Power supply relationship control method and system for supply and demand sides in a power system

By establishing a 5G communication connection between the dispatch center and the mobile energy storage charging vehicle, performing heterogeneous data governance, and using the DDPG algorithm, the problem of low resource allocation efficiency in the mobile energy storage charging vehicle dispatch strategy was solved, and dynamic matching of charging demand and resource supply was achieved.

CN120784849BActive Publication Date: 2026-06-02SHANXI ELECTRIC POWER CO POWER COMM CENT +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANXI ELECTRIC POWER CO POWER COMM CENT
Filing Date
2025-06-30
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve efficient allocation of charging vehicle resources and address the dynamic matching problem between charging demand and resource supply in mobile energy storage charging vehicle scheduling strategies.

Method used

By establishing a 5G communication connection between the dispatch center and the mobile energy storage charging vehicle, information from the energy supply side and demand command information are collected, heterogeneous data is managed, and the scheduling model is trained using the Deep Deterministic Policy Gradient (DDPG) algorithm to divide the rejection area, output the scheduling strategy, and select the target charging vehicle to provide charging services to users.

Benefits of technology

It has enabled efficient allocation of mobile energy storage charging vehicle resources, solved the dynamic matching problem between charging demand and resource supply, and improved the timeliness of information collection and the flexibility of data analysis.

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Abstract

The application provides a power supply relationship control method and system of a power supply end in a power system, and relates to the field of power distribution management. The method comprises the following steps: determining a target service area of a distributed power distribution system, and establishing a PDU session between a dispatch center and a plurality of mobile energy storage charging vehicles; connecting a user plane function (UPF) and collecting power supply end information of the mobile energy storage charging vehicles based on protocol specification requirements; receiving demand instruction information of a user based on an application layer protocol through the dispatch center; performing heterogeneous data governance on the power supply end information and the demand instruction information, and analyzing through a dispatch model to output a dispatch strategy to determine a target charging vehicle from the plurality of mobile energy storage charging vehicles, and issuing an instruction to control the target charging vehicle to move to a target user position represented by second position data. The application realizes efficient configuration of mobile energy storage charging vehicle resources, and solves the problem of dynamic matching between charging demand and resource supply.
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