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.
Patent Information
- Application Number
- CN202510893248.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-30
- Publication Date
- 2026-06-02
- Estimated Expiration
- 2045-06-30
AI Technical Summary
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.
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.
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
Citation Information
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