A High-Precision, All-Rectangle-Based Method Linearly Concave Hydropower Output in Long-Term Reservoir Operation
The nonlinearity and non-convexity of the hydropower output function (HOF) make it very challenging to search for the optimal solution to the hydropower scheduling problem, which, however, can be more easily solved with consistency by mathematical programming if the HOF can be properly linearized with high accuracy. In this paper, a detailed review of different linear concaving approximation methods to model the HOF is presented, and a high-precision, all-rectangle linear concaving approximation method is proposed. It avoids the drawback of existing rectangular grid linear approximation methods which introduce a large number of integer variables and reduce solution efficiency by avoiding the accurate expression of fitting error at the corner points. It is mathematically proved that the method based on this rectangular subdivision can converge to any concave function with arbitrary precision as the grid resolution increases. The approximated results of the output functions of the four cascaded hydropower plants in the Lancang River show that both the proposed method and the existing method can reduce the average fitting error from 2.16% of installed capacity to 1.49% compared to the high-efficiency method. Although the proposed method is slower in solving speed than the high-efficiency method, it is significantly better than the unstable existing method.
Authors
- Fu-Ju Hou (ORCID: https://orcid.org/0000-0001-8288-2542)
- Hao Zheng (ORCID: https://orcid.org/0000-0001-6786-7950)
- Cheng Chen (ORCID: https://orcid.org/0000-0003-0807-3397)
- Suzhen Feng (ORCID: https://orcid.org/0000-0002-9898-1032)
- Yongqiang Wang (ORCID: https://orcid.org/0000-0001-9565-4944)
- Yan Huang (ORCID: https://orcid.org/0000-0002-1089-8665)
- Jinwen Wang (ORCID: https://orcid.org/0000-0002-1122-657X)
- Yong Ping Xu (ORCID: https://orcid.org/0000-0003-3941-190X)
Institutions
- Kunming University of Science and Technology (CN)
- Qingdao University of Science and Technology (CN)
- China Three Gorges University (CN)
- Changjiang Water Resources Commission (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Energies
- Published
- 2025-09-25
- DOI
- https://doi.org/10.3390/en18195102
- Primary Topic
- Water resources management and optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00