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Alectra Utilities

Alectra Utilities optimizes the maintenance of its power grid with AVEVA PI System

Alectra, an electricity distributor located north of Toronto, Canada, operated on a scheduled maintenance plan. However, the continued growth of its network of transformers and other assets made it increasingly difficult to prioritize work and prevent failures, weighing on the reliability of customer service. Deploying AVEVA PI System supported a true digital transformation, with the design and implementation of an advanced reliability-centered maintenance strategy (RCM3). The company now prioritizes repairs based on the actual condition of critical assets, significantly reducing failures that could cause power outages. The benefits are both economic and human: a problem detected on a transformer was fixed for $100,000, avoiding a $3 million replacement, while improved service reliability boosts customer satisfaction and the employee work environment.

Objectives

  • Moving from Scheduled Maintenance to Advanced Reliability-Centric Maintenance (RCM3)
  • Prioritize interventions based on the actual condition of transformers and other critical assets in the distribution system
  • Reduce outages that can cause power outages and improve customer satisfaction

Solutions

  • AVEVA PI System

Results

  • Increased reliability of power supply for customers and created a safer working environment for employees
  • Repair of a hydrogen monitor before an outage, avoiding significant replacement costs as well as power outages for customers

FAQ

How did AVEVA PI System help Alectra avoid a $3 million transformer replacement?
Alectra Utilities identified a problem on a transformer using AVEVA PI System and repaired it for $100,000, avoiding a full replacement estimated at $3 million. This early detection illustrates the power of predictive maintenance on an electricity distribution network. Operating parameters (temperature, vibration, hydrogen monitoring) are analyzed continuously, making it possible to act before a critical failure. The ROI on a single incident far exceeds the initial investment in the platform.
What is reliability-centered maintenance (RCM3) in power distribution?
RCM3 (Reliability-Centered Maintenance, version 3) is an advanced methodology that prioritizes interventions based on the actual criticality of assets and their real-time condition. Alectra Utilities moved from systematic scheduled maintenance to RCM3 thanks to the data provided by AVEVA PI System. This approach optimizes the allocation of scarce technical resources, focuses efforts on critical transformers and significantly reduces failures that could cause power outages for customers.
Why monitor hydrogen in an electrical transformer?
The presence of hydrogen in transformer oil is an early indicator of internal failure (electrical arcing, overheating). AVEVA PI System enabled Alectra Utilities to detect drift on a hydrogen monitor before complete failure, avoiding both significant replacement costs and outages for customers. This continuous monitoring, impossible with traditional scheduled maintenance, has become a standard for power grid operators focused on reliability and performance.
What impact does AVEVA have on customer satisfaction and employee safety?
For Alectra Utilities, improving power reliability with AVEVA PI System translates directly into greater customer satisfaction (fewer outages) and a safer working environment for employees (fewer emergency interventions under critical conditions). This dual operational and human benefit illustrates the value of a data-driven approach for utilities: it goes beyond simple economic optimization to become a long-term lever for quality of service and well-being at work.
How can a distribution network's maintenance strategy be digitally transformed?
Alectra Utilities' digital transformation was built around AVEVA PI System as the operational data foundation, complemented by the RCM3 methodology. This combination of technology and methodology makes it possible to move from calendar-based interventions to actions targeted at the actual condition of critical assets. Gradual deployment, team support and continuous data analysis are the key success factors. It is a replicable path for any electricity distributor looking to modernize its maintenance management.