Comking Electric's Generation-Grid-Load-Storage Integrated Platform provides users with a convenient, efficient, and secure full-chain energy management solution. It significantly enhances the reliability, security, and cost-effectiveness of customers' energy systems, reduces manual intervention, lowers operational costs, and decreases the frequency and impact of failures through predictive maintenance. Leveraging AI Energy Brain technology, the platform achieves optimized scheduling of multi-source energy and rational load distribution, enabling intelligent collaborative energy allocation that maximally satisfies application scenario requirements while realizing green, low-carbon, and high-efficiency management.
 

►System Architecture Components

1. Comprehensive Data Acquisition: The system can collect real-time operational data from various energy types (such as photovoltaic, wind energy, energy storage batteries, etc.), including key parameters like voltage, current, power, frequency, temperature, and humidity.

2. High Precision and High Frequency: The data acquisition system ensures high precision for monitoring data accuracy while supporting high-frequency sampling to meet real-time monitoring requirements.

3. Multi-Source Data Fusion: The system integrates diverse data sources from various energy devices, employing data fusion technologies to deliver a more comprehensive system status overview.

4. Real-Time Capability: With rapid data acquisition and processing speeds, the system achieves second-level data updates to ensure real-time monitoring information.

5. Dynamic Monitoring: The system enables real-time monitoring of dynamic changes in the energy system, such as grid load variations and renewable energy generation fluctuations, while providing swift responses.

6. Fault Detection and Early Warning: Through real-time data analysis, the system can detect potential system faults and issue early warnings, thereby reducing failure probabilities and mitigating fault impacts.

7. Remote Monitoring: Leveraging Internet of Things (IoT) technology, the system supports remote monitoring, allowing operation and maintenance personnel to access and manage the system via the Internet from any location.

8. Automatic Recording and Storage: The system automatically records collected data and stores it in databases, facilitating subsequent data analysis and historical inquiries.

9. User-friendly interface: Provides an intuitive graphical interface that enables users to easily view real-time and historical data, and perform data visualization analysis.

10. Data security and privacy protection: The system employs encryption technology and access control to ensure data security and user privacy protection.

11. Intelligent data processing: Through artificial intelligence and big data analytics, the system can intelligently process collected data to provide decision-making support.

12. Flexible scalability: The system can easily add new data collection points and monitoring functions according to user requirements and energy system expansion.

►Technical Features

1. Multi-energy Complementary Technology: Integrates various renewable energy sources and energy storage technologies to achieve energy complementarity and high-efficiency utilization.

2. Power Dispatch Technology: Employs advanced algorithms for electricity dispatch to optimize energy distribution.

3. Energy Storage Technology: Utilizes advanced energy storage systems to enhance grid stability and regulation capabilities.

►Application Scenarios

1. Urban Microgrids: Establishes microgrids in urban central areas to achieve renewable energy utilization and ensure stable grid operation.

2. Industrial Parks: Deploys integrated generation-grid-load-storage systems within industrial parks to improve energy utilization efficiency.

3. Residential areas: Install PV panels and energy storage systems in residential communities, providing green and economical energy solutions.

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