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A Distributed Edge FLISR Solution & Network Simulation Test Platform

Darren Leniston, David Ryan, Ciaran Malone, Indrakshi Dey

TL;DR

This work develops a distributed-edge FLISR framework tailored to the Irish grid, leveraging edge computing and a graph-based topology representation to enhance fault location, isolation, and service restoration. A GIS-to-graph pipeline, node modelling, and a micro-service simulation platform enable centralized and edge-enabled FLISR testing across three Irish trial sites, with Go-based FLISR services and MQTT/IEC communication to emulate field conditions. Results indicate that edge-enabled FLISR can significantly reduce Customer Minutes Lost and affected customers, particularly in networks with higher fault density, while centralized FLISR performance is latency-sensitive. The study offers a practical, implementable pathway for DSOs to improve grid resilience and provides a reusable platform for ongoing industry-academic collaboration and future enhancements such as predictive analytics and weather-aware simulations.

Abstract

The energy sector is experiencing a paradigm shift with the swift adoption of distributed energy sources, renewables, electric vehicles, and an evolving consumer-utility relationship. This necessitates the strategic integration of advanced Information and Communication Technologies (ICT) and the Internet of Things (IoT) to address the emerging challenges. Grid resilience is paramount, as a dependable energy supply is the cornerstone of societal well-being and economic activity. The primary contribution of this research is to investigate the implementation of a novel grid resiliency strategy for the Irish context, employing Fault Location, Isolation and Service Restoration (FLISR) techniques in conjunction with Edge Computing. Through a comprehensive review of existing literature, original research activities, and meticulous data analysis, we aim to develop a solution that bolsters grid resilience and mitigates the impact of service disruptions for both consumers and utilities. Additionally, our work delves into the specific context of the Irish energy grid, including relevant policies and regulations, to ensure the proposed FLISR strategy is not only effective but also readily implementable.

A Distributed Edge FLISR Solution & Network Simulation Test Platform

TL;DR

This work develops a distributed-edge FLISR framework tailored to the Irish grid, leveraging edge computing and a graph-based topology representation to enhance fault location, isolation, and service restoration. A GIS-to-graph pipeline, node modelling, and a micro-service simulation platform enable centralized and edge-enabled FLISR testing across three Irish trial sites, with Go-based FLISR services and MQTT/IEC communication to emulate field conditions. Results indicate that edge-enabled FLISR can significantly reduce Customer Minutes Lost and affected customers, particularly in networks with higher fault density, while centralized FLISR performance is latency-sensitive. The study offers a practical, implementable pathway for DSOs to improve grid resilience and provides a reusable platform for ongoing industry-academic collaboration and future enhancements such as predictive analytics and weather-aware simulations.

Abstract

The energy sector is experiencing a paradigm shift with the swift adoption of distributed energy sources, renewables, electric vehicles, and an evolving consumer-utility relationship. This necessitates the strategic integration of advanced Information and Communication Technologies (ICT) and the Internet of Things (IoT) to address the emerging challenges. Grid resilience is paramount, as a dependable energy supply is the cornerstone of societal well-being and economic activity. The primary contribution of this research is to investigate the implementation of a novel grid resiliency strategy for the Irish context, employing Fault Location, Isolation and Service Restoration (FLISR) techniques in conjunction with Edge Computing. Through a comprehensive review of existing literature, original research activities, and meticulous data analysis, we aim to develop a solution that bolsters grid resilience and mitigates the impact of service disruptions for both consumers and utilities. Additionally, our work delves into the specific context of the Irish energy grid, including relevant policies and regulations, to ensure the proposed FLISR strategy is not only effective but also readily implementable.
Paper Structure (18 sections, 1 equation, 16 figures, 2 tables)

This paper contains 18 sections, 1 equation, 16 figures, 2 tables.

Figures (16)

  • Figure 1: CML figures 2016--2020
  • Figure 2: Topology data ingested in graph database
  • Figure 3: InstSection Schema
  • Figure 4: Node Schema
  • Figure 5: InstSwitches Schema
  • ...and 11 more figures