Cascade reservoir optimization scheduling method and system based on quantum particle swarm algorithm

Abstract

The invention discloses a method and a system for optimally dispatching cascade reservoirs on the basis of quantum-behaved particle swarm algorithms. The method includes acquiring initialized population according to established objective functions for solving problems for optimally dispatching the cascade reservoirs and utilizing the initialized population as parent-generation particles; constructing small-world networks to obtain adjacent matrixes; updating the parent-generation particles according to the adjacent matrixes and generating child-generation particles; computing the fitness of the child-generation particles according to fitness functions; comparing the fitness of the parent-generation particles to the fitness of the child-generation particles by the aid of competition operators, selecting the child-generation particles with the good fitness and utilizing the selected child-generation particles as parent-generation particles for next iteration; judging whether current iteration numbers are larger than the maximum thresholds or not; carrying out computation if the current iteration numbers are larger than the maximum thresholds and outputting cascade reservoir optimal dispatching computation results. The method and the system have the advantages that the quantum-behaved particle swarm algorithms are improved by small-world network models, so that the population diversity can be kept by improved algorithms, the shortcoming of easiness in trapping in local optimization of basic quantum-behaved particle swarm algorithms can be overcome, and effects of optimally dispatching the cascade reservoirs can be improved.

Description

technical field [0001] The invention relates to the technical field of optimal dispatching of cascade reservoirs, and more specifically relates to a method and system for optimal dispatching of cascade reservoirs based on quantum particle swarm algorithm. Background technique [0002] Our country is very rich in water resources. According to the characteristics of water resources in various places, the country has successively established many cascade hydropower stations to make full use of water resources. With the increasing development of the cascade development of the watershed, the research on the optimal operation of the cascade reservoir group has attracted more and more attention from Yu Laiyu, and its optimal solution has become a research topic with practical value. The optimal operation of cascade reservoirs is a complex planning problem with strong constraints, nonlinearity and multivariate variables. It is necessary to consider the hydraulic and electrical conn...

AI Technical Summary

Problems solved by technology

At present, the traditional methods of cascade reservoir optimization and scheduling mainly include: linear programming, nonlinear programming, and dynamic programming, etc. These traditional methods mainly have problems such as unstable result convergence, complicated calculation, and unavoidable "curse of dimensionality"

Images