{'fraction_non_alphanumeric': 0.01895306859205776, 'fraction_numerical': 0.0018050541516245488, 'mean_word_length': 5.230337078651686, '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}}
Expansion planning of offshore oilfield power systems based on minimum cost flow and global TABU search algorithm

The current expansion planning model of offshore oilﬁeld power systems considering the outage cost is a mixed-integer nonlinear programming (MINLP) problem of the high-dimensional solution space, which is difﬁcult to solve by conventional mathematical methods. In this paper, a decision variables dimension reduction method based on minimum cost flow is proposed to reduce the dimension of decision variables, which can improve the computational efficiency greatly. Besides, the global tabu search algorithm (GTSA) is developed to solve the MINLP problem. But it is difficult for the GTSA to find the global optimal scheme due to the high coupling between the unit commitment and the grid. To solve this problem, a novel unit-grid coordinated search strategy is proposed. In order to illustrate the performance of the proposed methods, a 30-node system adapted from the Bohai Sea offshore oilfield power system is employed. Numerical results illustrate the performance of the proposed methods.