A priority-based user energy management method and system

Abstract

An embodiment of the present invention provides a priority-based user energy management method and system, wherein the provided method includes: calculating the priority of the user's electrical load information and the user's total load information to obtain the priority of the electrical load Information, user load priority information and edge server load priority information to which the user belongs; obtain the energy demand reported by the user, based on the energy demand, calculate and obtain the electricity quotation according to the Stackelberg model; according to the Electricity quotation and electricity load priority information, user load priority information and edge server load priority information to which the user belongs, use the priority-based demand ratio sequential scheduling method to obtain the energy scheduling strategy. The method and system provided by the embodiments of the present invention can effectively reduce energy costs of users and improve overall satisfaction.

Description

technical field [0001] The invention relates to the field of video technology, in particular to a priority-based user energy management method and system. Background technique [0002] The ever-increasing demand for smart grids and limited network resources have become a pair of contradictions. Under this background, energy management has become one of the key research directions in recent years. Residential Energy Management (REM, Residential Energy Management) pays more attention to the needs of users and is regarded as a demand response tool, which can propose optimization solutions when users use household appliances to achieve energy efficiency optimization. It enables users to play a key role in the energy scheduling process by deciding whether to reduce or change the use of some household appliances. As a cutting-edge science and technology, edge computing can be used to further optimize the interaction process between electricity service providers (ESP, electricity ...

AI Technical Summary

Problems solved by technology

[0005] However, in the existing technology, in the process of managing the user's power consumption, decisions are often made only based on historical power consumption information, without considering the difference between the predicted situation and the real situation, and at the same time, there is a lack of process for optimizing the user's energy consumption

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