the incessant enhancement of expansion of hydropower size and its meticulous management is posing huge challenges to hydropower system dispatching optimization. Hence
based on the data mining technology
an optimization method of instruction dispatching is designed to ensure computational efficiency and the validity of results. In the method
some key indexes are first selected from the massive operation data of the hydropower system
and fuzzy clustering is used to build the decision-making database. Then
the large system decomposition coordination model and progressive optimization algorithm are employed to search for the optimal decision. The proposed method is applied to the cascaded hydropower station group located on the Lancang River. The results show that with the method the feasible output curve for all the plants can be obtained expeditiously.