Power generation post-evaluation system and method for cascade power station

Abstract

The invention relates to a power generation post-evaluation system and method for a cascade power station. The system comprises an information acquisition subsystem for acquiring data, a post-evaluation subsystem for receiving the data and performing post-evaluation analysis, and a man-machine interaction subsystem for displaying, outputting and feeding back post-evaluation conclusions. According to the invention, the maximum theoretic generating capacity is computed through a genetic algorithm based on water level guiding, and the computation accuracy, convergence and convergence rate of an optimization scheme model are improved. The method adopts the genetic algorithm based on water level guiding to optimally compute the maximum annual theoretic generating capacity of the cascade power station, thus changing the present situation of computing and checking electrical quantity only according to a scheduling graph in post-evaluation work of the traditional cascade power station, and simultaneously remedying the defects of low convergence rate and insufficient partial optimization capacity in the work of computing the maximum theoretic generating capacity through a large genetic algorithm in the prior art.

Description

technical field [0001] The invention relates to the technical field of post-dispatch evaluation of cascade power stations, in particular to a post-power generation evaluation system and method for cascade power stations. Background technique [0002] The calculation of power station assessment power is the basis of subsequent evaluation work. The traditional method is to dispatch the actual runoff series according to the dispatching chart and dispatching regulations, calculate the design power, and deduct the power lost in peak regulation and maintenance. Then it is the assessment power. Based on this, other assessment indicators are calculated. This method has the disadvantages of mostly using empirical formulas, large deviations between dispatching diagrams and actual conditions, limited ability to deal with multi-objective problems, and for power stations with large regulation capabilities, the calculated assessment power value is often smaller than the actual power gener...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is to overcome the shortcomings of the existing cascade power station power generation benefit post-evaluation calculation, the optimization algorithm decision variable gene number is large and complex, and the defect of large variation space, to provide a new cascade power station power generation benefit post-evaluation system and method

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