Refined Scheduling Based on Dynamic Capacity Model for Short-term Hydropower Generation

Rongqi Zhang, Shanghong Zhang (), Xiaoxiong Wen and Zhu Jing
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Rongqi Zhang: North China Electric Power University
Shanghong Zhang: North China Electric Power University
Xiaoxiong Wen: North China Electric Power University
Zhu Jing: Changjiang Design Group Co., Ltd.

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 1, No 2, 35 pages

Abstract: Abstract Existing studies on reservoir hydropower generation scheduling mostly use the static reservoir capacity method, which introduces large errors in scheduling calculations for river-type reservoirs. As a typical river-type reservoir, the Three Gorges Reservoir in China uses the dynamic reservoir capacity method for improved scheduling of the hydropower generation scheduling process. This study investigated the short-term power generation scheduling of the Three Gorges Reservoir, and established a dynamic capacity short-term hydropower generation scheduling model based on a one-dimensional unsteady flow model. Considering the measured actual water level before the dam and the inflow process, model simulation schemes were established according to the dispatching regulations, and 94,479 scheduling schemes were generated. Different schemes were simulated using the dynamic capacity hydropower scheduling model (DCHSM) to derive the maximum power generation scheme. Then, this scheme was compared with the optimal scheme of the static capacity hydropower scheduling model. Results revealed that use of the optimal scheme of the static capacity hydropower scheduling model could generate power output of 1.765 billion kWh, while the maximum power output of the DCHSM scheme was calculated at 1.792 billion kWh. In comparison with the actual power of 1.777 billion kWh, use of the DCHSM could increase power output by approximately 0.90%. The calculated power output process has reasonable agreement with the actual scheduling process and, contributes to refinement of reservoir scheduling. The findings of this study could provide technical support for refined short-term scheduling of river-type reservoirs.

Keywords: River-type reservoirs; Three gorges reservoir; Dynamic capacity; Generation scheduling; Short-term refined scheduling (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11269-022-03352-5

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