IEE and Microsoft SQL

Transcription

1 IEE and Microsoft SQL Amit Grover, IT Business Solution Manager Daniel Lizano, IT Business Solution Group Manager Ray King, Microsoft Industry Solutions Organization

2 Business Value for Power & Utility Companies WW Power & Utilities industry vision and value proposition Working with our product teams to meet industry needs Industry Managers and Directors, Account Teams, Solutions Specialists and Partner Managers Support for Industry Standards

3 Solar Wind Nuclear & Desalinization Plant Offshore Wind Hydro Power Low Emission Power Plant Tidal Buoys Biomass Control Center Commercial Offices & Storefronts Microgrid Microgrid Power Substation Parking Facility with PHEV Recharge Outlets Photovoltaic's Microgrid H2 Filling Station Manufacturing Plant (High Consumption) Electricity Micro Storage Fuel Cells Thermal Storage Compressed H2 Storage CO 2 Storage SMES

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5 Pulling It Together: Real-World Benchmark Replicate 5- and 10-million meter utility Mix of residential and C&I meters Day-in-the-Life test scenarios Import, validation, calculation, export Time-of-Use pricing Summation and aggregation for new applications and programs Demand response Customer presentment Analytics Standard commodity hardware

6 The Results. Meter-to-cash process in under 4 hours A best run imported and validated of 10- million meters in under 2 hours Billing determinant calculation and export in less than 2 hours The Numbers. Determinant calculations averaged 70 customers/sec Peak import speed of 47,500 readings/sec Average import speed of 37,466 reads/sec The results of the testing overwhelmingly confirmed that IEE MDM is a highly scalable system, capable of supporting over 10-million meters on a SQL Server database.

7 Itron & Microsoft in Smart Metering Utility Operational and Back-Office Systems IEE Meter Data Management IEE Customer Care Suite IEE Curtailment Manager Itron Enterprise Edition Platform Database and Shared Tools IEE Revenue Protection Suite Microsoft SQL Server Handheld / AMR Solutions C&I Meter and Collection Systems Data Collection Systems AMI AMI

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9 Smart Metering Meter Data Management Customer Business Challenge 4.6m electric customers 120m interval reads and 5m billing register reads daily On-line data retention requirement for 13 months Theft analysis and lead generation based on 5m end points Web access to 50k concurrent users Solution FP&L has implemented Itron s IEE MDM on Windows & SQL Server Currently executing plan to deploy 4.6 m smart meters (~ 1m meters are being supported on the MDM system) Highly scalable - manage large data volumes Large scale disaster recovery capabilities High availability - minimize downtime Customer Results/Benefits Support advanced & dynamic metering & billing objectives More reliable electric service Improved power restoration efforts Upgraded system will: Lower TCO Decrease complexity and support requirementsminimal tuning

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11 Visit us on the internet at: Visit our Blog at: Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

12 FPL is the largest utility in Florida Jacksonville 4.6 million electric customers ~27,000 sq. miles of service territory Tampa Investing to maintain reliability and meet growth Committed to meeting the growing power needs of our current and future customers Ft. Lauderdale Miami 80% of customers are residential consuming ~50% of electricity Reliability much better than national average 12

13 AMI / IEE Business Benefits Utilizing previous day reads for billing Utilizing AMI read for non certified AMI routes / PWQ Utilizing AMI reads for Service Order SA/LS Accurate estimation utilizing current month reads outside billing range Ease of integration - Addition of new functionality New customer types (e.g. Demand meters, Net Meters) Reduced impact to CIS (Build intelligence on IEE) Experimental Rates Utilizing AMI reads for high bill and customer self service FPL Backoffice Systems Use of AMI data for Storm estimation Future use of AMI data for RCS and HAN Currently reviewing AMI BPD efforts for future Business Case opportunities 13

14 MDM at FPL today Selected MDM vendor and platform in 2005, Implemented 1Q 2006 Upgraded to IEE 7.0 SP3 in April 2011, current platform sized for 3M Meters Currently configured ~2.4 M AMI premises Web service integration to mainframe CIS and AMI Network for Billing and meter installs. Accommodates off cycle and monthly billing. Add / Change / Remove Premise Add / Change / Remove Routes Set / Correct Meter Customer Billing Cycle Day Management Functions Meter Data Management Interval Reads Billing Reads Off cycle / Adhoc Reads 14

15 15 Current State Logical Diagram

16 MDM Production Landscape using Microsoft SQL Server Production Environment AMI SAN(GO) IEE Application Servers(PROD) IEE Database Servers(GO) SAN(GO) SQL CLUSTER (ACTIVE/PASSIVE) Silver Springs Network Load Management System IEE Data Folders SAN Specifications Storage: 200GB IEE Application Server1 w/ Web Services IEE Application Server2 w/ Web Services Active Passive IEE Database Server Specifications CPU CORES: 16 Clock Speed: 3.0 GHz RAM: 64 GB Local Storage: 140GB OS: Windows Server 2003 Datacenter Edition(64 Bit) LOG SHIPPING ItronEE (Primary) Storage Requirements SQL Partitioning-YES Reading Table Partitioned 4 times per month(8 days per partition) 2TB Per Year Web Service Clients Network Load IEE Application Server3 w/ Web Services IEE Database Servers(JB) SQL CLUSTER (ACTIVE/PASSIVE) SAN(JB) EAI IEE Application Server4 w/ Web Services Active ItronEE (Backup) Customer Pages Network Load Balancer IEE Application Servers Specifications CPU CORES: 4 Clock Speed: +3.0 GHz RAM: 16 GB Local Storage: 40GB OS: Windows Server 2003 Enterprise Edition(32 Bit) Passive CPU CORES: 16 Clock Speed: 3.0 GHz RAM: 64 GB Local Storage: 140GB OS: Windows Server 2003 Datacenter Edition(64 Bit) Storage Requirements SQL Partitioning-YES Reading Table Partitioned 4 times per month(8 days per partition) 2TB GB Per Year 16

17 MDM Volumetrics Process and Deliver AMI reads for on-cycle billing 225,000 daily billing reads expected in the near term (2013) Off cycle reads order completion nightly 120m interval reads daily Data Retention for 13 months Daily read, hourly intervals, flags for 5 million endpoints Theft analysis and lead generation based on 5m end points Web access to 50k concurrent users Near Term MDM Functionality VEE fill the gaps (dependent on AMI) Planned for 2012 Determinants to support TOU/CPP using formula channels Implemented DPR Interface to Data Warehouse for billing analytics 17

18 Current SQL Server Environment at FPL MS SQL Server 2008 R2 Enterprise Edition Implemented May node Cluster Server 4 Quad Cores (16 Logical CPUs) 128 GB RAM on each DR environment is same as Production Current DB size 1.4 TB with 31 months of Readings (Total storage allocation is 3 TB) Performance Temp DB has now been moved to EMC FAST (Fully automated storage Tier) 200GB allocation, 100 GB in use Database is split into 4 RAID 10 Volumes Transaction logs on a separate Volume 4 RAID 5 Volumes to host aging data Table Partitioning implemented in 1Q 2011 Weekly partitions for Reading table 18

19 Current SQL Environment and Recover Point Data Replication using Recover Point EMC Solution for data replication and disaster recovery RAID s are kept in sync FPL is using Async methodology DR environment is approx. 1 Min behind Prod Volumes are kept in un-mounted state on DR Recover point front end used to mount and maintain volumes Options to failover to older image or point in time Current Journal size is 1 TB 1 day of roll back Solution is storage intensive and not cheap 19

20 Current SQL Server Environment at FPL Critical tasks - Current Processing times Task Approx. time of execution Average Duration ARI Import (Interval / Register Reads 3:00 PM 4 Hours Integrator Billing Import Early AM 6 Mins ABE Import Early AM 23 Mins Service Order 10:00 PM 10 Mins Reconciliation Report Midnight 1 hour SRI Import 1:15 PM 21 Mins AMI Billing Rate Calculation 2:00 PM 14 Mins AMI Billing Export 2:20 PM 11 Mins Integrator ABE Export 2:35 PM 2 Mins 20

21 Current SQL Environment and Recover Point Future Plan Plan to move all DB files to EMC FAST Working with Itron to better manage the data growth Partitioning of additional tables Routine purging 4 Hourly Interval / Register reading export from UIQ to IEE Solution to process EAI messages with 4 application servers 21

22 Contact Information: Daniel Lizano Florida Power and Light IT Business Solutions Group Manager Phone: Amit Grover Florida Power and Light IT Business Solutions Manager Phone: Ray King Utility Industry Solutions Microsoft Corporation Phone: