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Selecting Locations and Sizes of Battery Storage Systems Based on the Frequency of the Center of Inertia and Principle Component Analysis

机译:基于惯性中心频率和主成分分析的电池存储系统位置和尺寸选择

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摘要

This article develops, implements, and tests a method for selecting the locations and sizes of battery storage systems (BSSs) for power systems with distributed power generation. The developed method is based on calculating the coherency index for each bus to determine its contribution to the frequency of the center of inertia (COI) during and post a transient event. Once the coherency index is calculated for all buses, the principle component analysis (PCA) is used to identify the buses with consistent low values of the coherency index. These buses are considered as candidate locations for BSSs. In addition, the lowest values of the coherency index are used to determine the required sizes of BSSs to be connected at the buses with low contributions to the frequency of the COI. The performance of the PCA with COI (PCA-COI) method is evaluated for the Barbados power system for various transient events. Performance results show that BSSs (selected using the proposed method) can effectively improve the frequency stability with minor sensitivity to the levels of distributed power generation, loading levels, and/or type or location of transient events.
机译:本文开发,实现和测试一种为分布式发电的电力系统选择电池存储系统(BSS)的位置和大小的方法。所开发的方法基于计算每个总线的相干指数,以确定其在瞬态事件发生期间和之后对惯性中心(COI)频率的贡献。一旦为所有总线计算了一致性指数,就可以使用主成分分析(PCA)来识别一致性指数较低的总线。这些总线被视为BSS的候选位置。另外,相干指数的最小值用于确定要在总线上连接的BSS的所需大小,而这些BSS对COI频率的贡献很小。针对巴巴多斯电力系统的各种瞬态事件,评估了带COI的PCA(PCA-COI)方法的性能。性能结果表明,BSS(使用所提出的方法进行选择)可以有效地改善频率稳定性,并且对分布式发电水平,负载水平和/或瞬变事件的类型或位置具有较小的敏感性。

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