Smart power grid dispatching method and device, computer equipment and storage medium

By constructing a multi-objective function smart grid scheduling model and using particle swarm optimization algorithm, the problem of low effects of traditional scheduling methods is solved, more efficient smart grid scheduling is achieved, and operating quality is improved.

CN119994864APending Publication Date: 2025-05-13SHENZHEN POWER SUPPLY BUREAU
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Patent Information

Application Number
CN202510020722.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-07
Publication Date
2025-05-13

AI Technical Summary

Technical Problem

Traditional smart grid scheduling methods rely on manual experience and simple analysis tools, making it difficult to effectively consider complex factors, making it difficult for scheduling strategies to meet user needs and poor scheduling effects.

Method used

By obtaining the power consumption model, electricity consumption pricing model, user electricity consumption model and energy storage model of dispatchable home appliances in the smart grid, we build a multi-objective function smart grid scheduling model, including the objective functions of electricity consumption cost, electricity consumption peak-to-level ratio and electricity consumption waiting time, and using particle swarm optimization algorithm to solve it to determine the target scheduling strategy.

Benefits of technology

The effect of smart grid scheduling can be improved, the relationship between different goals can be measured more comprehensively, and a scheduling strategy that is more in line with complex actual situations can be formulated, thereby improving the overall operation quality of smart grids.

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Abstract

The invention relates to a smart power grid dispatching method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of obtaining a power consumption model, a power consumption pricing model, a user power consumption model and an energy storage model of schedulable household appliances in a smart power grid, and determining a smart power grid scheduling model based on a power elastic household appliance power consumption model, a time elastic household appliance power consumption model, a non-elastic household appliance power consumption model, the power consumption pricing model, the user power consumption model and the energy storage model, and solving the intelligent power grid dispatching model by taking the function values of the minimum first objective function, the second objective function and the third objective function as an objective, determining a target intelligent power grid dispatching strategy, and dispatching the intelligent power grid based on the target intelligent power grid dispatching strategy. The method can improve the dispatching effect of the smart power grid.
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