{'fraction_non_alphanumeric': 0.014511873350923483, 'fraction_numerical': 0.002638522427440633, 'mean_word_length': 5.8954545454545455, '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 expert system for distribution system reconfiguration through fuzzy logic and flower pollination algorithm

Distribution system optimization is one of the essential undertaking should be tended to for productive power system operation. A large number of the advancement methodologies were completed at distribution level, for example, ideal reconfiguration, ideal situation of capacitors and Distributed Generators, and additionally the blend of all. This research work proposes distribution system reconfiguration algorithm as it sidestep the utilization of outer types of equipments for Radial Distribution System (RDS) performance enhancement. This paper addresses optimal reconfiguration of distribution system by hybrid Fuzzy-Flower Pollination Algorithm (FFPA). This strategy takes the advantage of FPA and fuzzy for execution improvement. FPA handles the compelling optimization process. The combination of heuristic fuzzy guarantees the synchronous treatment of constraints alongside the primary goal of the optimization issue. The main objective of this work is to actualize an algorithm for the use of distribution system reconfiguration under normal and abnormal working condition. The adequacy of the calculation is approved through actualizing into IEEE 33 bus RDS and 83 bus Taiwan Power Distribution Company (TPDC) system under typical working conditions. Further, the proposed algorithm is actualized to distribution system workstation which is a scale down prototype of power distribution system.