Taxonomy of PMU Data Based Catastrophic Indicators for Power System Stability Assessment

Though extensive work is reported on various catastrophic indicators for the assessment of power system stability, the comparative assessment has not received much attention by the researchers. With the advent of WAMS technology and near real-time tools available, these indicators can play an important role in operation and control of the system. The choice of the indicator(s) has to be based on the performance measures (accuracy, reliability, security, mis-detection, false-alarm, and correctness), which use a common platform for evaluation. This companion paper presents a critical review of the catastrophic indicators and computes the performance measures to assess the indicators, which is illustrated by an implementation architecture. The approach starts by generating a contingency dataset of a network, followed by obtaining the network measurements to the contingency dataset. These measurements are used as an input to the indicators for detecting stability/instability cases. The performance measures are computed to each indicator for their assessment. In addition to the above performance measures, robustness and sensitivity are obtained to each indicator. The IEEE 39 and IEEE 118 test networks are considered for comparing the performance measures. Additionally, 50-machine 145-bus system is used to demonstrate the applicability of indicators on practical systems. This work provides systematic taxonomy and insight into various indicators bringing out salient features on a comparative note to help decision makers to make suitable choice of indicator(s) for their system.