Delta-X Research at the IEEE Rural Electric Power Conference 2026

Delta-X Research is attending the IEEE Rural Electric Power Conference (REPC) [1], with Marketing Director Sean Casey on site to meet with rural and municipal utility engineers and asset managers. The IEEE REPC is one of the most technically focused conferences dedicated to the challenges of power delivery and asset management in rural and small-utility environments, an audience that sits squarely at the heart of Delta-X Research's mission.

The IEEE Rural Electric Power Conference

The IEEE Rural Electric Power Conference [1], organised by the IEEE Power & Energy Society, is an annual event drawing engineers and technical professionals from rural electric cooperatives, municipal utilities, public power districts, and the engineering firms and vendors that serve them. The conference covers power system protection, distribution system design, transformer and substation equipment, voltage regulation, and reliability, with an emphasis on the practical realities of operating under the constraints common to smaller utility organisations.

For the engineers who attend, the REPC is valuable precisely because it is oriented toward their specific context. The asset management challenges facing a rural cooperative with 200 transformers across a 10,000 km² service territory are different from those facing a large investor-owned utility with a dedicated transformer engineering group. The engineering solutions, standards, and tools need to fit that context, including the staffing levels, budget constraints, and regulatory environment that define how rural utilities operate.

The Transformer Challenge for Rural and Municipal Utilities

Rural and municipal utilities face the transformer ageing problem in its most concentrated form. Much of the distribution and sub-transmission infrastructure serving rural America was constructed in the post-war electrification era, and a large proportion of the transformer fleet is approaching or has already exceeded its original design life [2]. Replacement lead times for medium and large power transformers have extended significantly in recent years, driven by supply chain constraints and manufacturing capacity limitations, making early fault detection more critical, not less.

Against this backdrop, dissolved gas analysis remains the most informative and cost-effective indicator of incipient transformer faults. IEEE C57.104-2019 [3] provides the standard interpretation framework, and its key thresholds are widely used. However, the guide itself acknowledges limitations in threshold-based interpretation when applied without population-level context [3]. Research by Dukarm et al. has demonstrated that conventional DGA indicators, including the key gas limits and ratio methods, produce both false alarms and missed detections at rates that are problematic for fleet-scale decision-making [4].

For rural utilities, false alarms carry a particular cost. An unnecessary service interruption or emergency maintenance action on a remote substation transformer involves not only the direct cost of the intervention, but potentially significant crew travel, contractor mobilisation, and lost service reliability for customers with limited alternative supply options.

How TOA and R-DGA Address the Rural Utility Context

Transformer Oil Analyst™ (TOA) is designed to make Reliability-based DGA [4] accessible to utility engineers who are not specialist DGA experts. The platform automates the computation of CSEV (Cumulative Severity) and HF (Hazard Factor) metrics from imported laboratory results, presents ranked fleet risk assessments that update with each new data import, and supports the full range of insulating oil test parameters, including dissolved gas, moisture, acidity, dielectric strength, and furanic compounds, within a single database.

For a rural utility engineer managing DGA on a fleet of hundreds of transformers alongside a full workload of protection, reliability, and capital planning responsibilities, this means:

• Automatic prioritisation: CSEV and HF provide a ranked list of units requiring attention without requiring manual interpretation of each DGA report against IEEE C57.104-2019 concentration limits [3].
• Historical context: Because TOA maintains a full gas history for each transformer, trend analysis is automatic. Rate-of-change patterns and cumulative severity progression are visible without manual spreadsheet construction.
• Defensible documentation: The R-DGA methodology is grounded in published, peer-reviewed research [4], providing a documented basis for maintenance decisions that can be presented to management, boards, or regulators.
• Multi-test integration: A complete transformer condition assessment involves more than DGA alone [5]. TOA supports the full suite of insulating oil parameters, enabling a more comprehensive asset health picture from a single system.

Meet Sean at the Conference

Sean Casey is at the IEEE Rural Electric Power Conference throughout the event and is available to discuss transformer health programmes, TOA implementation for smaller fleet sizes, and how R-DGA methodology applies to the rural utility context specifically.

If your utility is currently using spreadsheets or basic reporting tools for DGA management and is looking for a more systematic approach, or if you are evaluating online monitoring for critical assets, stop by to talk with Sean.

To connect directly or schedule a conversation, reach out via LinkedIn or through the contact page.

For technical background on Reliability-based DGA and how CIGRE Technical Brochure 761 [6] frames transformer condition assessment methodology, visit the Science page and Learn page.