Extra-large basin hydropower station group optimal scheduling method based on hybrid intelligent dimensionality reduction algorithm

Abstract

The invention discloses an extra-large basin hydropower station group optimal scheduling method based on a hybrid intelligent algorithm. Hydropower stations involved in calculation are selected and corresponding constraint conditions are set, an individual serial coding method is adopted to code individuals, and an initial population is generated; the fitness value of each individual is evaluated,an individual extremum is subjected to mutation operation after the individual extremum and a global extremum are updated, the positions of all individuals in the population are then updated, and a hybrid search strategy is then carried out on an individual in an external file set to improve the individual diversity; and finally, the above process is repeated until a terminating condition is met.The optimization performance is excellent, the robustness is strong, the convergence speed is fast, programming for realization is easy, and the problem of curse of dimensionality of the traditionalscheduling algorithm is avoided. Examples of Wujiang basin application show that the method of the invention can effectively improve the individual convergence speed and the population global search ability, a reasonable and effective hydropower station group scheduling operation mode can be acquired quickly, and the overall scheduling benefits of the extra-large basin hydropower station group scheduling are improved.

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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