Power station electricity generation benefit optimization method

Abstract

The invention discloses a power station electricity generation benefit optimization method comprising the following steps: in a step of time period-based optimization, individual genes of a genetic algorithm is divided into three segments according to time periods: a pre-flood period, a flood period and a post-flood period; in a second step of time period coupling operation, an pre-dam water levelin a previous day is read in and noted as an initial reservoir water level in a first segment, an upper limit for a water level range for flood prevention and control is noted as an upper reservoir water level for a time period end, and a pre-dam average water level is noted as a lower reservoir water; in the second and third segments, an upper limit of the water level range for flood preventionand control is noted as a preliminary upper reservoir water level, a lower reservoir average water level is noted as a preliminary lower reservoir water level, and an actual reservoir water level is noted as a reservoir water level for the time period end; artificial intelligence water level guiding and time period dividing are correspondingly divided into a pre-flood drawdown module, a flood season small flood retaining module and a post-flood water storage module. Via the method disclosed in the invention, problems of low convergence speed, poor local optimization capability and the like ina genetic algorithm; in terms of convergence speed and effects; the method disclosed in the invention is markedly better than an evaluation model based on a conventional genetic algorithm, and a goodmethod is provided for optimized dispatching benefit evaluation for multiple objects of a cascade power station.

Description

technical field [0001] The invention belongs to the technical field of dispatching of cascade power stations, and relates to a method for optimizing power generation benefits of a power station. Background technique [0002] For the post-evaluation of cascade power generation benefits, relevant scholars proposed a set of evaluation and analysis methods for cascade power station power generation benefits based on "theoretical maximum power generation benefits", established a long-term daily optimal dispatching model based on heuristic genetic algorithms, and constructed a general post-evaluation model sex frame. Through fine simulation, the model overcomes the problem of how to select the value of the empirical parameters that has plagued people for a long time, and has high simulation accuracy; the model can solve the problem for up to one year, with a step size of one day, and the dispatching unit is specific to each unit. Cascade power station optimization dispatching pro...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the defects of slow convergence speed and weak local optimization ability of the genetic algorithm when using the cascade optimization scheduling method based on the genetic algorithm to calculate the assessment

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