Electric appliance task dispatching method and electric appliance task dispatching device

Abstract

The invention discloses an electric appliance task dispatching method which comprises the steps that one power consumption cycle is divided into at least two time periods according to a general no-par-value electricity pricing mechanism; each time period includes the threshold value of corresponding power consumption, a low electricity price and a high electricity price; the task information of electrical appliances is acquired and includes the power consumption of all the electric appliance tasks; the electric appliance tasks are dispatched according to the threshold values in all the time periods and the power consumption of all the electric appliance tasks. According to the method, the electric appliance tasks are dispatched into the corresponding time periods according to the task information of the electrical appliances, so that electric charges generated by all the electric appliance tasks are effectively reduced, the power consumption within a peak period is reduced, and computation complexity is low.

Description

technical field [0001] The invention relates to the technical field of smart grids, in particular to a method and device for scheduling tasks of electrical appliances. Background technique [0002] With the development of society, production and life require more and more energy. As an important energy distribution network, the existing power grid system has a series of problems such as low efficiency, serious pollution, and low degree of automation. Among these problems, the following two problems are particularly prominent: First, in the existing power grid system, a large part of power production capacity exists only to cope with peak power consumption, and this part of Second, the existing power grid cannot effectively integrate renewable energy such as wind power and solar energy into the power grid. These renewable energy sources are extremely unstable, and their fluctuations make it impossible for the grid to effectively balance supply and demand. [0003] As a nex...

AI Technical Summary

Problems solved by technology

[0004] Existing scheduling algorithms for non-parity electricity prices generally only target a single step-level electricity price or real-time electricity price

Algorithms that only focus on tiered electricity prices cannot effectively consider factors such as solar energy and wind energy; while scheduling algorithms that only focus on real-time electricity prices will cause new peak hours while eliminating the original peak hours, thus failing to effectively reduce electricity consumption during peak hours

In addition, some scheduling schemes for complex electricity price models need commercial software such as plastic planning optimization software, and the amount of calculation required is unpredictable, so they cannot be effectively run on smart meters used to dispatch electrical appliances.

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