{'fraction_non_alphanumeric': 0.017543859649122806, 'fraction_numerical': 0.0023391812865497076, 'mean_word_length': 5.534351145038168, '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}}
Optimal DG placement and sizing with PSO&HBMO algorithms in radial distribution networks

Optimal placement and sizing of DG in distribution network is an optimization problem with continuous and discrete variables. Many researchers have used evolutionary methods for finding the optimal DG placement and sizing. This paper proposes a hybrid algorithm PSO&HBMO for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total power loss and improve the voltage profile. The proposed hybrid algorithm PSO&HBMO is used to determine optimal sizes and locations of multi-DGs. Test results indicate that PSO&HBMO method can obtain better results than the simple heuristic search method on the 13-bus radial distribution systems. Moreover, voltage profile improvement and branch current reduction are obtained.