The NseaEMS-ES energy storage management system is the control center for the coordinated and stable operation of the energy storage system, established in conjunction with the battery system PCS、 The information exchange link of the booster station can achieve real-time monitoring, diagnostic warning, panoramic analysis, and advanced control functions, meeting the needs of comprehensive operation monitoring, intelligent safety analysis, and dynamic panoramic analysis, ensuring the safe, reliable, and stable operation of energy storage power stations. It is suitable for system monitoring, power control, and energy management applications of energy storage stations, microgrids, integrated new energy storage projects, and other types of projects.
The system is developed based on NSEA RTSuite Xihe Industrial Internet Real time Platform Suite, which adopts hierarchical functional design, and adopts functional module design for communication protocol, communication middleware, data, and computing engine. With NseaDB Xihe database as the core and NseaCP machine learning and scientific computing platform as the business algorithm core, data reading and writing adopt a unified access interface, a service-oriented and component-based architecture, and business can be flexibly configured. Advanced algorithm models such as AI can be combined to conduct in-depth analysis and mining of ocean operation data, achieving the formulation and execution of intelligent operation strategies.
System performance
System processing capacity: Analog quantity not less than 1 million points, state quantity not less than 1 million points, and calculation point not less than 500000 points.
The database supports a scale of over one million points on a single machine, with a timestamp resolution of nanoseconds, a maximum of 2000 concurrent connections, a storage capacity of over 3 million per second, and a real-time query throughput of over 3 million per second.
The time from the arrival of remote signaling change information at the main monitoring platform collection device to the exit of alarm information shall not exceed 1 second.
Provide the ability to communicate and collect data from various types of data sources using various communication methods. The main interfaces include TCP/IP, OPC, Modbus, and customization.
■ Product advantages
Intelligent operation strategy: For energy storage systems, multiple sets of scientifically efficient operation strategies are built-in, which can be automatically selected and switched according to actual needs;
AI intelligent algorithm model: The system is equipped with a built-in scientific computing engine, which enables the construction of self-learning energy storage operation control algorithm models;
Rich API interfaces: The system provides a variety of API interfaces to enable integration with third-party devices and systems;
Strong compatibility: The system is widely compatible with various models of equipment from mainstream energy storage manufacturers in the market;
Flexible configuration: Adopting a microservice architecture, functional components can be flexibly configured as needed for different business scenarios.