Micro-Grid Energy Management System (Ems) Cloud Platform For
Distributed Generation
System introduction
ANE new energy Micro-grid system is comprehensive system which can
monitor the power source, load, storage system, vehicles and other
equipment, connected with charging cloud platform and energy cloud
platform for remote interaction, maximally using the distributed
generation energy, ensuring the power quality and economic
benefits, also providing auxiliary response and cooperative
scheduling to the grid system.
Features
Intelligence
Multiple strategy parallel operation, intelligent decision and
automatic adjustment
Precision
By redundancy design, accurate detection and high speed control,
improving the power supply quality of load
Visualization
Graphical design and contouring display system power distribution,
generation, power utilization and discharging status
Overall
Overall perception of power grid, new energy generation, storage
and load working status in system.
Collaboration
Control and coordinate different types of equipment and system,
breaking the information island, achieving the unification of
system monitoring and management
System Function
Data monitoring
Supporting multi-energy access centralized monitoring, visual
presentation of distributed energy operation.
Grid interaction
Participating in the supply of auxiliary services and demand side
response in the power market by utilizing the spatial
characteristics and coordination capability of distributed power
supply.
Historical Statistics
Store the real time date and predicted data and operation log,
automatically generate the report.
Economic dispatch
Reasonably arrange the scheduling plan of distributed power supply
and energy storage equipment within the regulation range, so as to
make the overall operation economy of the system higher.
Vehicle-grid system interaction
Making full use of the vehicle-grid system (V2G) technology,
increasing the economic benefit and auxiliary standby functions
from EVs discharging to the grid system.
Power prediction
Using traditional algorithm and intelligent algorithm to predict
the new energy power efficiency.
