{'fraction_non_alphanumeric': 0.03417721518987342, 'fraction_numerical': 0.006329113924050633, 'mean_word_length': 4.902985074626866, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An Enhancement in Sum-of-Squares Optimization based Region of Attraction Estimation for Power Systems

To measure transient stability of power systems, estimation of its region of attraction (RoA) is one of the common approaches used in practice. Among the class of available methods of RoA estimation, Sum-of-Squares (SoS) optimization based method has been introduced recently, and is promising due to its ability to compute an estimate of the RoA in a less restrictive and scalable way. In this paper, we propose an enhanced version of SoS optimization based RoA estimation. Our result shows that the proposed algorithm can significantly improve the size of the estimated RoA (more than 300%), and reduce the overall computation time (more than 60%), as compared to the state-of-the-art.