Sector Name:Power Delivery & Utilization - Distribution & Utilization
Document Type:Technical Results
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This report summarizes a survey that was designed to capture information about the adoption and strategy of use cases in data analytics by utility companies. Utilities are seeking to improve their operations, infrastructure, and relationships with customers through analytics use cases.
Electric utilities around the world are deploying a wide range of technologies for distribution, transmission, and advanced metering systems. These new devices, applications, sensors, and monitoring capabilities are geared toward making the grid “smarter” and supporting operations, planning, and asset management. The ever-increasing amount of data resulting from these new technologies and the need for more sophisticated data analytics capabilities are presenting new opportunities as well as some challenges for the utility industry.
The survey was designed to collect information about use cases and the strategy of utility analytics at the utilities involved in the Electric Power Research Institute (EPRI) Distributed Modernization Demonstration (DMD). The objectives of the survey were to identify trends in AMI use cases adopted by utilities and to identify opportunities for sharing knowledge between members of the collaborative.
Survey responses were collected in July 2014 via an online survey tool from utility industry personnel involved in the DMD project. The survey questions were open-ended and designed to be exploratory. The survey was divided into three sections:
Characterization of the utility that each respondent represented
Overview of use cases (including implementation and determining the success of a use case)
Each utility’s strategy for analytics
All participants were volunteers representing electric utilities involved in the DMD project.
A total of seven electric utilities responded to the survey. The participants represent about half of the fifteen utilities involved in the DMD Project. The survey results provide a snapshot into the adoption of use cases associated with meter data analytics and represent some of the opportunities and challenges facing the industry.
Applications, Value, and Use
The results from this survey support two key lessons for smart meter deployment in the electric power distribution industry:
The first lesson is that sensor deployment is ultimately targeted at a system awareness objective and the sensor data will result in peripheral objectives that can be leveraged for a benefit related to the power system.
The second lesson is that AMI analytics is an introductory level activity that will change the industry in terms of how all sensor and data resources are managed and leveraged for long-term benefits. In other words, the objective is no longer to acquire, store, compress, and archive data—the new objective is to leverage every important data source for aggregate insights.
This survey was not all encompassing, but it will inform members about the current state of analytics projects within the industry.
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