines are classified with respect to both their control features and drive train types, and their strengths and weaknesses are described. The promising permanent magnet generator types are also investigated. Then, the quantitative comparison and market penetration of different wind generator systems are presented. Finally, the developing trends of wind generator systems and appropriate comparison criteria are discussed. It is shown that variable speed concepts with power electronics will continue to dominate and be very promising technologies for large wind farms. The future success of different wind turbine concepts may strongly depend on their ability of complying with both market expectations and the requirements of grid utility companies.

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    • "A. Type 1 WECS Configuration A fixed-speed SCIG-based WECS without power converter interface (Type 1 turbine) is illustrated in Fig. 5(a), where the generator is connected to the grid through a soft starter and step-up transformer [49], [66], [93]. This is the oldest and very first technology (''Danish'' concept) developed for the wind turbines. "
    Dataset: 07109820

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    • "Furthermore, direct-drive coupling is more efficient and reliable and is more popular for small-scale wind turbines [22]. In spite of high cost, permanent magnet synchronous generators (PMSGs) are the most dominant type of direct-drive generators in the market [22], chiefly due to higher efficiency. From Fig. 1, it can be seen that battery bank is connected to the dc bus through a dc-coupled structure, i.e., via a dc-dc converter , which is more flexible in terms of implementing different charging and discharging regimes despite more power losses [19]. "
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    ABSTRACT: Due to substantial generation and demand fluctuations in standalone green microgrids, energy management strategies are becoming essential for the power sharing purpose and regulating the microgrid voltage. The classical energy management strategies employ the maximum power point tracking (MPPT) algorithms and rely on batteries in case of possible excess or deficit of energy. However, in order to realize constant current-constant voltage (IU) charging regime and increase the life span of the batteries, energy management strategies require being more flexible, equipped with the power curtailment feature. In this paper, we propose a coordinated and multivariable energy management strategy to control the operation of a wind turbine and a photovoltaic array of a standalone DC microgrid, by controlling the pitch angle and the switching duty cycles, to ensure that they act as controllable generators. The proposed strategy is developed as a nonlinear model predictive control (NMPC) algorithm. It is shown that applying the proposed controller to a sample standalone dc microgrid, the battery bank is charged according to the IU charging regime. The variable load demands are also shared accurately between generators in proportion to their ratings. Moreover, the DC bus voltage is regulated within a predefined range, as a design parameter.
    IEEE Transactions on Power Systems 09/2015; 30(5):2278 - 2287. DOI:10.1109/TPWRS.2014.2360434 · 2.81 Impact Factor
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    • "Wind turbine generators (WTGs) are devices that convert wind power into kinetic energy, and are regarded as one of the most important renewable sources of power (Leithead, 2007). Energy generated from WTGs can be used to produce electricity and drive machinery (Caduff et al., 2012; Chang Chien et al., 2011; Li and Chen, 2008). It is thought that large scale utilization of these devices can improve global climate by extracting energy from the atmosphere and altering the pattern of gaseous flow in the earth's atmosphere (Keith et al., 2004). "
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    ABSTRACT: Noise generated by wind turbines has been reported to affect sleep and quality of life (QOL), but the relationship is unclear. Our objective was to explore the association between wind turbine noise, sleep disturbance and quality of life, using data from published observational studies. We searched Medline, Embase, Global Health and Google Scholar databases. No language restrictions were imposed. Hand searches of bibliography of retrieved full texts were also conducted. The reporting quality of included studies was assessed using the STROBE guidelines. Two reviewers independently determined the eligibility of studies, assessed the quality of included studies, and extracted the data. We included eight studies with a total of 2433 participants. All studies were cross-sectional, and the overall reporting quality was moderate. Meta-analysis of six studies (n=2364) revealed that the odds of being annoyed is significantly increased by wind turbine noise (OR: 4.08; 95% CI: 2.37 to 7.04; p<0.00001). The odds of sleep disturbance was also significantly increased with greater exposure to wind turbine noise (OR: 2.94; 95% CI: 1.98 to 4.37; p<0.00001). Four studies reported that wind turbine noise significantly interfered with QOL. Further, visual perception of wind turbine generators was associated with greater frequency of reported negative health effects. In conclusion, there is some evidence that exposure to wind turbine noise is associated with increased odds of annoyance and sleep problems. Individual attitudes could influence the type of response to noise from wind turbines. Experimental and observational studies investigating the relationship between wind turbine noise and health are warranted. Copyright © 2015 Elsevier Ltd. All rights reserved.
    Environment international 09/2015; 82:1-9. DOI:10.1016/j.envint.2015.04.014 · 5.56 Impact Factor
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