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Voltage profile improvement with distributed wind turbine generation-a case study

机译:分布式风力发电机组改善电压曲线的案例研究

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Distributed generation is becoming increasingly attractive to power industry. Several distributed generation technologies such as wind turbine generation (WTG) and microturbines are showing promise. Strategically sited distributed generation has been proposed to provide several benefits to electric utilities. One of the important benefit of distributed generation is voltage profile improvement. This paper presents a probabilistic approach based on convolution technique to quantify this benefit in the case of WTG. Mathematical expressions for the probability density function and expected value of load voltage are developed to analyze this benefit for a simple case. Quantification of this benefit is discussed in terms of the mean value of load voltage. A comparison of the results of expected value of load voltage obtained using the probabilistic approach and a nonprobabilistic approach employing average values of WTG output and load is presented to investigate whether the non-probabilistic approach is justified.
机译:分布式发电对电力行业越来越有吸引力。风力发电机(WTG)和微型涡轮机等多种分布式发电技术正展现出希望。已经提出了战略性的分布式发电,以给电力公司带来一些好处。分布式发电的重要好处之一是改善了电压曲线。本文提出了一种基于卷积技术的概率方法来量化在WTG情况下的这种好处。开发了概率密度函数和负载电压期望值的数学表达式,以在简单情况下分析此好处。根据负载电压的平均值讨论了这种好处的量化。提出了使用概率方法和采用WTG输出和负载平均值的非概率方法获得的负载电压期望值的结果的比较,以研究这种非概率方法是否合理。

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