ELECTRICAL POWER SUPPLY SYSTEM AND COORDINATED OPTIMIZATION PLANNING METHOD FOR IT WITH MULTI-TIME SCALES
Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- UNIVERS PTE LTD
- Filing Date
- 2022-03-02
- Publication Date
- 2026-05-27
AI Technical Summary
Existing energy management systems for electrical power systems with integrated distributed energy resources face challenges in achieving multi-timescale optimization, cost efficiency, and handling uncertainties in renewable energy generation and load demand, with existing algorithms failing to provide optimal solutions due to reliance on heuristic methods and inability to adapt to system changes.
A multi-timescale coordinated optimization scheduling method involving long-, mid-, and short-timescale optimization scheduling, utilizing cloud and edge computing, with model predictive control, to generate power setpoints for distributed energy resources based on forecast and real-time data, ensuring robustness and adaptability.
The method achieves optimal power setpoint generation for distributed energy resources across multiple time horizons, enhancing system reliability and reducing operational costs by integrating forecast and real-time data effectively.