Water supply pump set scheduling method based on ABC-PSO hybrid algorithm

Abstract

The invention discloses a water supply pump set optimal scheduling method based on an ABC-PSO hybrid algorithm of an artificial bee colony algorithm and a particle swarm algorithm. By combining the exploration capability of the ABC and the solving capability of the PSO algorithm, an information exchange mechanism is added in the evolution process, that is, certain conditions are met to enable search information to be transmitted in two populations, and the required solution set precision can still be achieved while the solving efficiency is ensured. Reasonable water supply tasks are allocatedto all the water pumps according to the performance and the actual running state of individuals in the pump set, the pressure in a pipe network is balanced, the water supply flow is reduced while thewater use comfort is met, and leakage in the pipe network is reduced.

Description

technical field [0001] The present invention relates to a water supply pump group optimal scheduling method based on the ABC-PSO hybrid algorithm of artificial bee colony algorithm (ABC, Artificial bee colony algorithm) and particle swarm optimization (PSO, Particle Swarm optimization), which belongs to automatic control and communication information technology field. Background technique [0002] The scale of the city is getting bigger and bigger, the population is concentrated in the city, and the proportion of domestic water consumption in the city is also gradually increasing. Nowadays, the total amount of domestic water consumption of residents is large, the per capita consumption is high, and the potential for water saving is great. It is particularly important to realize the water saving goal of the park under the condition of water supply facilities. This method takes the real-time water supply optimization scheduling of urban parks as the research object and aims a...

AI Technical Summary

Problems solved by technology

[0003] The existing water dispatching generally aims to reduce the cost of water supply, ignoring the application of water saving, and lack of research on water saving; on the other hand, water supply dispatching is only based on historical dispatching rules, which is conservative and causes a certain degree of waste of water supply

[0004] At present, intelligent algorithms are widely used in the field of engineering practice. For example, artificial bee colony algorithm (ABC), a new type of swarm intelligence algorithm, has fewer parameters, is easy to implement, and has strong search capabilities, but it also has disadvantages such as reduced search accuracy.

However, the particle swarm optimization algorithm (PSO) has a strong local search ability, but it falls into a local optimum due to the reduction of population diversity.

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