Hydropower group scheduling method considering non-constant coupling constraints

Abstract

The invention relates to a hydropower group scheduling method considering non-constant coupling constraints. The method comprises the following steps that: 1) correlated random natural incoming water and electricity price variables of a cascade hydropower station group are sampled by using a Latin hypercube sampling method, so that a prediction information sample matrix is obtained; 2) settlement and reduction are performed on all sample scenes in the prediction information sample matrix by using a scene reduction method, so that a classic scene set is obtained; 3) coupling relationships of flows between upper-level and lower-level hydropower stations in the cascade hydropower station system are established by using Muskingum method; 4) the risk scheduling model of the cascade hydropower station group in flood season is established according to the classic scene set and the coupling relationships; and 5) a mixed integer linear programming method is used to solve the model to obtain a scheduling plan having risk preferences. Compared with the prior art, the method of the present invention has the advantages of high accuracy, high reliability, simplicity and linearity. According to the method, the randomness of incoming water and electricity prices is considered, and the risk preferences of power producers are considered.

Description

technical field [0001] The invention relates to a hydropower group dispatching method, in particular to a hydropower group dispatching method considering non-constant coupling constraints. Background technique [0002] In the cascade hydropower system, the discharge flow of the hydropower station evolves through the adjacent river channel to the lower hydropower station and becomes the inflow flow. This process is called the flow evolution process of the upper and lower hydropower stations. In the existing literature, the flow time-delay method is usually used to describe the flow evolution process on the river channel. That is to say, the evolution of the flow on the river channel between hydropower stations is similar to the propagation of water flow from the upper-level reservoir to the lower-level reservoir through a time-delay process. During the dry season, the amount of incoming water to the reservoir is small, the storage capacity changes steadily, and the flow velo...

AI Technical Summary

Problems solved by technology

However, the impact of the dual uncertainty of natural water and market electricity prices on cascade hydropower optimization decisions still needs further research

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