Full-cycle high-efficiency and high-precision optimal scheduling method and system for hydropower system

Abstract

The invention provides a full-cycle efficient high-precision optimal scheduling method and system for a hydropower system, and the method comprises the steps: setting related parameters, enabling thereservoir capacity value of each power station to serve as a decision variable, carrying out the coding, randomly generating an initial population in a search space, and enabling the initial population to serve as a current population; obtaining the fitness of all individuals in the current population, and updating the historical optimal positions of all individuals and the global optimal positionof the population; selecting the first K individuals with better fitness to establish an external file set, and updating population individual positions by using an improved teaching and learning algorithm; updating all individual positions in the population through iterative computation until the maximum number of iterations of the population is reached; and outputting the global optimal position of the current population as the final scheduling process of the cascade hydropower station. According to the method, a conventional teaching and learning optimization algorithm is improved, so thatthe defect that the conventional teaching and learning optimization algorithm is easy to fall into local optimum when solving a high-dimensional problem is effectively avoided, and the global searchcapability is enhanced.

Description

technical field [0001] The invention belongs to the field of optimal scheduling of cascade reservoir groups, and more specifically relates to a full-cycle efficient and high-precision optimal scheduling method and system for a hydropower system. Background technique [0002] In order to standardize the operation rules of the domestic electricity market and establish a fair, open, transparent and competitive market system, the operation mechanism of "separation of plants and grids, bidding for grid access" has been fully implemented, and power generation companies have gradually played an increasingly important role in the electricity market . However, the optimal dispatching of cascade reservoirs is large in scale and complex in structure, with the characteristics of nonlinearity, multi-period, uncertainty, and electric energy effectiveness, so that a unified model and solution method have not yet been formed at home and abroad. The optimal scheduling of cascade reservoir g...

AI Technical Summary

Problems solved by technology

[0013] Aiming at the defects and improvement needs of the existing technology, the present invention provides a full-cycle efficient and high-precision optimization scheduling method and system for hydropower systems. poor technical problem

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