Optical storage and charging micro-grid energy management system is a specially developed energy management system, which can carry out real-time monitoring, diagnosis and alarm, panoramic analysis, orderly management and advanced control of the micro-grid's source, network, load, energy storage system and charging load of new energy vehicles. To meet the needs of comprehensive microgrid operation monitoring, intelligent security analysis, forward-looking adjustment control, and dynamic panoramic analysis, to achieve flexible interaction between the load and storage resources of the source network under different objectives, under the control of a variety of strategies, it is conducive to the efficient use of new energy, rational allocation of resources and security and stability of the microgrid, and reduce the investment in power grid construction. Improve the energy efficiency of enterprises, reduce operating costs to achieve the purpose of energy saving and consumption reduction.
The microgrid energy management system includes the main interface of the system, including the mains, photovoltaic, energy storage, charging pile and the overall load, reflecting the system main wiring diagram, photovoltaic information, energy storage information, charging pile information, alarm information, income, environment, etc.
▌Photovoltaic monitoring
> Total output of photovoltaic system
> Inverter DC side, AC side running status monitoring and alarm
> Inverter and power generation statistics and analysis
> Grid-connected cabinet power monitoring and generation statistics
> Annual effective utilization hours of power generation, identify low-efficiency power stations;
> Generation income statistics (subsidy income, grid-connected income)
> Irradiance/wind/ambient temperature and humidity monitoring
> Grid-connected power quality monitoring and analysis
▌Energy storage monitoring
> System comprehensive data: electrical parameter data, charge and discharge data, energy saving and emission reduction data;
> Operation mode: peak-valley mode, planning curve, demand control, etc.
> Statistics of electricity, income and other data;
> The power curve of the energy storage system and the comparison diagram of the charge and discharge volume can master the overall operating level of the energy storage system in real time.
▌Charging pile system
> Real-time monitoring of the charging system's charging voltage, current, power and the running status of each charging pile;
> Statistics of charging amount and electricity charge of each charging pile;
> Fault alarm based on abnormal information;
> Flexibly adjust the charging power according to the power load.
▌System topology
> Display the composition of the system, power grid connection, circuit breaker, meter and other information
▌Photovoltaic prediction
Based on massive power generation and environmental data; Based on high precision numerical weather forecasting;
Multi-dimensional isomorphic heterogeneous BP and LSTM neural networks are used for optical power prediction
Time resolution: 15min
Ultra-short-term future 4h forecast accuracy > 90% short-term future 72h forecast accuracy > 80%
▌Main function
> Short-term PV power forecast
> Ultra short term PV power forecast
> Numerical weather forecast management
> Error statistical calculation
> Real-time data management
> Historical data management
> PV power prediction data HMI
▌Power quality monitoring
Continuous monitoring of power quality and power reliability throughout the system. For example, steady-state data such as voltage harmonics, voltage flicker, voltage unbalance, voltage rise/drop, voltage interruption transient data are monitored, analyzed, recorded and displayed, and voltage and current transients are monitored.
▌Control policy configuration
Control policy configuration supports a variety of control modes, such as peak cutting and valley filling, planning curve, demand control, spontaneous self-use, dynamic capacity expansion, and anti-countercurrent control.
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