Optimal scheduling method for hydropower station groups in super-large river basins based on hybrid intelligent dimensionality reduction algorithm

Abstract

The invention discloses a hybrid intelligent algorithm-based optimal scheduling method for hydropower station groups in super-large watersheds. The hydropower stations participating in the calculation are selected and corresponding constraint conditions are set, individuals are encoded by an individual serial coding method, and initial populations are generated; the fitness value of each individual is evaluated. , after updating the individual extremum and the global extremum, the mutation operation is performed on the individual extremum, and then the positions of all individuals in the population are updated, and then a mixed search strategy is performed on the individuals in the external archive set to increase the diversity of individuals; finally, the above process is repeated until satisfying Termination condition. The invention has superior optimization performance, strong robustness, fast convergence speed, easy programming and realization, and avoids the curse of dimensionality problem of traditional dispatching algorithms. The application examples in the Wujiang River Basin show that the method of the invention effectively improves the individual convergence speed and the global search ability of the population, can quickly obtain a reasonable and effective hydropower station group dispatching operation mode, and improves the overall dispatching efficiency of the hydropower station group dispatching in the super large river basin.

Description

technical field [0001] The invention belongs to the field of efficient utilization of water resources and optimal dispatching of hydropower station groups, and more specifically relates to a method for optimal dispatching of hydropower station groups in super-large river basins based on a hybrid intelligent dimensionality reduction algorithm. Background technique [0002] In recent years, my country's hydropower industry has developed rapidly, and more and more hydropower stations have been continuously developed and utilized. Especially after the hydropower bases in the southwestern regions such as the Wujiang River and the Hongshui River have been put into operation, my country has formed an unprecedented large-scale hydropower station in the world. system. With the gradual expansion of the scale of the system, "how to scientifically and rationally dispatch hydropower station groups in super-large river basins to achieve efficient utilization of water energy resources and m...

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Problems solved by technology

[0015] Aiming at the above defects or improvement needs of the prior art, the present invention provides an optimal scheduling method for super-large watershed hydropower station groups based on a hybrid intelligent dimensionality reduction algorithm, thereby solving the problem of solving complex super-large watershed hydropower station group scheduling problems, the standard QPSO is still There are problems such as insufficient individual diversity, easy premature convergence, and falling into local optimum.

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