Imax Power Microgrid Multi-Energy Complementary Solution

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Imax Power — Delivering Energy Solutions for a Better Tomorrow

Solution Value

  • Enhance Comprehensive Energy Utilization Rate: Achieve complementary use of electricity, heat, and cold to maximize energy conversion efficiency. This ensures optimal use of available energy resources.
  • Strengthen System Operation Stability: Multi-energy  collaborative power supply reduces the risk of single-energy fluctuations. Stable operation is crucial for reliable energy delivery.
  • Support Flexible Multi-Energy Scheduling: Involve energy storage systems in coordination to achieve dynamic energy balance. Flexible scheduling optimizes energy distribution.
  • Adapt to Multi-Scenario Independent Operation: Achieve self-sufficiency in parks, communities, and off-grid areas. Versatile applications meet diverse energy needs.
  • Establish Intelligent Management and Control System: EMS unifies the scheduling of various energy flows and optimizes system operation strategies. Smart control enhances overall efficiency.
  • Reduce Comprehensive Energy Costs: Utilize surplus energy and storage comprehensively to improve economy and investment returns. Cost reduction boosts profitability.
  • Assist Green and Low-Carbon Transformation: Increase the proportion of clean energy utilization and promote sustainable energy development. This supports environmental goals.

Key Core Products & Technical Systems

Module Products

Imax energy storage converters PCS/Bidirectional DCDC/MPPT/STS/BMS/EMS (assuming these are the module products under the Imax Power brand; adjust if actual product names differ)

System Products

Imax Power integrated energy storage system

Hierarchical Structure

System Top Layer: Collaborative Control and Energy Management

  • EMS Intelligent Energy Management: Real-time monitoring and optimized scheduling achieve complementary coordination of electricity, heat, and cold. Intelligent management optimizes energy use.
  • Multi-Energy Collaborative Control Algorithm: Based on prediction and optimization, realize adaptive control of the grid, energy storage, and loads. Collaborative control enhances system adaptability.
  • Microgrid Autonomy and Grid-Switching: Seamless switching strategies ensure stable system operation in both islanded and grid-connected modes. Autonomy and switching capabilities improve reliability.

System Middle Layer: Energy Conversion and Optimization

  • Hybrid Converter (Hybrid PCS): Unify DC busbars to enable multi-source access for energy storage, photovoltaic, and wind power. Unified systems enhance flexibility.
  • Multi-Terminal DC Coupling Architecture: Achieve flexible complementarity between optical, storage, and thermal energy through DC coupling. Coupling improves energy integration.
  • Energy Path and Power Allocation Optimization: Dynamically allocate energy flow to reduce losses and  fluctuations. Optimization enhances efficiency.

System Bottom Layer: Intelligent Hardware Support, Equipment and Perception

  • High-Precision Measurement and Communication Interfaces: Support IEC 61850/Modbus/CAN communications for multi-source control. Precise communication ensures system coordination.
  • Energy Storage Unit Efficient Management (BMS + PCS): Accurate SOC/SOH estimation improves energy response speed and system lifespan. Efficient management optimizes performance.
  • Electrical Protection and Isolation Technology: Ensure electrical safety and fault isolation in multi-energy flow support. Protection is critical for safety.
  • Digital Twin Energy Network Model: Virtually synchronize models for predictive control and operation. Simulation aids in proactive management.

System Support Layer: Data and Cloud Collaboration, Digital Twin and Operation & Maintenance

  • Cloud-Edge Collaborative Control Platform: Combine local autonomy with cloud optimization to enhance overall operational economy. Collaboration improves efficiency.
  • Energy Efficiency Data Analysis and Prediction Algorithms: Predict loads and conditions using AI models for adaptive scheduling. Predictive analysis optimizes performance.

Table of Contents

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