基于多目标粒子群算法的分布式储能聚合商优化调度方法
By optimizing the scheduling strategy of distributed energy storage aggregators through a multi-objective particle swarm optimization algorithm, and establishing a model of energy storage scheduling potential and user satisfaction, the problem of distributed energy storage being difficult to control in the power grid is solved, thereby maximizing revenue and improving user satisfaction, and ensuring system stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING INST OF TECH
- Filing Date
- 2023-03-23
- Publication Date
- 2026-07-17
AI Technical Summary
Distributed energy storage is difficult to control and manage in the power grid, which leads to damage to the safety and reliability of the power system, and the dispatch strategies of distributed energy storage aggregators are difficult to maximize their potential and user satisfaction.
A distributed energy storage aggregator optimization scheduling method based on multi-objective particle swarm optimization algorithm is adopted. An energy storage scheduling potential model is established, and combined with user electricity consumption habits and economic models, the charging and discharging behavior of energy storage users is optimized. A satisfaction model is established to achieve stable operation and maximized revenue for aggregators.
Effectively assess the dispatchable potential of distributed energy storage, improve aggregator revenue, enhance user satisfaction, and ensure the long-term stable operation of energy storage systems.
Smart Images
Figure CN116345515B_ABST