Microgrid System
Source-grid-load-storage coordination, PV-storage-charging integration, park energy smart control.
Source-grid-load-storage coordination, PV-storage-charging integration, park energy smart control.
Source-grid-load-storage coordination, PV-storage-charging integration, park energy smart control. Built on edge computing and AI forecasting, it forms a closed loop of generation forecasting, load forecasting, power-flow visualization and strategy optimization for park-level microgrids.
Industry Pain Points
Complex Distributed-Energy Access Management
Distributed energy such as PV and wind has many access points with varied protocols; inverter and generation data are hard to collect uniformly, there is no global energy situational awareness, and grid-connection power fluctuations are uncontrollable.
Storage Strategies Lack Data Support
Storage charging/discharging relies on manually fixed time slots, disconnected from generation forecasts and load curves, leading to low storage utilization, faster battery degradation and unrealized economic value.
Large Charging-Pile Load Impact
High-power random charging loads impact the park distribution network, causing transformer overload and voltage fluctuations; conventional distribution systems lack dynamic regulation for charging peaks.
Low Park Energy Efficiency
Source, grid, load and storage operate separately without a unified energy-management system; power flow is invisible and no efficiency baseline exists, causing serious waste and high carbon intensity.
Solution Architecture
Layered architecture, a complete data loop from sensing to operation.
Core Capabilities
PV-Storage-Charging Management
Unified management of PV generation, storage charging/discharging and charging-pile loads, automatically coordinating the three from generation forecasts and load demand to maximize PV self-consumption and reduce grid dependence.
Source-Grid-Load-Storage Coordination
Real-time sensing of source (PV/wind), grid (distribution), load and storage status; the AI engine dynamically coordinates power allocation to guarantee supply-demand balance and supply security.
Edge Control
CW gateways and CC PLCs form the edge-control layer with millisecond response to grid events, enabling island detection, on/off-grid switching and local power regulation for supply continuity under extreme conditions.
Power-Flow Visualization
Real-time display of power flow direction and magnitude at every park node - PV generation, storage charging/discharging, charging-pile consumption and loads - providing intuitive data support for O&M decisions.
Strategy Optimization
The AI engine automatically generates optimal operation strategies from weather forecasts, tariff signals and historical load data, maximizing economic returns and renewable absorption while ensuring reliable supply.
Supply Assurance
Seamless on/off-grid switching, storage reserve-capacity management and priority supply for critical loads keep important park equipment running during grid faults, with 99.99% supply reliability.
Data Loop
The complete data value chain: sense -> data -> AI -> warning -> control -> operation.
Product Portfolio
CW Edge Computing Gateway
CW Series
100+ protocol acquisition, 4G/Wi-Fi/Ethernet cloud uplink, edge computing and rule engine, aggregating inverter, BMS and charging-pile data with local fast control.
CC Programmable Controller
CC Series
PLC logic control with on/off-grid switching, power regulation and protection-logic programming, responding to grid events in milliseconds to keep the microgrid safe and stable.
ESA Full-Factor Smart Meter
ESA-1001-R / 1002-R / 1003-R
Synchronous capture of voltage, current, power and harmonics, 256 samples/cycle, providing precise data for microgrid power-flow analysis and energy management.
FEXLINK Industrial Internet Platform
V1.0
The core microgrid EMS with device monitoring, power-flow visualization, alarm linkage and remote O&M, supporting park-level source-grid-load-storage coordination and strategy optimization.
Customer Value
Quantified, verifiable customer value.
Higher Renewable Absorption
PV-storage coordinated dispatch and load matching raise PV self-consumption above 80%, sharply reducing curtailment and improving distributed-energy returns.
Lower Energy Cost
Peak-valley arbitrage, demand management and orderly charging cut overall energy costs by 15-25% and significantly shorten storage payback.
Higher Supply Reliability
Seamless on/off-grid switching and storage backup give critical loads 99.99% reliability, keeping core park equipment running during grid faults.
Lower Park Carbon
Prioritizing clean energy and reducing fossil-fuel dependence significantly lowers park carbon intensity, supporting zero-carbon-park certification and ESG goals.
Related Solutions
Virtual Power Plant
Load aggregation, demand response, storage dispatch and carbon-efficiency linkage
Digital Energy
Energy supervision, efficiency analysis, energy-saving strategy optimization
Carbon Assets & Zero-Carbon Park
Carbon accounting, carbon-asset management, park energy governance
Related Industry Verticals
Edge Computing Gateway & Industrial Control
Edge computing gateways and industrial control systems are the core foundation of industrial IoT data acquisition and local control. The CW series edge computing gateway supports acquisition over 100+ industrial protocols and multi-channel cloud connectivity via 4G/Wi-Fi/Ethernet, while the CC series programmable controller and CR/ESX distributed I/O deliver millisecond-level logic control and expansion capability. Together with FECB smart circuit breakers and other control terminals, they close the loop at the edge across sensing, acquisition, computing, control, and cloud upload.
Virtual Power Plant & Microgrid System
The virtual power plant (VPP) and microgrid system is an intelligent energy control system that aggregates, optimizes, and coordinates dispersed resources such as distributed PV, energy storage, charging stations, and adjustable loads. The VPP focuses on load aggregation and demand response participation in electricity market trading, while the microgrid focuses on source-grid-load-storage coordination and power supply reliability within a campus. Both share a four-layer sensing-edge-platform-AI technical architecture, delivered through a hardware combination of FECB smart circuit breakers, ESA smart meters, CW edge gateways, and CC programmable controllers.
FAQ
Start Microgrid System Journey
Contact us for detailed solutions, quotes and technical support.