Proving the Business Case for the Internet of Things

Autogrid updates energy data platform to give utilities better information

Steve Rogerson
April 16, 2015
 
Autogrid Systems has launched the third version of its EDP energy data platform, which provides utilities with a dynamic, real-time portrait of their power systems and connected assets. EDP 3.0 includes applications for customer engagement, grid operation and revenue assurance and has expanded its core tools, platform services, analytics, big data and data science capabilities.
 
These applications and improvements should help utilities use their smart grid and other data to improve customer engagement, enhance grid reliability and increase profitability.
 
“Software solutions and analytics that drive new forms of digital engagement with customers, support new types of business initiatives, and make grid operations more efficient and reliable are critical for energy service providers, and we are partnering with our clients to deliver these types of big data applications,” said Raj Pai, global head of products for the California-based company.
 
Germany-based power and gas company E.On will be among the first utility service providers to deploy EDP 3.0.
 
“The new applications and enhancements in the EDP 3.0 platform will help us strengthen relationships with our customers, enhance our understanding of the real-time state of our electric grids, and deploy energy intelligence solutions,” said Susana Quintana-Plaza, senior vice president at E.On. “We expect EDP 3.0 to play an important role in our company’s efforts to address the challenges and take advantage of the opportunities in today’s global electricity market.”
 
EDP 3.0’s enhancements include applications for customer engagement, predictive asset maintenance and revenue assurance added to EDP’s existing suite of applications for demand response, software defined power plants and real-time distribution level forecasting.
 
There is expanded support for forecasting, optimisation, classification, pattern recognition and other data science algorithms that use large amounts of fast streaming data from connected grid assets to solve energy industry problems.
 
Also added is a fast and scalable real-time data platform capable of ingesting more than 500 million data records per minute and generating over 100 million forecasts per day on a medium size computer cluster.
 
Expanded support is included for two-way connectivity standards, including Open ADR2.0a/b, Smart Energy Profile 2.0 and other advanced metering infrastructure network protocols, as well as wholesale market interfaces such as Ercot and Caiso. The release also supports various energy internet devices such as smart thermostats, connected lighting, HVAC, electric vehicles and EV chargers, energy storage systems, solar power inverters, and other IoT assets.
 
Integrated rules and workflow engines let users configure and deploy applications. Enhanced visualisation capabilities are available through integration with third party frameworks. There is expanded support for deployment on private clouds and data centres, and for demand response initiatives driven by critical peak pricing, direct load control or bring-your-own-thermostat utility mandates.
 
Improvements to the EDP 3.0 data model will enable utilities to perform fast real-time, geo-spatial and temporal queries, conduct complex what-if analysis, and implement real-time predictive control of connected assets. These capabilities provide utilities with the dispatch grade intelligence they need to respond quickly to external events, make better operating and maintenance decisions, initiate real-time predictive control actions, and gain insight into customer behaviour and grid performance.