Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6963194 | Environmental Modelling & Software | 2015 | 11 Pages |
Abstract
High dimensionality in real-world multi-reservoir systems greatly hinders the application and popularity of evolutionary algorithms, especially for systems with heterogeneous units. An efficient hierarchical optimization framework is presented for search space reduction, determining the best water distributions, not only between cascade reservoirs, but also among different types of hydropower units. The framework is applied to the Three Gorges Project (TGP) system and the results demonstrate that the difficulties of multi-reservoir optimization caused by high dimensionality can be effectively solved by the proposed hierarchical method. For the day studied, power output could be increased by 6.79Â GWh using an optimal decision with the same amount of water actually used; while the same amount of power could be generated with 2.59Â ÃÂ 107Â m3 less water compared to the historical policy. The methodology proposed is general in that it can be used for other reservoir systems and other types of heterogeneous unit generators.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Fang-Fang Li, Christine A. Shoemaker, Jun Qiu, Jia-Hua Wei,