Energy Management System
System Topology Diagram
Energy Management System (EMS) - Product Overview
The EMS integrates computer technology, IoT, industrial automation, communications, and cloud computing into an intelligent platform for energy dispatch, efficiency analysis, and management.
Using ground-network communication, the system collects comprehensive data from energy storage stations and uploads it to the cloud. Advanced data analytics combined with web-based monitoring enable real-time supervision, early warning, intelligent dispatch, and O&M management, ensuring optimal equipment performance. The EMS also supports microgrid systems with distributed generation (e.g., solar PV) and energy storage, enhancing operational efficiency and profitability while maximizing the low-carbon, cost-saving benefits of renewable energy.
By dynamically analyzing grid conditions and external demands, the EMS implements adaptive control strategies. Its distributed energy optimization technology ensures efficient utilization of renewable power, further strengthening the economic and environmental advantages of microgrids.
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System Features
✔ User-Friendly Interface – Intuitive HMI for seamless operation
✔ 24/7 Real-Time Monitoring – Continuous oversight of system performance
✔ Instant Alarm Response – Rapid alerts for critical events
✔ Comprehensive SCADA – Advanced data acquisition and control capabilities
✔ Grid Dispatch Integration – Supports charge/discharge commands from utility operators
✔ Seamless BMS/PCS Communication – Ensures smooth data exchange with critical components
✔ AI-Driven Load Management – Enables peak shaving, valley filling, and demand charge reduction
Optimize your energy assets with smart, automated control—maximizing efficiency and ROI.
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Here's the professional translation in a structured table format:
Energy Management System Functional Specifications
|
Function |
Description |
|
Data Acquisition & Monitoring |
Real-time collection and processing of analog/digital signals from PCS, BMS, transformer protection devices, etc. Displays live values, historical statistics, trends, and alarms on HMI, with data storage to historical servers. |
|
Energy Dispatch |
Formulates optimal dispatch strategies based on comprehensive energy usage patterns and economic factors, enabling remote intelligent scheduling to enhance plant efficiency. |
|
SOC Autonomous Maintenance |
Continuously monitors battery SOC and charge/discharge power. Maintains optimal SOC range during idle periods to ensure immediate readiness. |
|
Load Smoothing |
• Generation-side: Stabilizes renewable output fluctuations through controlled battery cycling |
|
• Grid-side: Regulates network power flow via adaptive charge/discharge |
|
|
• User-side: Implements peak shaving/valley filling for demand profile optimization |
|
|
Time-of-Use Optimization |
Implements differentiated charge/discharge strategies across tariff periods to maximize arbitrage profits from peak-valley price differentials. |
|
Power Allocation Control |
In grid-tied mode, distributes dispatch commands to distributed resources based on real-time SOC, SOH, operating status, and alarm conditions. |
|
Data Analytics |
Applies composite energy indices and algorithms to track daily charge/discharge volumes and revenues. Provides real-time alarm push notifications with comprehensive historical fault logging and data export capabilities. |
|
Access Control |
Role-based user permission system (e.g., system administrators, operators) ensuring secure plant operation management. |
Key Features:
- Multi-layer data architecture (RTU → SCADA → Cloud)
- Adaptive smoothing algorithms (moving average/LPF applied)
- Dynamic tariff policy engine
- IEC 61850-compliant command routing
- Audit-trail enabled operation logs
Note: All timing-sensitive functions guarantee ≤200ms latency for critical control loops. Would you like me to elaborate on any specific functional module?
- Real-time monitoring, predictive maintenance (99% fault warning accuracy).
- Supports multi-energy coordination (PV/wind/storage).
