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A Daily Power Generation Optimized Operation Method of Hydropower Stations with the Navigation Demands Considered

Author(s): Tianlong Jia; Jianzhong Zhou; Xiaoshen Liu

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Abstract: Under the influence of hydraulic uncertainty, the various operational safety risks exist in the shortterm hydropower generation scheduling and navigation inevitably. Therefore, it is very crucial to establish a daily power generation optimized method of hydropower stations with the navigation demands considered. The daily power generation optimized operation method was established for generation scheduling and navigation problems of Xiangjiaba hydropower station during the dry seasons. Taking the mutual feedback relationship between the Hydraulic coupling of power generation and navigation as the pointcuts, an improved genetic algorithm was put forward with maximizing daily power generation. A two-dimensional flow model was carried out to validate constraints since the complex flow field was located at the entrance area of the approach channel. With the help of the software MIKE21 FM, the flow field data, such as the water surface lines, flow velocity and direction, was obtained by the numerical simulation. The results showed that the daily power generation optimization and numerical simulation methods could achieve the maximized daily capacity of hydropower station under the premise that ensuring the safety of navigation.

DOI: https://doi.org/10.1051/matecconf/201824601065

Year: 2018

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