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Transmission Contingency Analysis Based on Integrated Transmission and Distribution Power Flow in Smart Grid

机译:基于智能电网输配电潮流的传输偶然性分析

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摘要

In future smart grids, with distribution networks having loops more frequently, current transmission contingency analysis (TCA) which usually neglects the distribution power flow variations after a contingency may leave out severe outages. With more distribution management systems deployed on the distribution side, a new transmission CA method based on global power flow (GPF) analysis which integrates both the transmission and distribution power flow is proposed in this paper (named as GTCA) to address the problem. The definition and new features of GTCA are first introduced. Then, the necessity of GTCA is physically illustrated. Difference in the results of GTCA and TCA is mathematically analyzed. A GPF-embedded algorithm of performing GTCA is then provided. The data exchange process and the performance with communication interruptions are discussed. As multiple contingencies are considered in GTCA, several approaches are proposed and discussed to reduce communication burdens and improve the computational efficiency. Plenty of numerical tests are performed in several systems to verify the theoretical analysis. With theoretical analysis and numerical verification, it is suggested that GTCA should be performed instead of TCA to avoid potential false alarms, especially in the condition that DNs are more frequently looped in the future smart grids.
机译:在未来的智能电网中,随着配电网络中回路的频繁出现,当前的传输偶然性分析(TCA)通常会忽略偶然性之后配电功率的变化,从而可能会导致严重的电力中断。通过在配电侧部署更多的配电管理系统,本文提出了一种基于全局潮流(GPF)分析的传输CA方法,该方法将输电和配电潮流融合在一起,以解决该问题。首先介绍了GTCA的定义和新功能。然后,从物理上说明了GTCA的必要性。用数学方法分析了GTCA和TCA结果的差异。然后提供了执行GTCA的GPF嵌入式算法。讨论了数据交换过程和通信中断时的性能。由于在GTCA中考虑了多种意外情况,因此提出并讨论了几种方法来减轻通信负担并提高计算效率。在几个系统中进行了大量的数值测试,以验证理论分析。通过理论分析和数值验证,建议应执行GTCA而不是TCA,以避免潜在的误报,尤其是在将来的智能电网中DN更频繁地循环的情况下。

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