A Big Data Platform to Support a Modernized Electric Grid

Transcription

1 A Big Data Platform to Support a Modernized Electric Grid Renewable Database: Integrating, sharing, and analyzing timeseries data Matt Shawver 1

2 Modernized Grid Modernized Grid: New Information Systems and Applications Utilities collecting more data to manage new technologies Utility data traditionally resides in siloed data systems Modern grid applications require multiple, diverse data types Solving this challenge using a common data integration platform, called the Renewables Database Topics: Examples of applications enabled by the Renewables Database Integrating information to enable applications Value of partnerships 2

3 HECO Analytics Applications Renewable Watch: Developed by HECO Engineers with Renewables Database Island-wide overview of renewable generation s contribution to the load curve, updated every 15 minutes Wind power generation measurements Solar from irradiance measurements and nameplates capacities Load measurements Online: Tools-and-Resources/Renewable-Watch HECO RE DB Renewable Watch 3

4 HECO Renewable Watch Renewable Watch 4

5 HECO Analytics Applications Voltage Control Analysis Summarize voltage and transformer adjustments (Load Tap Changes) to maintain voltage: Identify transformers that are working harder than others Often due to high solar penetration circuits May result in reduced transformer longevity If solar penetration increases further, could result in power quality issues Monitor situation or take corrective action 5

6 HECO Analytics Applications Monitoring Independent Power Producers (IPPs) Enabled through availability of renewable resource and power production historical data Power Purchase Agreements are based on Calculated Output Differs from Actual Output if there is a surplus and IPP is curtailed Computing Calculated Output for a wind farm: Use historical data to build power curve for wind farm What was the wind speed? Estimate Calculated Output using power curve and wind speed 6

7 Modern Grid Applications: Big and Diverse Data Offline, Customer Sites, Medium Volume Slow Rate Customer sited PV Online Consumer / Public Resource Data Phasor Data Offline, Field Sites, High Volume Very High Rate Online, External Network High Volume Medium Rate Vendor Data (Forecasts, IPPs) Large Amounts of Data from Disparate Sources Renewables Power Quality SCADA Feeder Data Online, EMS Network, High Rate Generator, Substation Power Quality Irradiance Meters Online & Offline Field Sites, High Volume High Rate 7

8 Enabling Infrastructure System Architecture 8

9 Enabling Infrastructure Renewables Database Optimized for time-series data Special purpose index Lossless data compression Backfill historical data with no penalty Built-in data analysis tools Re-sample multiple data streams to common timestamps Visualize results or analyze data in MATLAB or Excel Manage differently scaled data in the same database Synchrophasor: High rate, 100 s of sensors SCADA: Medium rate, 1000 s of sensors AMI: Low rate, 1,000,000 s of sensors 9

10 Enabling Infrastructure Easy to Administer and Secure Scalable product with simple administration Deploys on-site at customer site Minimal administration requirements Built-in Security Features Mirror filtered subsets across network boundaries Two-factor authentication Centralized System Monitoring Launch and monitor data translators and data processing 10

11 The Value of Partnerships Hawaii-based small business Working with MECO and HECO since 2009 HECO partnership has been invaluable Domain expert users Teaming and introductions Important guidance and R&D funding over the years from Pacific International Center for High Technology Research (PICHTR): Matching funds for initial projects at MECO Key Energy Excelerator / Department of Energy project helped us make the jump from Maui to Oahu