Multicore Parallel Dynamic Programming Algorithm for Short-Term Hydro-Unit Load Dispatching of Huge Hydropower Stations Serving Multiple Power Grids

Shengli Liao (), Jie Liu (), Benxi Liu (), Chuntian Cheng (), Lingan Zhou () and Huijun Wu ()
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Shengli Liao: Dalian University of Technology
Jie Liu: North China Municipal Engineering Design & Research Institute co., LTD
Benxi Liu: Dalian University of Technology
Chuntian Cheng: Dalian University of Technology
Lingan Zhou: Dalian University of Technology
Huijun Wu: Electric Power Dispatching and Control Center, China Southern Power Grid

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2020, vol. 34, issue 1, No 22, 359-376

Abstract: Abstract Short-term hydro-unit load dispatching (SHULD) refers to the determination of the power output of each unit within a hydropower station over a planning horizon to minimize the operational cost or maximize the power-generation profit while satisfying hydraulic and electrical constraints. In China, huge hydropower stations, such as the Three Gorges (TG) and Xiluodu (XLD) stations, are composed of a large number of hydro units, which feature a high installed capacity and a high water head. SHULD models of these stations are more complex and difficult to solve compared with those of traditional stations, especially when the stations serve multiple power grids. This study develops a practical method for optimizing SHULD models by considering the XLD hydropower station as a case study. First, a SHULD model for huge hydropower stations with multiple vibration zones and multiple receiving power grids is presented. Second, classical and sophisticated dynamic programming (DP) is applied to the SHULD model, and a practical strategy is proposed to balance the available water in a reservoir’s left and right banks to satisfy their load demands. Finally, the Fork/Join framework is used to parallelize DP to reduce the computation time and fully utilize the computer resources. The wet and dry season results demonstrate that the approach is efficient and suitable for huge hydropower stations with a high water head and multiple receiving power grids, thereby demonstrating its potential practicability and validity for solving the SHULD problem.

Keywords: Short-term hydro-unit load distribution; Multicore parallel dynamic programming; Xiluodu hydropower station; Multiple power grids; Fork/join framework (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11269-019-02455-w

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