Hydropower station group terminal energy storage maximum short-term optimized dispatching method

Abstract

The invention discloses a hydropower station group terminal energy storage maximum short-term optimized dispatching method, and belongs to the field of hydropower dispatching. First, restraint of uniformity of gross capability and total load requirements of each time interval in an original model is replaced by restraint that the maximum difference value of the gross capability and the total load requirements of each time interval is zero; and then the simplified maximum difference value is converted to be in an easily-processed form through a coherency function method. On the basis, an antithesis optimized model is established through a Lagrangian relaxation method, and solving is carried out in a secondary gradient method. According to the method, a terminal energy storage maximum optimized dispatching problem of a Lagrangian multiplier vector with the existing scale of 96 is converted to a problem of only one Lagrangian multiplier, complexity of the problem is lowered, effective solving can be achieved through a combined method of the secondary gradient method and a successive approximation search algorithm, the method has strong practicability, and application is wide.

Description

technical field [0001] The invention belongs to the field of hydropower dispatching, and relates to a short-term optimal dispatching method for maximum energy storage at the end of a hydropower station group under complex constraint conditions. Background technique [0002] The short-term optimal dispatching of hydropower stations generally refers to the optimal dispatching problem within a period of 15 minutes in the next few days, which can be roughly divided into two categories. The first category is to adjust the spatio-temporal distribution of water volume according to the dispatching target within the dispatching period given the end water level of each reservoir. , this type of model focuses on improving the efficiency of water energy utilization under the premise of satisfying the medium and long-term control methods of each power station. Determining the load demand of the hydropower system at each time period and distributing the output among the hydropower station...

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Problems solved by technology

[0003] The solution of the maximum energy storage model is limited by the load demand constraints, which is difficult

The current popular Lagrangian relaxation algorithm has low solution efficiency. On the one hand, because the short-term scheduling includes 96

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