GIS for power outage management uses Geographic Information System (GIS) technology to pinpoint exactly where a fault has occurred on the electricity network, dispatch crews to the right location, and notify affected consumers in real time. For India’s power distribution companies (DISCOMs), where restoration speed is now one of several factors shaping regulatory ratings and funding eligibility, that spatial precision has become a direct line to better performance scores and fewer frustrated customer calls.
Introduction: India’s Power Reliability Push
Power outages in India used to be treated as an inevitable cost of doing business. That tolerance is disappearing fast. National System Average Interruption Duration Index (SAIDI), the average number of hours a consumer goes without power in a year, improved from 140.75 hours in FY22 to 108.37 hours in FY24. System Average Interruption Frequency Index (SAIFI) fell from 167 to roughly 138 interruptions per year over the same period.
Those national averages hide a striking divide. Delhi’s SAIDI stood at just 1.28 hours in FY24, while states like Jharkhand and Odisha still measured outages in the hundreds of hours. That gap is exactly what regulators and DISCOMs racing to close it are now targeting with GIS-based outage management. To meet these rising reliability standards, DISCOMs are increasingly adopting GIS-powered outage management systems that provide real-time visibility into their distribution networks.
What Is GIS-Based Outage Management?
GIS-based outage management uses a spatial database of every pole, transformer, feeder, and consumer connection to locate faults, generate switching orders, and manage restoration work from a single map-based system. Instead of a call center logging complaints one by one and guessing the affected area, an Outage Management System (OMS) built on GIS sees the network the way it actually exists on the ground.
This distinction matters because outage management has traditionally worked backward from symptoms. A DISCOM would only learn about a fault once enough customers called in, and would then estimate the affected zone from complaint patterns. A GIS-based OMS instead connects directly to network-monitoring systems, so the moment a device-level fault registers, the system already knows which feeder, which transformer, and which consumers are affected, often before a single complaint call comes in.
India’s DISCOM Reform Push: RDSS, AT&C Losses, and Reliability Standards
India’s distribution sector reform now runs on hard numbers, not just intent. The Revamped Distribution Sector Scheme (RDSS), approved by the Union Cabinet in 2021, with an outlay of ₹3,03,758 crore, running from FY2021-22 to FY2025-26, ties central government funding directly to DISCOM performance against pre-agreed benchmarks, including Aggregate Technical & Commercial (AT&C) losses, the ACS-ARR gap, and hours of supply.
The 12th Integrated Rating of DISCOMs, published by the Ministry of Power, rated 55 distribution utilities for FY23 and found AT&C losses had improved to 15.4 percent nationally, still short of RDSS’s 12-15 percent pan-India target, but trending in the right direction. Reliability now carries direct regulatory weight too. Under the Electricity (Rights of Consumers) Amendment Rules, 2022, state electricity regulatory commissions must set binding SAIFI and SAIDI trajectories for cities with a population of one lakh and above. Madhya Pradesh’s electricity regulator, for example, mandated in June 2024 that SAIDI for its qualifying cities fall from 90 hours in FY25 to 60 hours by FY27, with SAIFI dropping from 120 to 90 interruptions over the same period.
For a DISCOM, this means outage performance is no longer just an operational metric buried in an internal report. It directly shapes funding eligibility, regulatory standing, and public rating.
Case Study: Inside BSES Yamuna’s Intelligent Outage Management System (i-OMS)
BSES Yamuna Power Ltd. (BYPL), which distributes power across East and Central Delhi to over 16.5 lakh customers through 14 division offices, offers the clearest published example of what GIS-based outage management delivers in practice. Despite investing more than ₹6,600 crore in infrastructure upgrades, BYPL’s older Outage Management System was slow and non-predictive, and it pulled data from scattered, unsynced databases across the organization.
BYPL’s response was to build an Intelligent Outage Management System (i-OMS) on ArcGIS Enterprise, making GIS the single database that every other enterprise system, including SCADA, SAP, and ERP, now connects into.
Whenever an outage occurs in the field, SCADA registers it first. Because i-OMS is integrated with SCADA, the outage automatically appears in i-OMS and triggers an SMS to every affected consumer, informing them of the outage and the expected restoration time. Field staff receive the same alert in real time through Android-based mobile applications, closing the loop between detection and repair.
By implementing the Esri GIS solution, BYPL has transformed its working style. The organization has been able to improve the overall productivity of its network engineers by almost 20 percent.
The ArcGIS Enterprise Workflow Behind Faster Restoration
Building a unified GIS repository
BYPL’s i-OMS was developed using ArcGIS Enterprise, ArcGIS Desktop, ArcFM (a Schneider Electric solution built on Esri’s platform), and ArcGIS API for JavaScript for the web-based interface. Every enterprise system that previously ran its own disconnected database now draws from this single GIS repository, which is what eliminated the data-quality problems that plagued BYPL’s earlier system. ArcGIS Pro is the modern desktop software DISCOM GIS teams now use for the same network editing and asset data preparation work.
Modelling the network with ArcGIS Utility Network
A GIS-based OMS is only as useful as the network model underneath it. ArcGIS Utility Network lets a DISCOM model electrical connectivity down to the individual asset level, so when a fault occurs at one point, the system can immediately trace which transformers, feeders, and consumers sit downstream of it. This tracing capability is what turns a single fault report into an accurate, ready-to-act outage footprint instead of a rough estimate.
Integrating with SCADA in real time
The i-OMS integrates directly with SCADA, so fault detection happens automatically rather than through customer complaints. DISCOMs building similar systems today can use ArcGIS Velocity to stream real-time sensor and SCADA data directly into their GIS environment, which is the modern, cloud-native path to the same real-time integration BYPL achieved.
Coordinating field crews
Once a fault is located, field staff receive the alert in real time through Android-based mobile applications, letting them navigate directly to the affected asset and close out the job from the field. This removes the delay of a dispatcher relaying imprecise location details over a phone call.
Monitoring outages in real time
ArcGIS Dashboards gives control room staff and regulators a live, feeder-level view of ongoing outages and restoration progress on a single screen. A public-facing ArcGIS Hub site can carry that same outage information to consumers directly, reducing call-center load during a major event. Automated SMS alerts to consumers fire from the same GIS-triggered event that alerts field crews, so both groups act on identical, real-time information.
Scaling with authoritative reference data
Indo ArcGIS Living Atlas gives DISCOMs ready access to administrative boundaries and demographic layers, which shortens the time needed to build out a new GIS-based OMS across additional divisions or a new service territory.
Beyond BYPL: How Other Indian DISCOMs Are Adopting GIS for Outages
Reliance Infrastructure Ltd. (RInfra), which distributes more than 25 billion units of electricity to over 6.4 million consumers across Mumbai and Delhi, offers a supporting example of the same shift, though on an earlier generation of Esri’s server architecture. RInfra’s Mumbai Distribution Business replaced its legacy call-based Complaint Management System with a GIS-hosted OMS built on ArcGIS Server, the on-premise predecessor to today’s ArcGIS Enterprise.
| Aspect | Symptom-based approach (Legacy CMS) | Root-cause approach (GIS-based OMS) |
| Trigger | Customer complaint calls | Network device-level fault detection |
| Fault location | Estimated from complaint clustering | Precisely located via GIS |
| Crew dispatch | Delayed until pattern emerges | Immediate, spatially targeted |
| Planned outages | Managed manually | Executed as GIS-driven switching plans for the HT network |
The shift RInfra describes goes beyond faster fault detection. “One of the biggest benefits that has accrued from our upgrading to ArcGIS Server is the manner in which we are handling outages,” said Anand Kumar S.V., Assistant Vice President-IT, Reliance Energy Ltd. “We have been able to greatly scale the customer experience by getting to the root cause of outages quickly and fixing them in a shorter time.” RInfra’s OMS also manages the Planned Outage Process for high-tension (HT) switching, which adds a safety and transparency layer to planned maintenance work that a complaint-based system was never built to handle.
Beyond these two published case studies, the national numbers point to where GIS-based outage management is headed next. SCADA and Advanced Distribution Management System (ADMS) rollout is already underway across 15-plus states, and REC’s own RDSS reliability roadmap calls for scaling Fault Location, Isolation, and Service Restoration (FLISR) on each DISCOM’s worst-performing feeders, alongside monthly root-cause analysis on the Top-20 worst feeders per utility. This kind of feeder-level ranking and monitoring is precisely the workflow a GIS-based system is built to support, though outside BYPL and RInfra, broader DISCOM-level GIS deployment specifics remain unpublished and should be understood as a capability rather than a confirmed rollout.
Challenges and the Road Ahead
Data fragmentation still undermines new systems before they launch
Many DISCOMs, like BYPL before i-OMS, run years of accumulated asset and consumer data across disconnected departmental databases that were never designed to sync with each other. Migrating this legacy data into a clean, GIS-ready format is frequently the longest and most expensive phase of any outage management rollout, well before the more visible SCADA integration work begins.
Rooftop solar is introducing a new class of reliability risk
REC’s own RDSS briefing flags rising rooftop solar penetration as a source of voltage instability and feeder-level protection mal-operation, a risk that barely existed in most distribution networks a decade ago. DISCOMs will need to extend their GIS-based monitoring to account for distributed generation feeding back into feeders that were designed for one-directional power flow.
Terrain and connectivity slow restoration in exactly the areas that need it most
The states with the highest SAIDI figures, including Jharkhand and Odisha, tend to combine difficult terrain with limited field connectivity, which makes real-time SCADA integration and mobile crew alerts harder to sustain than in a dense urban territory like Delhi. Closing India’s state-level reliability gap will depend as much on rugged field infrastructure as on software sophistication.
Outage management increasingly overlaps with broader emergency response
Large-scale outages during cyclones or severe monsoon flooding stop being a utility-only problem and start requiring coordination with municipal and disaster response agencies, an overlap that emergency management capabilities are built to support. DISCOMs that can share a common spatial picture with city emergency operations centers during a major weather event will restore power faster and coordinate public communication more effectively than those working from siloed systems.
Digital twins point to the next stage of network visibility
Connecting an accurate network model to real-time SCADA and sensor data is the foundation of a digital twin of the distribution network, a live virtual replica that can simulate load, forecast demand, and test restoration scenarios before a crew is ever dispatched. DISCOMs that have already invested in a clean GIS network model, the same foundation an OMS depends on, are best positioned to extend that investment into a full digital twin as the technology matures.
Every hour shaved off restoration time is an hour a hospital keeps its lights on, a small business stays open, or a family avoids a night without power during a heatwave. For Indian DISCOMs, GIS has evolved from a mapping tool into critical operational infrastructure that improves reliability, accelerates restoration, supports regulatory compliance, and strengthens customer satisfaction. As RDSS funding and state-level reliability mandates tighten further through FY2025-26 and beyond, the DISCOMs that treat GIS this way, as core infrastructure rather than a reporting afterthought, will be the ones setting the pace for what reliable power looks like in India.
FAQs
1.What is GIS-based outage management?
GIS-based outage management uses a spatial database of a utility’s network assets and consumers to locate faults, generate switching orders, and coordinate restoration work from a map-based system. It replaces the older approach of estimating fault locations from customer complaint patterns.
2.How does GIS help DISCOMs cut power restoration times?
GIS connects directly to network-monitoring systems like SCADA, so a fault is located and mapped the moment it occurs rather than after enough complaint calls come in. This lets DISCOMs dispatch crews to the exact fault location immediately and automatically alert affected consumers with real-time restoration estimates.
3.What is the Revamped Distribution Sector Scheme (RDSS)?
RDSS is a Government of India scheme approved in 2021 with an outlay of ₹3,03,758 crore, running from FY2021-22 to FY2025-26, that ties central funding to DISCOM performance on metrics including AT&C losses, the ACS-ARR gap, and hours of supply. It aims to bring AT&C losses down to a pan-India range of 12-15 percent.
4.Which ArcGIS tools power outage management systems in India?
BSES Yamuna’s i-OMS runs on ArcGIS Enterprise, built alongside ArcGIS Desktop, ArcFM, and ArcGIS API for JavaScript, while Reliance Infrastructure’s earlier system used ArcGIS Server. Newer deployments can add ArcGIS Velocity for real-time data streaming and ArcGIS Dashboards for feeder-level monitoring.
5.What are the challenges DISCOMs face in adopting GIS-based OMS?
The biggest hurdle is migrating years of fragmented, disconnected legacy data into a clean, GIS-ready format before any real-time integration work can begin. DISCOMs in high-outage states also face terrain and connectivity constraints that make field-level SCADA and mobile integration harder to sustain than in dense urban territories.
Written by
Esri India Marketing
