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Development and assessment of a robust optimization metric for WAMPAC modeling

机译:开发和评估用于WAMPAC建模的强大优化指标

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A PMU based WAMS is to be placed on a weakly coupled section of distribution grid, with high levels of distributed generation. In anticipation of PMU data a Siemens PSS/E model of the electrical environment has been used to return similar data to that expected from the WAMS. This data is then used to create a metric that reflects optimization, control and protection in the region. System states are iterated through with the most desirable one returning the lowest optimization metric, this state is assessed against the one returned by PSS/E under normal circumstances. This paper investigates the circumstances that trigger SPS in the region, through varying generation between 0 and 110% and compromising the network through line loss under summer minimum and winter maximum conditions. It is found that the optimized state can generally tolerate an additional 2 MW of generation (3% of total) before encroaching the same thresholds and in one instance moves the triggering to 100% of generation output.
机译:基于PMU的WAMS将放置在配电网的弱耦合段上,并具有较高的分布式发电水平。在预期PMU数据的情况下,已使用电气环境的Siemens PSS / E模型来返回与WAMS预期相似的数据。然后,该数据将用于创建反映该区域的优化,控制和保护的指标。系统状态会以最理想的状态返回最低的优化指标进行迭代,在正常情况下,将根据PSS / E返回的状态来评估该状态。本文研究了通过在0%到110%之间变化的发电量并在夏季最低和冬季最高条件下通过线损损害网络来触发该区域的SPS的情况。已经发现,优化状态在侵害相同阈值之前通常可以容忍额外的2 MW发电量(占总发电量的3%),并且在一种情况下,将触发移至发电量输出的100%。

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