Multi-objective optimization of cascade hydro plants in dry season

摘要

The operation of cascade hydropower stations in dry season is an important problem. In dry season, there are two primary objectives: maximize cascade minimum output and maximize total power generation. Minimum output reflects the stability, security and reliability of hydropower. Power generation reflects the benefits and capacity. If the designed minimum output is too small, the water level will keep at a high value. The hydraulic head benefits can be brought into full play in the early period, while it may lead to water spillage in the previous month before flood season because of the concentrated water level retrogression. This paper establishes a multi-objective optimization model and proposes a parallel multi-objective differential evolution algorithm for cascade hydro plants in Jinsha River. According to the results, the paper analyzes joint water level retrogression strategy and proposes a series of schemes for the reasonable operation of hydro plants in dry season.