Article ID: | iaor20023675 |
Country: | United States |
Volume: | 127 |
Issue: | 1 |
Start Page Number: | 48 |
End Page Number: | 57 |
Publication Date: | Jan 2001 |
Journal: | Journal of Water Resources Planning and Management ASCE |
Authors: | Seifi Abbas, Hipel K.W. |
Keywords: | programming: linear |
A new method is proposed for long-term reservoir operation planning with stochastic inflows. In particular, the problem is formulated as a two-stage stochastic linear program with simple recourse. The stochastic inflows are approximated by multiple inflow scenarios, leading to a very large deterministic model which is hard to solve using conventional optimization methods. This paper presents an efficient interior-point optimization algorithm for solving the resulting deterministic problem. It is also shown how exploiting the problem structure enhances the performance of the algorithm. Application to regulation of the Great Lakes system shows that the proposed approach can handle the stochasticity of the inflows as well as the nonlinearity of the operating conditions in a real-world reservoir system.