Cross-regional virtual power plant power redundancy and resource self-governance negotiation and dispatch platform

CN121055291BActive Publication Date: 2026-05-26JIANGSU JUTENG NEW ENERGY CONSTR ENG CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU JUTENG NEW ENERGY CONSTR ENG CO LTD
Filing Date
2025-08-19
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Traditional power dispatching systems suffer from low resource integration efficiency, lagging power supply and demand matching between regions, and insufficient coordination in dispatching decisions when managing cross-regional virtual power plant resources. In particular, they struggle to achieve efficient resource dispatching and power backup response when faced with complex scenarios involving distributed and heterogeneous operating characteristics.

Method used

It provides a cross-regional virtual power plant power redundancy and autonomous resource negotiation and dispatch platform. Through the resource pool establishment module, it aggregates and labels cross-regional resources. Combined with the dynamic prediction module, it monitors the power change data flow in real time, builds an autonomous negotiation mechanism and power dispatch rules, and realizes the dispatch and control of cross-regional power resources.

Benefits of technology

It has improved the utilization rate and dispatch flexibility of cross-regional power resources, enhanced the accuracy of supply and demand matching, and ensured the stability and efficient operation of the power system.

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Abstract

This invention discloses a cross-regional virtual power plant power redundancy and resource autonomous negotiation scheduling platform, belonging to the field of resource scheduling technology. The platform includes: a resource pool establishment module for establishing a cross-regional virtual power plant resource pool; a dynamic prediction module for obtaining virtual power plant operating status parameters and cross-regional power demand prediction parameters; a scheduling strategy construction module for constructing virtual power plant power scheduling strategies; and a scheduling control module for performing power resource scheduling control. It solves the technical problems of uneven resource allocation and low scheduling efficiency in cross-regional power scheduling, and achieves the technical effects of improving supply and demand matching accuracy, increasing power resource utilization, and enhancing scheduling flexibility through cross-regional resource aggregation and dynamic prediction.
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