RK3588-based Microgrid Coordination Controller: Enabling Intelligent Regulation and Optimized Operation of Distributed Energy Resources
The Microgrid Coordination Controller solution achieves intelligent coordination and optimized operation of distributed energy resources (DERs) such as photovoltaic (PV), energy storage, and wind power equipment by integrating advanced algorithms and real-time data technology. Key features include:
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Coordinated Optimization Scheduling: Utilizes Model Predictive Control (MPC) to dynamically adjust PV output, energy storage charge/discharge strategies, and load demand. Scheduling is optimized based on electricity price signals and real-time data to maximize renewable energy consumption and reduce electricity costs2.
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Anti-Reverse Power Flow Control and Local Consumption: PV power prioritizes meeting local loads, with surplus power mandatorily allocated to energy storage charging or adjustable loads to prevent grid feed-in and curtailment. Combined with time-of-use (TOU) electricity pricing mechanisms (e.g., a two-charge, two-discharge strategy), it improves system stability by 15% and reduces costs by 15%-30%13.
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Demand Response Mechanism: Guides users to flexible electricity consumption through price incentives, increasing demand when power is abundant and reducing it when scarce. This balances supply and demand, enables source-load interaction, and enhances microgrid resilience2.
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Intelligent Monitoring and Safety Optimization: Real-time collection of site-wide data, including battery temperature control and fire safety, provides operational safety warnings. It supports cloud-based remote operation and maintenance, strategy customization (e.g., peak shaving and valley filling, demand control), and optimizes energy flow through energy efficiency analysis, shortening the energy storage payback period34.
This solution has been deployed in projects such as the Henan Expressway, enabling remote centralized monitoring and automatic execution of strategies (e.g., anti-reverse power flow and renewable energy consumption), thereby enhancing the synergistic efficiency of source-grid-load-storage1. Key advantages include increasing PV utilization by 40%, reducing curtailment rates, and achieving carbon reduction goals through dynamic economic dispatch
Successful cases of microgrid intelligent PV-storage coordination projects include multiple real-world application scenarios, covering fields such as transportation and industry. Specific examples are as follows:
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Expressway PV-Storage-DC-Flexible Microgrid Project: This project is applied in scenarios such as expressway service areas, parking sheds, and tunnel slopes. Through an integrated PV-storage-charging intelligent microgrid management and control platform, it achieves distributed PV power generation monitoring, optimized energy storage allocation, and flexible load interaction, improving energy utilization efficiency and supporting integrated transportation and energy operations1.
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PV-Storage-Charging Microgrid Engineering Design Project: Based on load classification statistics and balancing strategies (e.g., Class I/Class II load power optimization), this project adopts a grid-connected but non-exporting mode in grid-connected microgrid systems. Combined with PV power plant rooftop design, it prevents reverse power flow and increases local consumption, making it suitable for high-energy-consumption scenarios such as industrial parks3.
These cases demonstrate the dynamic scheduling of PV and storage resources through an intelligent monitoring platform, verifying the project's effectiveness in improving energy economics and stability.