Name
Title | ||
|---|---|---|
Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the Three Gorges system |
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 6.79¿GWh using an optimal decision with the same amount of water actually used; while the same amount of power could be generated with 2.59¿í¿¿107¿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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.envsoft.2014.11.030 | Environmental Modelling & Software |
Keywords | Field | DocType |
Hierarchical optimization,Heterogeneous hydropower units,Multi-reservoirs,Heuristic algorithms,The Three Gorges Project | Hydropower,Optimal decision,Evolutionary algorithm,Hydrology,Computer science,Popularity,Curse of dimensionality,Cascade | Journal |
Volume | Issue | ISSN |
69 | C | 1364-8152 |
Citations | PageRank | References |
1 | 0.37 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fang-Fang Li | 1 | 1 | 0.37 |
| Christine A. Shoemaker | 2 | 566 | 52.84 |
| Jun Qiu | 3 | 2 | 1.40 |
| Jia-Hua Wei | 4 | 1 | 0.37 |