{'fraction_non_alphanumeric': 0.01813110181311018, 'fraction_numerical': 0.002789400278940028, 'mean_word_length': 5.353982300884955, '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 adaptive restorative method for resilient power distribution networks

In this paper, we propose a restorative method to minimize the unserved demand in a power distribution network due to line outage. The restoration is achieved by tie-line switching and by solving a mixed-integer non-linear problem. By exploiting the information on pre-contingency solution, topology together with post-contingency line congestion requirements and in combination with an improved greedy search algorithm, a method is proposed which reduces the search space of the combinatorial problem. Case studies on IEEE 33-bus distribution network is presented to illustrate the results and validate the performance of the proposed method.