基于双层建模的微电网多目标优化配置方法及系统
By employing a two-layer modeling and multi-objective optimization configuration method, this study addresses the loss migration problem caused by frequent power flow path reconfiguration in microgrids, thereby improving the operating efficiency and reliability of microgrids, optimizing energy storage utilization strategies, and extending equipment lifespan.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID SHANGHAI MUNICIPAL ELECTRIC POWER CO
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
In microgrids, the power injection from distributed power sources and energy storage devices exhibits fluctuating characteristics over time, leading to frequent reconfiguration of power flow paths. This causes branch loss migration, resulting in high-loss conditions in some branches, increasing the risk of local overload, reducing grid operating efficiency, and affecting energy storage dispatch and equipment lifespan.
A multi-objective optimization configuration method for microgrids based on two-layer modeling is adopted. By constructing a configuration layer model and an operation layer model, time-varying power disturbance sequences are injected for time-series simulation, loss migration feature sets are identified, and branch loss fluctuation constraints are constructed and fed back to the configuration layer model as feasibility constraints. Finally, a multi-objective optimization algorithm is used to search for the optimal configuration scheme.
Effectively control loss migration caused by power flow path reconfiguration, improve microgrid operating efficiency, ensure power supply reliability, optimize energy storage usage strategies, extend energy storage life, and enhance economy and reliability.
Smart Images
Figure CN122052018B_ABST