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首页> 外文期刊>International journal of electrical power and energy systems >Analyzing the Static Security Functions of a Power System Dynamic Security Assessment Toolbox
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Analyzing the Static Security Functions of a Power System Dynamic Security Assessment Toolbox

机译:分析电力系统动态安全评估工具箱的静态安全功能

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This paper presents the results from the iTesla offline workflow for a given set of contingencies applied to Nordic 44 power system model and are verified against the results from a similar workflow implemented separately using Python/Matlab that uses PSS/E analysis function. 21 (20 'N-1' and 1 'N-2') contingencies were created on the Nordic 44 power system model and was executed on 2928 snapshots (April to July 2015). This verification is only performed for the (static) steady state stability assessment results of the offline workflow. The generated decision trees (DTs) by the iTesla platform were verified for different network operating conditions. It was observed that the generated DT's are consistent for the given set of operating conditions. It would be beneficial to check how the rules generated from DT's with four months of data (April to July 2015) vary from the rules generated with one year of data (2015). The verification approach adopted provides a useful means to test and verify dynamic security assessment (DSA) tools' with an independent implementation of some of the tools' functions, this can be of value to other DSA tool developers.
机译:本文介绍了适用于Nordic 44电力系统模型的一组给定突发事件的iTesla脱机工作流程的结果,并针对使用使用PSS / E分析功能的Python / Matlab单独实施的类似工作流程的结果进行了验证。在Nordic 44电力系统模型上创建了21个(20个“ N-1”和1个“ N-2”)意外事件,并在2928个快照上执行(2015年4月至2015年7月)。仅针对脱机工作流程的(静态)稳态稳定性评估结果执行此验证。针对不同的网络运行条件,验证了iTesla平台生成的决策树(DT)。观察到,对于给定的一组操作条件,所生成的DT是一致的。检查从具有四个月数据(从2015年4月到2015年7月)的DT生成的规则与从一年数据(2015年)到生成的规则有何不同将是有益的。所采用的验证方法提供了一种有用的手段来测试和验证动态安全评估(DSA)工具,这些工具具有一些工具功能的独立实现,这对其他DSA工具开发人员可能具有价值。

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