LVFU ESS Peak shaving and valley filling
Users can configure electricity price and plan curve templates based on local time-of-use tariffs. They then set the charging and discharging power for different periods. Following this schedule, the energy storage system releases electricity during peak hours to act as a power source and absorbs electricity during off-peak hours to act as a load. This active management improves the power grid’s economic efficiency and operational safety.
LVFU ESS Off-grid backup power
The system features a bidirectional inverter and an STS automatic switching device. During a grid outage, these components enable a switch to energy storage power supply within 20ms, providing continuous power to critical loads. If the grid fails completely, the system allows for the rapid establishment of a local microgrid, which prioritizes power for core equipment. Furthermore, operators can initiate mains power disconnection to conduct outage drills and verify the backup system’s reliability. In off-grid mode, the combination of photovoltaic panels and energy storage delivers a pure green power supply, suiting industrial parks with stringent environmental standards.
LVFU ESS Photovoltaic consumption
Photovoltaic Self-Generation and Self-Consumption: The system continuously monitors photovoltaic output and load demand. When photovoltaic power exceeds the load, the system charges the energy storage. Conversely, when the load exceeds photovoltaic power, the system discharges the storage. Once the storage reaches full capacity, the system limits further photovoltaic generation to prevent any power from feeding back to the grid, thereby minimizing grid electricity use.
Residual Power Consumption: Under this mode, the system also monitors real-time photovoltaic and load power. It directs surplus photovoltaic power to charge the energy storage until full. Thereafter, the system curtails photovoltaic output to avoid reverse power flow to the grid.
LVFU ESS Intelligent management platform
The platform employs a cloud-based deployment and operation architecture. It integrates key subsystems like EMS, BMS, PCS, and fire protection into a single cloud platform. This integration empowers the platform to perform big-data analysis on battery performance, manage power plant operations with precision, and issue intelligent early warnings for battery safety. The platform constantly tracks the temperature and voltage of each battery pack, analyzes their status, and immediately alerts maintenance personnel upon detecting any abnormalities.
