Pump station optimization scheduling method based on virtual water

Abstract

The invention discloses a pump station optimal dispatching method based on virtual water in the field of reservoir dispatching. The pump station optimal dispatching method comprises the following steps: 1) collecting pump station-water diversion area information; 2) constructing a pump station-water diversion area system database; 3) establishing a pump station optimization scheduling model based on virtual water: connecting a database by using C + +, reading data information of each field of the pump station-water diversion area system in the step 2), taking maximum daily pump station water diversion economic benefit as an objective function, and considering the influence of electric charge price fluctuation and tidal reach on pump station lift, so as to establish a pump station optimization scheduling model based on virtual water; the non-negative constraints of product import, pumping station water diversion, water diversion capacity and decision variables are met, and a virtual water-based pumping station optimization scheduling model which is mutually fed with the database is established; and 4) aiming at the model, providing a combined algorithm of 0-1 integer programming and a whale algorithm to solve the model, thereby realizing the optimal configuration of regional water resources and obtaining the maximum economic benefit in the scheduling period.

Description

technical field [0001] The invention relates to the technical field of optimal scheduling of pumping stations, in particular to a method for optimal scheduling of pumping stations. Background technique [0002] Optimal scheduling of pumping stations refers to water transfer through pumping stations to meet regional water requirements and maximize economic benefits. The optimal scheduling of pumping stations is a combinatorial optimization problem with strong constraints, nonlinearity and multi-stage characteristics. Its core is: (1) Build a reasonable optimal scheduling model of pumping stations. At present, the optimization and scheduling of pumping stations mainly focus on improving the water diversion, operating efficiency, and reducing the operating costs of pumping stations. When building the model, it only starts from the perspective of physical water, and does not consider the virtual water in the area ( The circulation of water condensed in goods or services) is not...

AI Technical Summary

Problems solved by technology

The methods for solving optimal scheduling problems generally include linear programming, nonlinear programming, dynamic programming, and swarm intelligence optimization algorithms, etc., but these methods inevitably have some problems: ①Linear programming and nonlinear programming have slow solution speed and low efficiency, etc. Problems; ②Dynamic programming has a large amount of calculation and is prone to "curse of dimensionality"; ③Swarm intelligence optimization algorithm is prone to problems such as low solution accuracy and falling into local optimum

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