Research and Application of Characteristic Curve Correction Method for Cascade Hydropower Stations Considering Runoff Inconsistency

Hao Du, Zheng Zhang, Zhiqiang Jiang (), Chao Wang, Bin Qiu and Yichao Xu
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Hao Du: Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang 443000, China
Zheng Zhang: Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang 443000, China
Zhiqiang Jiang: Hubei Key Laboratory of Intelligent Yangtze and Hydroelectric Science, China Yangtze Power Co., Ltd., Yichang 443000, China
Chao Wang: China Institute of Water Resources and Hydropower Research, Beijing 100044, China
Bin Qiu: Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Yichao Xu: Hubei Key Laboratory of Digital River Basin Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2024, vol. 17, issue 23, 1-20

Abstract: The situation wherein a hydrological series does satisfy the assumption of “independent and identically distributed” is called runoff inconsistency. “Flow Inversion Phenomenon” is also a kind of runoff inconsistency in space that reflects errors in the hydrological modeling process and can provide a basis for curve correction. In this paper, the causes of the flow inversion phenomenon are analyzed, and a characteristic curve correction method for hydropower stations based on runoff inconsistency is proposed. “Interval Fallacy Rate” is proposed to quantify the flow inversion phenomenon, and with the goal of minimizing the interval fallacy rate, several characteristic curve correction methods, such as single-point discrete optimization, multi-point discrete optimization, overall translation optimization and partial translation optimization, are constructed to correct the turbine characteristic curve, discharge curve, and capacity curve of a hydropower station. In the case study, we take a six-reservoir cascade reservoir system in China as an example. After curve correction, the interval fallacy rate of each interval is reduced to varying degrees. This study provides a new idea for the correction of hydropower stations’ characteristic curves in basins lacking measured flow data.

Keywords: flow inversion; NHQ curve; discharge curve; capacity curve; curve correction; interval flow fallacy rate (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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