{'fraction_non_alphanumeric': 0.015151515151515152, 'fraction_numerical': 0.0, 'mean_word_length': 5.379310344827586, '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}}
Introducing a new voltage time series approach for electrical power grid analysis

Today's power systems are changing rapidly in their functionality and dynamics. Advanced system state acquisition methods are required for a more sophisticated power grid control. Several challenges arise from this topic, and must be tackled in a highly interdisciplinary research area. At KIT we have constituted such an interdisciplinary team at SimLab Energy, which investigates new power grid analysis from a simulation-oriented perspective. Using the new concept we evaluate distributed voltage time series instead of recording phasor information only. In this article we describe the methods used for our approach. Combining new voltage scope units, new data mining methods, and large-scale database concepts with smart meter active power data we introduce a first step towards a more comprehensive energy grid system status framework.