On a Mission

Drones and Robots: A Data Management Opportunity

Nov. 30, 2017
Power utilities are exploring UAVs and robotics to determine their capabilities, use cases and business cases.

Permit me the catchy headline, but let’s clarify: this op-ed focuses on unmanned aerial vehicles (UAVs), unmanned aerial systems (UASs), robotics and related data management issues. UAVs are part of UASs, as the latter term reflects UAVs’ reliance on ground-based pilots and a communications link (hence systems). The utility industry typically avoids using “drone” because of its negative connotations as a tool of war or surveillance. “Robotics” refers to intelligent machines that substitute for humans in performing difficult, dangerous or repetitive tasks. Both technologies offer utilities new capabilities for value creation, while posing data management challenges and opportunities.

Currently, power utilities are exploring UAVs and robotics to determine their capabilities, use cases and business cases. UAVs appear to be effective in asset inspection and damage assessment, particularly for high-voltage transmission lines with ample rights-of-way. Robotics are a promising technology for live-line transmission system inspections and even underwater inspections of and repairs to hydroelectric dam turbines. Both devices and their data can inform asset management programs, outage management systems and geographic information systems, to name a few established benefits. Ultimately, UAVs and robotics are simply tools that achieve fundamental business goals: improved reliability, resiliency and customer satisfaction.

UAVs and robotics generate various types of nonoperational data, including imagery from video and still photography, LiDAR, PhoDAR, infrared and chemical sensors. Power utilities are experts at handling operational data, but still need to fully exploit nonoperational data from intelligent electronic devices and new sources such as UAVs and robotics. New nonoperational data sources need to be integrated into current utility systems as seamlessly as possible and made available to all authorized personnel who can create value from them.

“Holistic data management” refers to an approach that depends on collaboration between operations technology (OT) and information technology (IT) to create an information and communications technology (ICT) foundation that embraces open architectures and standards and ensures interoperability and backwards and forwards compatibility between devices, networks and databases. All operational and enterprise units must work together to map all sensors and other data sources to end users who can create value from that data. It includes a “data mart” that pushes out key data and resulting actionable intelligence or makes data available on-demand.

The introduction of UAVs and robotics underscores the need for holistic data management and the ICT foundation to support it. Holistic data management and its technology foundation will shorten time-to-value in the adoption of UAVs and robotics and help build positive business cases for their use by widening the circle of end users who can create value from resulting data.

Meanwhile, UAV and robotics vendors may be moving faster than the power industry can keep up, extending their offerings to value-added services such as data analysis. Without a comprehensive survey of the market it isn’t possible to characterize how many vendors are using open-source architectures and standards-based data protocols. But if the power utility industry’s history is any guide, the market may well begin with a variety of proprietary solutions that fragment the market and slow the adoption curve.

In response, I’d suggest that the power industry as a whole should develop consensus on technologies, policies and standards for UAVs and robotics that provide vendors with clarity on meeting power industry requirements. This would avoid proprietary solutions that, as in the past, ultimately threaten to undercut investments, leave stranded assets and slow adoption of beneficial technologies.

I see room for optimism. Utilities are sharing their experiences in publications and conferences. The leading industry consortia — EPRI, EEI, IEEE societies, IEEE Power & Energy Society technical and coordinating committees — are assessing best practices, market offerings and automated image analysis, among other things. Efforts are afoot on supportive policies and standards.

The future always arrives faster than anticipated. Think of the “tsunami” of Big Data forecast to wash over utilities with the advent of the Internet of Things. UAVs and robotics are here now and by adopting holistic data management strategies and the ICT foundation to support them, utilities will be prepared to exploit other new nonoperational data sources. If utilities act in concert to clarify industry requirements for vendors to ease adoption, they will be better prepared for the future. ♦

An Action Plan for UAVs/Robotics

  • Build a strong grid with an ICT foundation built for future needs, before building a smart grid (requires IT/OT cooperation).
  • Ensure ICT networks have the bandwidth, throughput and speed to handle all operational and nonoperational data for the foreseeable future.
  • Pursue solutions, supported by technology, that align with business drivers and customer needs/expectations.
  • Map data from sensor to potential end user and create a “data mart” that ensures every authorized person has access to all data that creates value (requires organization-wide collaboration). 
  • If/when UAVs and/or robotics prove useful to any given utility, that organization will have the ICT foundation and holistic data management practices in place to make full use of these new sources of data and improve the business case for them.
  • The power industry should act in concert to demand that UAV and robotics vendors meet industry requirements with standard data formats and protocols to speed time to value.

John D. McDonald is a professional engineer, an IEEE Life Fellow, CIGRE U.S. National Committee vice president for technical activities, and smart grid business development leader for GE Power’s Grid Solutions business.

About the Author

John D. McDonald | SmartGrid Business Development Leader

John D. McDonald, P.E., is Smart Grid Business Development Leader for GE’s Grid Solutions business.  John has 45 years of experience in the electric utility industry. John joined GE on December 3, 2007 as General Manager, Marketing for GE Energy’s Transmission and Distribution business. In 2010 John accepted the new role of Director, Technical Strategy and Policy Development for GE Digital Energy. In January 2016 John assumed his present role with the integration of Alstom Grid and GE Digital Energy to form GE Grid Solutions.


John was elected to the Board of Governors of the IEEE-SA (Standards Association), focusing on long term IEEE Smart Grid standards strategy. John was the Chair of the Smart Grid Interoperability Panel (SGIP) Governing Board for 2010-2015 (end of 1Q) coordinating Smart Grid standards development in the US and global harmonization of the standards. John is a member of the NIST Smart Grid Advisory Committee and Chair of its Technical Subcommittee.

John is Past President of the IEEE Power & Energy Society (PES), Finance Committee Chair of the Smart Energy Consumer Collaborative (SECC) Board, the VP for Technical Activities for the US National Committee (USNC) of CIGRE, and the Past Chair of the IEEE PES Substations Committee. He was on the IEEE Board of Directors as the IEEE Division VII Director. John is a member of the Advisory Committee for the annual DistribuTECH Conference, on the Board of Directors and Executive Committee of the GridWise Alliance and Finance Chair, Vice Chair of the Texas A&M University Smart Grid Center Advisory Board, and member of the Purdue University Strategic Research Advisory Council. John received the 2009 Outstanding Electrical and Computer Engineer Award from Purdue University.

John teaches a Smart Grid course at the Georgia Institute of Technology, a Smart Grid course for GE, and substation automation, distribution SCADA and communications courses for various IEEE PES local chapters as an IEEE PES Distinguished Lecturer (since 1999). John has published 100 papers and articles in the areas of SCADA, SCADA/EMS, SCADA/DMS and communications, and is a registered Professional Engineer (Electrical) in California, Pennsylvania and Georgia.

John received his B.S.E.E. and M.S.E.E. (Power Engineering) degrees from Purdue University, and an M.B.A. (Finance) degree from the University of California-Berkeley. John is a member of Eta Kappa Nu (Electrical Engineering Honorary) and Tau Beta Pi (Engineering Honorary), a Life Fellow of IEEE (member for 48 years), and was awarded the IEEE Millennium Medal in 2000, the IEEE PES Excellence in Power Distribution Engineering Award in 2002, the IEEE PES Substations Committee Distinguished Service Award in 2003, the IEEE PES Meritorious Service Award in 2015, the 2015 CIGRE Distinguished Member Award and the 2015 CIGRE USNC Attwood Associate Award.

John has co-authored five books and has one US Patent: Automating a Distribution Cooperative from A to Z: A Primer on Employing Technology (National Rural Electric Cooperative Association – 1999); Electric Power Substations Engineering (Third Edition) (CRC Press – 2012); Power System SCADA and Smart Grids (CRC Press – 2015); Big Data Application in Power Systems (Elsevier - 2017); Smart Grids: Advanced Technologies and Solutions (Second Edition) (CRC Press – 2018); and US Patent (9,853,448) on Systems and Methods for Coordinating Electrical Network Optimization (December 26, 2017).

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