Data analysis programs grid code#

We surveyed the industry to identify areas of innovation and worked with our members to select high-priority areas for demonstrations. The first stages of the project focused on a) getting a solid understanding of the transmission landscape related to the needs and priorities of data-intensive applications and b) the capability of power companies to understand and use datasets. Transformational is the one word I would use to describe the outcomes from the EPRIДMD and TMD Big Data initiatives, and I sincerely hope you enjoy the remainder of thisДocument, which already has impacted and will continue to impact the electric powerД®PRI's Transmission Modernization Demonstration (TMD) initiative started in 2013 to help electric power companies identify, prioritize, develop, and valuate advanced data-driven tools that enhance and optimize the way the transmission grid is operated, managed, and maintained.

More on this and how the concept is foundational for an analytics center of excellence is detailed on page 38.

Data analysis programs grid code#

The Algorithm Sandbox: When we teamed the data science community with the power system experts, we found that the most impactful way to deliver data innovation is through documented and expandable data stories that include the raw code as well as the data scientist's insights regarding what worked best, what didn't work, and why certain approaches should be vetted and expanded with new contributions.The Data-Mining Initiative: Which has bridged a major industry barrier by enabling our research partners (vendors, universities, and other subject-matter experts) to leverage real power system and sensor data to solve clearly defined and valuable distribution system use cases.For example, general preparedness for big data, leveraging the cloud to host big data, leveraging smart meters for better intelligence at the edge of the grid, and leading predictive and prescriptive use cases. Concept Documents and Surveys: To understand industry benchmarks with respect to philosophies and leading practices on emergent topics.Demonstrations: Which provide members with documented deployment and cost/benefit case histories where one or more members are leveraging sensors and data sources for more effective situational intelligence.Technical Insights: Which support members with shared learnings and leading practices as they develop plans and roadmaps for 'data and analytics.'.Use Cases: That document valuable and innovative 'data-driven applications' which leverage existing distribution sensors and other integrated data sources.Overall outcomes were documented in a few key focus areas to include: The DMD initiative was by design very hands on with the member advisors, subject-matter experts, and real datasets from our member organizations. Our member organizations all recognize that innovative uses of data and analytics are key enablers for the integrated grid of the future. Load and Distributed Energy Resource Awareness.The distribution-related demonstrations and initiatives presently underway reside within the following focus areas: To better demonstrate how each attribute will play a role in a more efficient, cost-effective, and environmentally responsible power grid, we have prioritized and completed a selection of value cases and demonstration activities to help support understanding and implementation. You can read more about this five-attributes approach on pages 6 and 7 of this brochure.

These five attributes describe a grid that is more intelligent, more automated, more flexible, more predictive, and more interactive as compared to today's power-delivery system.

Toward this focus, the member advisory teams for the two initiatives collaborated with EPRI to develop a data-to-value vision that generically describes 'The Path to a Smarter Power Grid.' The premise is that the smarter grid of the future will have five data driven attributes, with each enabled by information and communications. The DMD target is distribution system sensors, datasets and use cases, while the sister initiative described on the opposite page targets transmission sensors, datasets and use cases. The Distribution Modernization Demonstration (DMD) project is one of EPRI's two parallel Big Data initiatives focused on identifying, documenting, and valuing data oriented applications and relevant support infrastructure. Data Analytics Initiatives for Transmission and Distribution