Analyzing the Static Security Functions of a Power System Dynamic Security Assessment Toolbox

作者：Arava V S Narasimham; Vanfretti Luigi^*

来源：International Journal of Electrical Power & Energy Systems, 2018, 101: 323-330.

DOI：10.1016/j.ijepes.2018.03.033

• Power system security assessment
• Overload
• Under/over voltage
• Severity index and impact assessment
• Decision tree

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.

• 出版日期2018-10