{'fraction_non_alphanumeric': 0.013683010262257697, 'fraction_numerical': 0.0, 'mean_word_length': 5.408759124087592, '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}}
Smart grid concepts applied to self-healing in distribution system

In contingency situation, the ability to self-healing plays an important role on reducing the time to restore the energy supply. The increasing use of remote controlled equipment in power systems leads the development of more efficient techniques for automatic restoration of power supply, being particularly important in Smart Grid applications. This paper presents a methodology and system for automatic restoration of power supply in distribution network. The optimization of the network performance is based on a heuristic method and multicriterial analysis. The developed algorithms are integrated into a supervisory system, which allows real-time measurements and commands to the equipment. The proposed methodology is tested in a real network of a power utility and results are presented and discussed.