Microgrid Smart Energy Platform
Acrel solutions cover power, renewable energy, environmental protection, fire protection, and other industries, including data centers, hospitals, smart buildings, campuses, factories, transportation, and others. Acrel provides solutions for users' safe, reliable, efficient, and orderly energy use, achieving peak carbon and carbon neutrality, and providing data support.
The Microgrid Smart Energy Management Platform is a system that integrates modern information technologies such as the Internet of Things (IoT), big data, cloud computing and artificial intelligence (AI) to monitor, control and optimize energy consumption to improve efficiency and reduce waste.
The Acrel-2000MG microgrid energy management system enables the integration of photovoltaic systems, energy storage systems, charging stations, diesel generators, consumer loads, and other devices, and performs 24/7 data collection and analysis. It monitors the operating status and health of photovoltaic systems, energy storage systems, diesel generators, consumers, and other systems, serving as a comprehensive management system that integrates monitoring and energy management. This system aims to achieve economic optimization based on safety and stability, promotes the use of renewable energy, peak load shaving, load leveling, improves grid operating stability and equipment operating efficiency, and reduces power costs. It provides a new solution for the safe, reliable, and economical operation of enterprise microgrids.
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FULL
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SECURE
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VISUALLY
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On-grid structure
The microgrid energy management system essentially consists of a server, a switch, a communication management system, and other devices. It communicates via Ethernet with photovoltaic, wind, charging, and energy storage systems, enabling comprehensive energy management, device monitoring, and other functions.
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Off-grid structure
The system features sophisticated battery management functions and extensive external communication interfaces, enabling real-time monitoring and control of the operating data of energy storage systems, charging systems, photovoltaic and wind turbine systems, and other smart devices. This includes the acquisition of information such as voltage, current, temperature, pressure, flow, etc. in the energy storage system, real-time monitoring, optional management, intelligent maintenance, and information query functions.
Advantages
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Dashboard:
It enables the collection, monitoring and visualization of data such as microgrid photovoltaics, wind power, energy storage, load, charging stations and environment, as well as functions such as alarms for unusual events and sales statistics.
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Device monitoring:
Monitor the power generation, consumption, and charging and discharging status of PV modules, inverters, PCS BMS, charging stations and other devices, and support event queries, statistical reports and other functions.
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Energy forecast:
Realize short-term and ultra-short-term photovoltaic power forecasts and perform fault analysis. At the same time, big data analysis algorithms predict the load power curves of all loads in the microgrid based on historical load data.
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Optimal control strategy:
Coordinate multiple energy sources such as photovoltaics, wind power, energy storage and loads, plan dynamically intelligent strategies and achieve coordinated control of energy storage and photovoltaics, including scheduling curves, peak clipping and valley refilling, backflow prevention, new energy consumption and demand response.
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Energy planning:
Based on the results of the photovoltaic and load power forecast, combined with time-dependent electricity prices, grid interaction power, energy storage status, and constraints, an economic dispatch model is created with the goal of minimizing electricity costs. Using a deep learning algorithm, the energy plan for microgrid operation is analyzed, the energy plan is broken down, and photovoltaics and energy storage are effectively utilized.
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Energy analysis:
Features microgrid energy consumption and benefit analysis, microgrid economic operation analysis, multidimensional performance analysis, and provides a foundation for intelligent operation and maintenance.
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Alert:
As soon as an alarm occurs on the device, the alarm data is uploaded in real time and forwarded by the app to the responsible person.
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Hardware requirements
- CPU: Over 3.0 GHz
- Memory: 8 GB or more
- Hard drive: Over 500 GB
- Graphics card: Supports HDMI interface, resolution supports 1920 x 1080
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System support
- Modbus RTU, Modbus TCP, CDT, IEC60870-5-101, IEC60870-5-103, EC60870-5-104, MQTT and other communication protocols
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Operating environment
- Windows 10, Ubuntu, Kylin, Neos
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