Multi-load aggregator collaborative response method based on power grid limited adjustment budget
By constructing an interaction model among power grid companies, load aggregators, and end users, and setting incentive mechanisms and differentiated compensation pricing, the problem of coordinated response among multiple load aggregators under limited adjustment budgets was solved. This enabled reasonable response and optimal resource allocation for load aggregators, improved market transparency and response efficiency, and ensured the economic viability of power grid companies and fair competition and revenue protection for load aggregators.
Patent Information
- Application Number
- CN202511761488.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-04-17
AI Technical Summary
Existing technologies have failed to effectively address the coordinated response problem of multiple competing load aggregators under limited adjustment budgets, and lack a mechanism for differentiated economic incentives and resource optimization allocation for each aggregator under budget constraints.
An interactive model involving power grid companies, load aggregators, and end users is constructed. By sorting out the interaction relationships among the three parties, an incentive mechanism is set, a differentiated compensation pricing mechanism and a resource optimization allocation mechanism are established, and the commercial solver BARON is used to solve the model to optimize the collaborative response strategy of multiple load aggregators.
This approach enables load aggregators to respond reasonably within a limited regulation budget, coordinates and balances the interests of multiple stakeholders, improves market transparency and response efficiency, optimizes capital allocation, ensures the economic viability of the power grid company and fair competition and revenue protection for load aggregators, and enhances the regulation potential and willingness to participate of end users.