Source Network Load Storage Real-Time Monitoring Energy Management
System
1.Descriptions
The new energy micro-grid energy management system can monitor the
source, load, storage, vehicle and other equipment in the system in
real time, and interact remotely with the charging cloud platform
and energy storage cloud platform to maximize the use of
distributed generation energy, ensure the optimal power quality and
user economic benefits, and provide auxiliary response and
collaborative scheduling services for the distribution network.
2.Specifications
1. Multi-purpose strategy parallel operation, intelligent
decision-making, automatic adjustment.
2. Improve the power supply quality of the load through redundant
design, accurate detection and high-speed control.
3. Graphical design is adopted to display the operation status of
power distribution, power generation, power consumption, charging
and discharging of the system in layers.
4. Comprehensively perceive the operation status of power grid, new
energy generation, energy storage and load in the system.
5. Control and coordinate different types of equipment and systems,
break information islands, and realize the unification of system
monitoring and management.
3.Functions
1.Support centralized monitoring of multi-energy access and visually
display the operation of distributed energy
2. Reasonably arrange the scheduling plan of distributed power supply
and energy storage equipment within the scope of regulation, so as
to maximize the overall operation economy of the system
3. Take advantage of the controllable characteristics and regulation
ability of distributed power generation to participate in the power
market to provide auxiliary services and demand-side response
4. Make full use of V2G technology to excavate the economic benefits
of electric vehicle charging and discharging on the microgrid and
the regulation and reserve function
5. Store real-time data, forecast data and operation logs as required,
automatically count and form relevant reports
6. Use traditional algorithm and intelligent algorithm to predict the
output capacity of new energy
