A Trainsient Voltage Stability Evaluation Model Based on Morphological Similarity Distance Online Calculation

摘要

Based on morphological similarity distance, a transient voltage stability evaluation method is proposed, which is to solve the problem of transient voltage stability of the power grid. According to the real-time measurement data of PUM, this method extracts a given time series of electric parameters, takes the morphological similarity distance as the time sequence feature. Finally, use the decision tree algorithm for training, and obtain a binary decision tree with good classification performance. The IEEE39 calculation example shows that the method has a strong classification effect, which can guide the on-line monitoring and evaluation of voltage and explore the regulations of voltage instability.