Introducing the Energy Storage Monitoring and Management System – a high-reliability, real-time control solution for grid stabilization, frequency regulation, and peak load shaving. Designed for large-scale energy storage plants, it ensures safe, stable, and cost-effective operations with 30ms ultra-fast response time and <1% control error. Featuring dual-network redundancy, seamless hot standby, and compatibility with IEC 61850 standards, this system supports remote data transmission, active/reactive power control, and GW-level station management. Ideal for modern power stations seeking efficient participation in energy markets with visualized battery status and fault diagnostics.More
According to project scale and reliability requirements, a robust distributed application system can be configured with dual networks, dual databases, and dual servers. Any single point of failure does not affect system operation.
Flexible and Efficient
A highly flexible human-machine interface can map any real-time database fields, real-time and historical data, with rich presentation methods, providing efficient and intuitive tools for power station operation and maintenance.
Secure and Reliable
Complete system services, with a system model supporting 61850, communication services supporting seamless hot standby switching, and computation services supporting numerical calculations, text processing, and time processing, support real-time script verification to ensure script correctness.
Accurate Control
Leading control efficiency and accuracy, with an active response time of 30ms and a control error of less than 1%, provide assurance for power stations to efficiently participate in market operations and easily handle GW-level energy storage station control.
Comprehensive platform support
Supports various domestic open-source operating systems and databases.
Visual Operation
Provide visual and quantifiable indications of battery operating status and fault status for operation and maintenance personnel to prevent unsafe phenomena and equipment failures during the operation process.
