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Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution

机译:基于威布尔分布的风电并网功率损耗分析

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摘要

The growth of electrical demand increases the need of renewable energy sources, such as wind energy, to meet that need. Electrical power losses are an important factor when wind farm location and size are selected. The capitalized cost of constant power losses during the life of a wind farm will continue to high levels. During the operation period, a method to determine if the losses meet the requirements of the design is significantly needed. This article presents a Simulink simulation of wind farm integration into the grid; the aim is to achieve a better understanding of wind variation impact on grid losses. The real power losses are set as a function of the annual variation, considering a Weibull distribution. An analytical method has been used to select the size and placement of a wind farm, taking into account active power loss reduction. It proposes a fast linear model estimation to find the optimal capacity of a wind farm based on DC power flow and graph theory. The results show that the analytical approach is capable of predicting the optimal size and location of wind turbines. Furthermore, it revealed that the annual variation of wind speed could have a strong effect on real power loss calculations. In addition to helping to improve utility efficiency, the proposed method can develop specific designs to speeding up integration of wind farms into grids.
机译:电力需求的增长增加了对可再生能源如风能的需求,以满足这种需求。选择风电场的位置和大小时,电功率损耗是一个重要因素。在风电场的使用寿命中,恒定功率损耗的资本化成本将继续保持较高水平。在运营期间,非常需要一种确定损耗是否满足设计要求的方法。本文介绍了将风电场集成到电网中的Simulink仿真。目的是更好地了解风的变化对电网损耗的影响。考虑Weibull分布,将实际功率损耗设置为年度变化的函数。考虑到有功功率的减少,已经使用一种分析方法来选择风电场的大小和位置。提出了基于直流潮流和图论的快速线性模型估计,以找到风电场的最佳容量。结果表明,该分析方法能够预测风力涡轮机的最佳尺寸和位置。此外,它表明风速的年度变化可能对实际功率损耗的计算有很大影响。除了帮助提高公用事业效率外,所提出的方法还可以开发特定的设计,以加快将风电场整合到电网中的速度。

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