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Power system online security assessment using synchronized phasor measurements and decision trees.

机译：使用同步相量测量和决策树进行电力系统在线安全评估。

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摘要

Since modern power systems are being operated at a more stressed level due to deregulation and the difficulty of increasing transmission capacity, severe security problems can be initiated by critical contingencies that eventually lead to a major blackout. So far, detailed security analysis for N-k contingencies (k = 1, 2, 3, 4...) in a near real-time setting is still a great challenge because of the super-high computational burden. This dissertation presents a decision tree (DT) assisted scheme to rapidly and accurately evaluate various system security issues using synchronized phasor measurements, including the assessment of transient stability, voltage stability, voltage magnitude violation and thermal violation problems following severe contingencies. The main procedure includes three steps: (1) offline DT training, (2) periodic DT update and (3) online application.;From exhaustive offline security simulations, DTs can identify critical system attributes as security indicators and provide predictive models with excellent performance. Periodically updated nomograms are also defined using critical system attributes, showing operating regions with different risk levels. For online application, the corresponding phasor measurement unit (PMU) measurements are collected and compared with the offline-defined thresholds in the DT models to obtain an assessment result if a critical contingency occurs. An insecure result indicates that control actions need to be armed as quickly as possible. The proposed scheme provides an important alternative for system operators to make near real time decisions and arm remedial control actions. The proposed approach is tested on three realistic power system models in the U.S. for different security assessment objectives, including the Entergy system, the American Electric Power (AEP) system and the Salt River Project (SRP) system.;The results show that properly trained decision trees can obtain very high prediction accuracy and demonstrate good robustness under changing system conditions. Several innovative methods to improve decision tree performance are proposed and tested, including the applications of 'multiple optimal DTs' and 'corrective DTs'. In addition, the idea of tuning critical system attributes to design preventive control actions is introduced for enhancing system security.
机译：由于现代电力系统由于放松管制和增加输电容量的困难而在更高的压力下运行，因此严重的突发事件可能引发严重的安全问题，最终导致重大停电。到目前为止，由于超高的计算负担，在接近实时的环境下对N-k偶发事件（k = 1，2，3，4 ...）进行详细的安全分析仍然是一个巨大的挑战。本文提出了一种决策树（DT）辅助方案，利用同步相量测量来快速，准确地评估各种系统安全性问题，包括评估瞬态稳定性，电压稳定性，电压幅值违规和严重突发事件后的热违规问题。主要过程包括三个步骤：（1）脱机DT培训，（2）定期DT更新和（3）联机应用。;通过详尽的脱机安全性仿真，DT可以识别关键系统属性作为安全性指标，并提供性能优异的预测模型。还使用关键系统属性定义定期更新的列线图，显示具有不同风险级别的操作区域。对于在线应用，将收集相应的相量测量单位（PMU）测量值，并将其与DT模型中离线定义的阈值进行比较，以在出现紧急情况时获得评估结果。不安全的结果表示需要尽快布防控制措施。所提出的方案为系统操作员提供了近乎实时的决策和武装补救控制行动的重要选择。在美国针对不同安全评估目标的三种实际电力系统模型上对提出的方法进行了测试，包括Entergy系统，American Electric Power（AEP）系统和Salt River Project（SRP）系统。结果表明，经过适当培训决策树可以获得非常高的预测精度，并在不断变化的系统条件下表现出良好的鲁棒性。提出并测试了几种改进决策树性能的创新方法，包括“多个最佳DT”和“校正DT”的应用。此外，引入了调整关键系统属性以设计预防性控制措施的想法，以增强系统安全性。

著录项

  • 作者

    Diao, Ruisheng.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 133 p.
  • 总页数 133
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

  • 入库时间 2022-08-17 11:38:25

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