
Smart Substation Communication System Architecture — A Strategic Framework from Hard Real-Time Monitoring to Secure Data Backhaul
Nov 13
4 min read
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Table of Contents
Introduction: The Communication Backbone of the Smart Grid Era
Overall Architecture of Smart Substation Communication Systems: Protocols and Standards
Key Communication Links and Data Flows: Real-Time Performance and Big-Data Analytics
Power Communication Network Design Principles: Deterministic and Secure
Deployment Strategy of Industrial Routers in Power Communication Systems
1. Introduction: The Communication Backbone of the Smart Grid Era
As global energy transformation accelerates, the smart grid has become the core framework for digital upgrading in the power industry. According to the ITU 2024 report, global investment in smart grids is expected to exceed USD 1 trillion by 2030, with communication infrastructure accounting for more than 35%.
Within this system, the communication network connects generation, transmission, substations, distribution, and end-users. It is the key enabling technology for bi-directional interaction and real-time optimization.
Smart substations now extend far beyond electricity conversion—they execute data acquisition, real-time monitoring, automation control, and remote backhaul. Reliable communication ensures that control centers can issue isolation commands within milliseconds, preventing large-scale outages.
However, communication systems also face challenges such as:
Electromagnetic interference and extreme weather
Explosive data growth (terabytes per day)
Increasing cyberattacks
This article provides an in-depth analysis of smart substation communication architecture—from internal control networks to external data backhaul—along with practical equipment deployment strategies and case studies.

2. Overall Architecture of Smart Substation Communication Systems: Protocols and Standards
Smart substation communication strictly follows the IEC 61850 international standard, using a layered and distributed architecture to achieve seamless communication across devices and systems.
The core structure is the “Three Layers, Two Networks” model:
Three Layers: Process Layer, Bay Layer, Station Control Layer
Two Networks: Intra-station network (real-time control) and external network (remote dispatching)
2.1 Comparison of the Three-Layer Architecture
Layer | Main Devices | Function | Communication Features | Typical Protocols | Extended Capabilities |
Process Layer | Sensors, MU, IED | Collect current, voltage, and status signals | Microsecond-level sampling, strong EMI resistance | SV, GOOSE | Time-synchronized sampling |
Bay Layer | Control units, protection devices, industrial switches | Logic execution and protection actions | Millisecond-level latency | MMS, GOOSE | Distributed protection logic |
Station Control Layer | SCADA, gateways, industrial routers | Data aggregation and remote upload | Encrypted communication, bandwidth >1 Gbps | DNP3, IEC 104 | North-south communication gateway |

2.2 Communication Media and Redundancy Design
Intra-station: Full optical fiber industrial Ethernet supporting ERPS/RSTP redundancy, switchover < 50 ms
External: Dedicated fiber lines supplemented by 5G/satellite, ensuring 99.999% availability
Advantages: Modular, highly scalableChallenges: Protocol compatibility and heterogeneous system integration
2.3 Traditional vs. Smart Substation Architecture
Dimension | Traditional | Smart | Improvements |
Data Transmission | Analog signals | Digital optical fiber | Delay reduced from seconds to milliseconds |
Device Interconnection | Point-to-point wiring | Distributed IEC 61850 network | Supports thousands of devices |
Monitoring | Manual inspection | Remote SCADA + AI | ~80% faster fault response |
Scalability | High retrofit cost | Modular + TSN/5G | IPv6-ready |
3. Key Communication Links and Data Flows
3.1 Data Flow Path
3.1.1 Data Acquisition: Primary equipment signals are digitalized by MUs into SV streams.
3.1.2 Monitoring & Control: IEDs exchange events via GOOSE; switches forward data to station control.
3.1.3 Data Upload: SCADA sends encrypted packets to the control center through industrial routers.
3.1.4 Command Execution: Dispatch center issues control commands for automated actions.
A 110 kV substation typically generates 50 GB of data per day, with 70% from real-time monitoring.

3.2 Performance Improvements
Link | Traditional | Smart Architecture | Improvement |
Acquisition | Analog signals | Digital SV streams | 1000× sampling rate |
Processing | Centralized PLC | Distributed IED + edge computing | <5 ms latency |
Transmission | Copper cables | Fiber + wireless redundancy | Bandwidth: 10 Mbps → 10 Gbps |
Analysis | Manual reports | Cloud AI analytics | >95% accuracy |
4. Power Communication Network Design Principles: Deterministic and Secure
Modern power communication design follows the 4R Principles: Reliability, Real-time, Resilience, and Security.
Principle | Traditional | Optimized Design | Effect |
Redundancy | Manual switchover | ERPS/VRRP automatic | <50 ms recovery |
Real-time | Asynchronous | TSN-based synchronization | Jitter <1 ms |
Isolation | Physical isolation | SDN virtual isolation | >99% intrusion detection |
Encryption | Simple passwords | IPSec + Quantum-safe keys | Enhanced privacy & compliance |
5. Deployment Strategy for Industrial Routers in Power Systems
Industrial routers are critical to power system communication and meet industrial-grade requirements such as wide-temperature operation, vibration resistance, and surge protection.
5.1 Key Functional Roles
Data Gateway: Supports IEC 104, MQTT, OPC UA
Communication Node: 4G/5G dual-mode
Security Features: Firewall, IDS
Edge Computing: On-board AI chips for local analysis
5.2 Deployment Scenarios
Scenario | Primary Link | Backup Link | Deployment Notes | Cost |
Urban Substation | Fiber | 5G | Dual WAN + hot standby | ¥5,000–8,000 |
Mountainous Substation | 4G/5G VPN | Satellite | High-gain antennas | ¥8,000–12,000 |
Hub Substation | 10G Fiber + TSN | Dual 5G + Fiber | SDN + AI self-healing | ¥15,000+ |

6. Communication Topology and Scheme Comparison
Topology Flow:
Process Layer → Bay Layer → Station Control → Industrial Router → Dispatch Center ↳ 5G Backup Dispatch Center → Cloud Platform
Topology Comparison
Scheme | Characteristics | Suitable Scenarios | Advantages | Disadvantages |
Ring Redundancy | Automatic rerouting | Medium/large substations | High availability | Complex setup |
Star | Centralized | Small stations | Low latency | Single-point risk |
Dual-network Isolation | Control/management split | High-security sites | Strong protection | High cost |
5G + Fiber Hybrid | Dynamic load balancing | Remote stations | Flexible | Variable bandwidth |
Mesh | Fully interconnected | Distributed energy sites | High resilience | Heavy wireless load |
7. Case Study: 110 kV Smart Substation Retrofit 📝
Project Background: Covers 50 km², over 150 devices, >95% unmanned operation.
Implementation:
Architecture: IEC 61850 + dual ring network
Security: End-to-end VPN + SIEM logs
O&M: Mobile app + AR inspection
Results
Indicator | Before | After | Improvement |
Fault switchover time | 500 ms | <50 ms | 90% faster |
Data synchronization | 95% | 99.98% | +5.3% |
Security response | 5 min | 1.5 min | +70% |
O&M cost | ¥500k/year | ¥200k/year | -60% |
8. Future Trends: 5G, TSN, and Energy Edge Computing
Trend | Current Status | Future Integration | Expected Impact |
5G | Backup networks | Private networks + slicing | >100k connections |
TSN | QoS-based | Full-stack synchronization | Microsecond control |
Edge Computing | Centralized cloud | Federated learning + on-site AI | <10 ms latency |
AI Self-Healing | Manual diagnosis | Automated risk assessment | Failure rate ↓ to 0.01% |

9. Conclusion: Smarter and Safer Power Systems
The evolution of smart substation communication architecture is not just a technological upgrade—it is a strategic safeguard for energy security.
With IEC 61850, TSN, 5G private networks, and edge computing, modern grids achieve “instant perception and autonomous recovery.”
In the future, communication systems will continue to drive the digital transformation of energy, supporting distributed energy, energy storage, and AI-based dispatching.






