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首页> 外文期刊>IEEE Transactions on Power Systems >A Systematic Approach for Dynamic Security Assessment and the Corresponding Preventive Control Scheme Based on Decision Trees
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A Systematic Approach for Dynamic Security Assessment and the Corresponding Preventive Control Scheme Based on Decision Trees

机译：基于决策树的动态安全评估系统方法及相应的预防控制方案

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This paper proposes a decision tree (DT)-based systematic approach for cooperative online power system dynamic security assessment (DSA) and preventive control. This approach adopts a new methodology that trains two contingency-oriented DTs on a daily basis by the databases generated from power system simulations. Fed with real-time wide-area measurements, one DT of measurable variables is employed for online DSA to identify potential security issues, and the other DT of controllable variables provides online decision support on preventive control strategies against those issues. A cost-effective algorithm is adopted in this proposed approach to optimize the trajectory of preventive control. The paper also proposes an importance sampling algorithm on database preparation for efficient DT training for power systems with high penetration of wind power and distributed generation. The performance of the approach is demonstrated on a 400-bus, 200-line operational model of western Danish power system.
机译：本文提出了一种基于决策树（DT）的系统方法，用于协同在线电力系统动态安全评估（DSA）和预防控制。这种方法采用了一种新的方法，该方法每天通过电力系统仿真生成的数据库训练两个面向应变的DT。通过实时广域测量，在线DSA可以使用一个可测量变量的DT来识别潜在的安全问题，而另一个可控变量DT则可以针对这些问题的预防性控制策略提供在线决策支持。该方法采用了一种经济有效的算法来优化预防控制的轨迹。本文还提出了一种重要的数据库采样准备算法，用于对风电和分布式发电具有较高渗透率的电力系统进行有效的DT训练。该方法的性能在丹麦西部电力系统的400总线，200线运行模型中得到了证明。

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