一种储能电站的充放电策略确定方法、装置、设备及介质
By constructing a fitness function and using a genetic algorithm to optimize the electricity price and charging/discharging strategy of an energy storage power station, the problem of balancing revenue and the number of charging/discharging cycles in an energy storage power station is solved, thereby improving economic efficiency and resource utilization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- INNER MONGOLIA ELECTRIC POWER SURVEY & DESIGN INST
- Filing Date
- 2025-11-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively balance maximizing revenue and minimizing the number of charge/discharge cycles in energy storage power stations, resulting in inaccurate economic benefit assessments and insufficient resource utilization efficiency.
By acquiring electricity price data and energy storage duration data of energy storage power stations, a fitness function is constructed with the goal of maximizing electricity price and minimizing the number of charge and discharge cycles. The optimal monthly electricity price threshold is determined, and a daily charge and discharge strategy is generated based on this threshold. A genetic algorithm is then used to optimize the threshold to achieve the optimal charge and discharge strategy.
This has improved the economic benefits and resource utilization of energy storage power stations, reduced human resource input, increased work efficiency, and ensured reasonable charging and discharging operations under dynamic electricity price fluctuations.
Smart Images
Figure CN121529704B_ABST