Intelligent control method and device for direct current air conditioning light storage system, electronic equipment and storage medium
By acquiring information on air conditioning load, weather, and power grid, the charging and discharging strategies of the energy storage system are optimized, solving the matching problem between photovoltaic power generation and air conditioning systems, improving the utilization rate of photovoltaic energy and the stability of power supply, and reducing operating costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QINGDAO HAIER AIR CONDITIONING ELECTRONICS CO LTD
- Filing Date
- 2026-03-30
- Publication Date
- 2026-07-21
AI Technical Summary
Existing photovoltaic power generation systems and DC air conditioning systems are difficult to match on a time scale, resulting in curtailment of solar power and unstable power supply. Traditional control strategies fail to take into account the dynamic balance between user comfort, operating costs and energy utilization efficiency.
By acquiring future air conditioning load trends, weather forecast information, and grid time-of-use pricing information, a user habit model and a multi-objective optimization function are constructed to optimize the charging and discharging strategy of the energy storage system, thereby achieving priority utilization of photovoltaic energy and minimization of system operating costs.
It achieves forward-looking matching of photovoltaic power generation and air conditioning load on a time scale, improves the local consumption rate of photovoltaic energy, reduces operating costs, and ensures power supply continuity and user comfort.
Smart Images

Figure CN122437137A_ABST