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梯级枢纽生态调度是当前国内外河流生态恢复与重建研究中的热点问题。本文基于逐月频率计算法并结合长江流域相关生态要素,制定了宜昌站适宜生态流量,作为生态效益评价标准;然后针对长江中下游主要生态问题和三峡梯级枢纽具体工程实际,结合生态效益评价标准构建了梯级枢纽生态友好型多目标发电优化调度模型。为有效求解多目标优化问题,提出一种包含外部种群的双种群多目标差分进化算法,并设计了精英选择和混沌迁移机制实现两个种群间的信息交换,提高了算法的多目标优化性能。三峡梯级枢纽实例应用研究表明,本文算法能在较短计算时间内获得多个符合生态效益评价标准、分布均匀、收敛性较好的非劣调度方案,为制定合理的调度方案提供了科学的决策依据。
Ecological scheduling of cascade hubs is a hot issue in the research of ecological restoration and reconstruction of rivers at home and abroad. Based on the monthly frequency calculation method and the related ecological factors in the Yangtze River Basin, this paper developed the suitable ecological flow of Yichang Station as the evaluation standard of ecological benefit. Then according to the main ecological problems in the middle and lower reaches of the Yangtze River and the actual engineering of the Three Gorges cascade, combined with the ecological benefit evaluation criteria Build a cascade hub eco-friendly multi-objective power generation optimal scheduling model. In order to effectively solve the multi-objective optimization problem, a two-species multi-objective differential evolution algorithm with external population is proposed. The elitist selection and chaos migration mechanism are designed to exchange information between two populations and improve the multi-objective optimization performance of the algorithm. The case study of the Three Gorges cascade hub shows that the proposed algorithm can obtain a number of non-inferior scheduling solutions that accord with the evaluation criteria of ecological benefits, with good distribution and convergence in a short time, and provide scientific decision-making for the formulation of reasonable scheduling schemes in accordance with.