{'fraction_non_alphanumeric': 0.012584704743465635, 'fraction_numerical': 0.0, 'mean_word_length': 5.191616766467066, '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}}
Heuristic detection of one type of erroneous dynamic models in power system stability simulations

In power system stability simulations with commercial software programs, given the large number and diversity of dynamic models, the presence of erroneous models is inevitable. The paper proposes a heuristic approach to the detection of erroneous vendor-specific models that can write to the memory allocated to other models. The idea is that specially designed contingency scenarios are evaluated for the original power system dynamic setup and then for its modifications intended to change the memory allocation. If the results noticeably differ, while they should not, a suspicious model is disabled and the simulations are repeated to assess and clarify its role. The approach is illustrated by a case study with a large power system database. As a system model verification exercise, the approach is recommended for the early stages of a planning study, before its dynamic setup starts to be used in actual stability simulations.