A virtual power plant is a power coordination and management system that leverages advanced information and communication technologies as well as software systems to aggregate and optimally coordinate distributed energy resources—including distributed generation sources, energy storage systems, controllable loads, and electric vehicles—enabling them to function as a special type of power plant participating in electricity markets and grid operations.

Keyword: Virtual Power Plant Microgrid Platform

A virtual power plant is a power coordination and management system that leverages advanced information and communication technologies as well as software systems to aggregate and optimally coordinate distributed energy resources—including distributed generation sources, energy storage systems, controllable loads, and electric vehicles—enabling them to function as a special type of power plant participating in electricity markets and grid operations.

The virtual power plant management and control platform provides comprehensive platform operators of virtual power plants with features including panoramic overviews, system monitoring, potential analysis, dispatch optimization, grid interaction, and market trading. Leveraging the platform’s advantages, it encourages users to participate in the construction of virtual power plants, steers the development of the electricity market and grid operations, and enables operators to earn corresponding revenues based on different types of service offerings.

 

Overall architecture:

 

 

1. Cloud Scheduling Layer: The brain’s central hub, coordinating the overall situation.

1. Intelligent Optimization Engine: Based on AI algorithms, this engine performs multi-timescale optimization and scheduling—both day-ahead and intraday—developing optimal operating strategies and reducing operational costs by more than 30%.

2. Market trading platform: Connects to the electricity spot market and the ancillary services market, enabling automatic quoting and intelligent bidding to maximize revenue.

3. Data Analytics Center: Mining massive historical data to provide value-added services such as energy efficiency analysis, carbon emission accounting, and equipment health assessment.

4. Centralized Control Portal: Provides unified monitoring of multiple sites and supports a mobile app, enabling you to keep track of operational status anytime, anywhere.

 

II. Edge Control Layer: Nerve Endings—Rapid Response

1. Dispatch Control Center: Deployed at the station end, it executes real-time control strategies with a response time of less than 500 ms, ensuring safe and stable operation on-site.

2. Device Coordinated Management: Unify the scheduling of various resources such as photovoltaic systems, energy storage, and loads, enabling seamless on-grid and off-grid transitions and autonomous operation of microgrids.

3. Hardware device interface: Natively interfaces with grid-side equipment such as AGC and AVC, meeting performance evaluation requirements, with K1/K2/K3 indicators > 0.95.

4. Local disaster recovery assurance: When cloud communication is interrupted, the edge side autonomously makes decisions to ensure continuous system operation.

 

3. Equipment Execution Layer: Energy Terminals—Precise Execution

1. Comprehensive support for multiple types of equipment: covering photovoltaic inverters, energy storage PCS, charging stations, controllable loads, diesel generators, and more.

2. Multi-protocol compatibility: Seamlessly integrates with over 20 industrial protocols, including Modbus, IEC104, IEC61850, OPC-UA, and more.

3. Plug-and-play: Standardized equipment model library, with new equipment configuration time under 10 minutes.

 

Core features:

1. Intelligent Monitoring and Control: Microsecond-level data acquisition, seamless off-grid switching, and coordinated device management.

2. Multi-time-scale optimization and scheduling: Day-ahead optimization, intraday rolling optimization, and real-time control.

3. Electricity Market Trading: Ancillary Services, Spot Trading, and Demand Response.

4. Safety and Stability Assurance: N-1 Security Analysis, Online Simulation Verification, and Intelligent Early Warning.

 

System features:

1. Full business process coverage: real-time monitoring, optimized scheduling, market trading, and demand response.

2. Comprehensive resource management: Unified scheduling of resources such as photovoltaic, wind power, energy storage, and charging stations.

3. Full-market participation capability: Support for multiple markets, including medium- and long-term, spot, and ancillary services.

4. Full Lifecycle Services: Digital management of the entire process, from planning to asset valuation.

5. Accurate Forecasting: High-precision multi-dimensional forecasting of load, photovoltaic generation, wind power, prices, and more.

6. Intelligent Decision-Making: AI-driven, LSTM deep learning, and XGBoost ensemble learning.

7. Flexible Configuration: Modular design, rapid deployment, and low-code configuration.

8. Open and compatible: Supports multiple protocols, device compatibility, and standardized interfaces.

9. Data-driven optimization: real-time digital twins, comprehensive analytics, and iterative strategy refinement.

 

Core Values: Improve energy efficiency, promote the integration of renewable energy, enhance grid stability, and create economic value.