{'fraction_non_alphanumeric': 0.019216555801921657, 'fraction_numerical': 0.0, 'mean_word_length': 5.669950738916256, '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}}
Grid reactive power optimization research under the background of source network load and storage

Interactive regulation of grid load and storage is one of the key functions to realize energy interconnection, which is a higher stage of power grid development and a new stage of intelligent power utilization. In this paper, a multi-time scale reactive power joint optimization model of active distribution network with “source-network-Ioad-storage” interaction in electricity market environment is established, and stochastic model predictive control is adopted to realize progressive control layer by layer. The prior optimal dispatching is based on the prior market electricity price and the output forecast of renewable distributed generation, and the running state of active/reactive controllable sources and contact switches is arranged, so as to maximize the benefits on the basis of ensuring reliability. Intra-day rolling optimization eliminates voltage over-limit according to short-term forecast information; Real-time feedback correction focuses on operation safety, and performs more precise regulation based on ultra-short-term prediction information to suppress voltage fluctuation. Finally, the analysis of an example shows that the proposed model and method can improve the economy and reliability of distribution network significantly.