{'fraction_non_alphanumeric': 0.016967126193001062, 'fraction_numerical': 0.0, 'mean_word_length': 5.840579710144928, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Electric vehicles utilization for peak demand control in modern distribution networks

Development of Electric Vehicles (EV) makes a huge step forward to complete transition from conventional fossil fuel driven vehicles to modern, renewable energy based vehicles. Integration of large capacity charging stations (CS), specially developed for plug-in electric vehicles, into smart grid concept of distribution system is analyzed in this paper. Electric vehicles are considered not only as controllable loads but also as significant resource for peak demand control. In that manner proposed optimization framework is developed and implemented using genetic algorithm. Proposed optimization procedure is tested on different case studies. Simulation results, together with proposed optimization framework and derived conclusions could serve as basis of different short-term planning studies or even for development of real time control algorithms.