Summary
The global energy sector is currently navigating a profound structural transformation driven by the imperative of decarbonisation and the ubiquitous digitalisation of grid assets [1, 2]. As power systems migrate from centralized, synchronous generation to widespread Inverter-Based
Read more Read lessResources and Distributed Energy Resources, the operational behaviour of the grid is shifting from deterministic, unidirectional flows to stochastic, bidirectional dynamics [1]. This fundamental alteration imposes unprecedented demands on the underlying telecommunications infrastructure. Legacy Time-Division Multiplexing (TDM) networks, such as Synchronous
Digital Hierarchy, while historically robust, utilize rigid bandwidth allocation and lack the statistical multiplexing capabilities required to support the bursty, high-bandwidth traffic generated by modern applications like Wide Area Monitoring Systems and synchrophasors [1, 3]. Consequently, there is an urgent technical necessity to transition to agile, Next-Generation
Packet-Based Networks without compromising the strict latency and jitter constraints essential for mission-critical grid operations [4].
The primary objective of this paper is to establish a comprehensive, scientifically validated framework for the migration of utility telecommunications from legacy TDM architectures to packet-based systems. The study aims to demonstrate that a properly architected Multiprotocol
Label Switching–Transport Profile (MPLS-TP) core, augmented by Private 5G wireless edges, can deliver the deterministic performance required for teleprotection, SCADA and IEC 61850
Generic Object-Oriented Substation Events (GOOSE) messaging [1, 3, 4, 5] while simultaneously providing the scalability needed for future grid digitalisation [6].
The research methodology is structured around three core technical pillars. First, we conducted a rigorous comparative analysis of transport protocols, selecting MPLS-TP over IP/MPLS due to its ability to support static, pre-provisioned Label Switched Paths (LSPs), thereby minimizing Packet Delay Variation and enabling deterministic behaviour [1, 3, 4]. The study evaluates Circuit Emulation Services standards—specifically Structure-Agnostic TDM over
Packet for unstructured teleprotection data and Circuit Emulation Service over Packet-Switched
Network for structured traffic—to quantify the trade-offs between bandwidth efficiency, jitter buffer sizing and absolute latency [7, 8].
Second, the study utilized extensive simulations of Wide Area Network (WAN) traffic profiles to assess the impact of network congestion on critical IEC 61850 data [5]. We implemented
Differentiated Services (DiffServ) models with strict-priority queuing for Expedited
Forwarding traffic classes, consistent with WAN engineering guidelines for power systems, to validate latency performance under saturation conditions [1]. Third, the research investigated the deployment of next-generation wireless technologies through field trials of Private 5G
Standalone architectures. We benchmarked the efficacy of 5G Network Slicing in isolating
Ultra-Reliable Low-Latency Communication traffic from enhanced Mobile Broadband data, ensuring grid control integrity and deterministic wireless performance [6].
The quantitative results indicate that an optimized MPLS-TP network can maintain end-to-end teleprotection latency below the critical 6 ms threshold, provided that jitter buffers are adaptively tuned to sub-2 ms levels, in line with protection communication requirements [1, 3].
Furthermore, the paper proposes a resilient reference architecture incorporating IEEE 1588v2
Precision Time Protocol for microsecond-level synchronization [9] and a multi-layered “Zero
Trust” security model utilizing MACsec encryption and AI-driven anomaly detection to mitigate cyber threats to digital substations and remote services [2, 10].
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | D2_10549_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | India |
| Study committees | |
| File size | 820 KB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
MAYANK* Anand - POWERGRID INDIA; ANAND Bhavya - POWERGRID INDIA; RAHMAN Shafiqur - POWERGRID INDIA; KHANDELWAL Girdhar - POWERGRID INDIA; GUPTA Sanjay Kumar - POWERGRID INDIA; DWIVEDI Dr. Yatindra - POWERGRID INDIA