A multi-time scale scheduling method based on maximum demand of virtual power plant
By using multi-timescale collaborative scheduling and dynamic demand constraints, the problems of time-scale fragmentation and low resource utilization efficiency in virtual power plant scheduling are solved, achieving maximum benefit and improved flexibility within demand constraints.
Patent Information
- Application Number
- CN202610542876.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing virtual power plant dispatching technologies suffer from problems such as fragmented time scales, one-sided consideration of demand constraints, insufficient resource aggregation and coordination, and weak ability to cope with forecasting errors. These issues result in insufficient dispatching flexibility and an inability to maximize benefits within demand constraints.
Construct a multi-timescale forecasting model, combine dynamic demand constraints and differentiated allocation based on distributed resource characteristics, and establish a closed-loop collaborative mechanism of forecasting-scheduling-feedback-optimization through a collaborative scheduling system of daily planning, intraday rolling and real-time adjustment to optimize resource utilization and market trading strategies.
It has improved the renewable energy consumption rate and ancillary service revenue of virtual power plants under demand constraints, enhanced dispatch flexibility and market competitiveness, effectively reduced the impact of forecast errors, and improved resource utilization efficiency and market profitability.
Smart Images
Figure CN122418858A_ABST