Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6859939 | International Journal of Electrical Power & Energy Systems | 2015 | 9 Pages |
Abstract
This study presents a new method for deriving an operational model (rules) for the carryover storage reservoir water level at the end of year (WLE), which considered all of the operational information using an optimal model. To identify carryover storage reservoir WLE operation rules for a cascade reservoir system, the best approach is to exploit large databases using a data mining tool such as decision trees. Thus, we applied decision trees based on the iterative dichotomizer 3 (ID3) to the Wu Jiang cascade reservoir system to derive the carryover storage reservoir WLE operation rules. The rules derived can be used to guide optimal real-time operation in the long term. The results demonstrated that the solution derived using tree-based rules performed better than the existing design rules in terms of the power generation benefit, which satisfied the output of the cascade reservoir system.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhongbo Zhang, Shuanghu Zhang, Simin Geng, Yunzhong Jiang, Hui Li, Dawei Zhang,