Long-Term Hydropower Optimal Operation Model for Peak Load Regulating of Typical Days

A long-term optimal operation model for peak load regulating of typical days by hydropower systems is proposed. A successive load shaving algorithm is used for daily power scheduling of hydropower plants. The long-term operation and typical daily loads scheduling is integrated into one model by taking the minimization of the maximum residual load of typical days as objective. Aggregated function is used to objective transformation, and the model is solved by a successive searching algorithm. Case study shows that the proposed model can describe the long-term peak load regulating demands and yield better results than the models in which only the average power load are considered. The long-term operation plan and power schedule of typical days can be obtained synchronously. The proposed model is applicable for long-term hydropower operation in hydrothermal scheduling environment.