Panel Discussion. Doug Taylor. Presented by. Copyright 2011 OSIsoft, LLC.

Transcription

1

2 Panel Discussion Presented by Doug Taylor

3 Back in the day No access to data 3 rd party SCA systems Manufacturer s SCA OPC access to data IEC Standards 3

4 Direct to Controller Dozens of tags becomes hundreds of tags, thousands of tags 4

5 The Panelist: Scott Marion Anthony Germain Sumanth Makunur Richard Freeman Rick Duesing 5

6 Scott Marion Edison Mission Group Presented by 6

7 Scott Marion Sr. Analyst Real Time Applications Boston, MA Independent Power Producer / Energy Trading PJM / ERCOT Markets (7) Fossil Plants (9) Wind Farms Total Capacity of,74 MW 7

8 Plans for Direct to Controller Integration Fits Nicely into our Future PI System Architecture Large Local Data Collection / Visualization Not Bound By OEM Provided Data Points Increased Real-Time Monitoring via the PI System Further Enables Predictive Monitoring Early Warning of Turbine Issues Creation of Fault Specific Trends / Predictive Models 8

9 Business Value of Direct to Controller Integration Local - Site Personnel Ability to View / Trend Data Previously Not Available Ease Transition from OEM to Site Personnel Remote 4/7 Wind Operations Desk Real-Time Monitoring Through a Single Interface Expansion of Engineering & Analytic Roles as more Wind Farms come off of OEM Agreements 9

10 Future Plans and Next Steps Complete upgraded PI System Architecture Rollout Evaluate What Others Have Accomplished with Direct Controller Integration Seek Benefits in Support of our expanding 4/7 Wind Operations Desk 0

11 Anthony Germain EDF-EN Presented by

12 EDF EN : a multi-segment player Main growth drivers Wind Power Solar Power 85% of the total installed capacity Goal : 500MWp installed by the end of 0 Promising markets Distributed energies Biomass Biogaz Marine energies Offshore Selective investments for ensuring future

13 An international player : 343 MW installed in 3 countries United States Wind Solar Biogaz 07 MW Mexico Wind 68 MW North America 44 MW Canada Wind Solar 59 MW United Kingdom Wind 7 MW France Wind - Solar Biogas - Hydro Cogen. / Thermal 593 MW Portugal Wind 496 MW Belgium Wind offshore Biogas 30.0 MW Spain Solar - Biomass 6 MW Italy Wind - Solar 456 MW Germany Wind 8 MW Greece Wind - Solar 57 MW Europe 79 MW Bulgaria Hydro 3 MW Turkey Wind 8 MW 3

14 PI System : a central tool to monitor our assets PI Data Link: internal reporting PI OPC PC Vue: Third party visualization software PI Process Book: Central PI Server PI to PI Local PI server OPC/Modbus interfaces performance analysis and fault detection Sharepoint: To publish views and reports to wind/solar farm owners 4 4 4

15 Direct to controller integration -Not implemented yet, we are gathering data from SCAs through various interfaces -First attempt will be with Bachman controllers through the IEC protocol but still there is a manufacturer over layer presenting limitation 5 5

16 Direct to controller integration - Pros Accessing the entire set of data Accessing and modifying the parameters Sending commands to the controller Direct Access, no need of a third party software to gather data (often expensive) better data covering rate We could completely integrate our assets into PI System without having to use legacy SCAs (to send commands or change parameters) 6 6

17 Direct to controller integration - Cons Protocol used by the controllers, is a native PI System interface available? Manufacturer warranty? Are the manufacturers willing to give full access to the controllers? 7 7

18 Future Plans and Next Steps Test the IEC protocol with the Bachman controllers 8

19 Sumanth Makunur DTE Energy Presented by 9

20 About DTE Energy - Detroit Edison DTE Energy Co. 0 th largest electric utility & th largest gas utility $8.6 billion revenue 9,800 Employees Investing $ billion in biomass, solar, wind and other renewable sources Detroit Edison Michigan s largest electric utility with. million customers Over,080 MW of power generation, primarily coal fired 0

21 DTE Energy Renewable Portfolio Wind Generation is the major contributor to the portfolio, Solar and other Bio-Fuels part of the mix. Plans are underway to meet Fed / Michigan mandated renewable generation targets. Several Wind Farms are anywhere between planning to construction phases DTE owned assets & PPA s to generate ~ 000 MW by 05.

22 Fossil Generation Process Controls & Technology Actionable Information KPI s Fleet Optimization Business Intelligence Process Cost, Asset Health, Reliability PI System tools, Maximo, NeuCo, UCF Discrete data Limited value Expert Systems System Dashboards Web Visualization Engineering Application Large Population of Data Predictive Monitoring, Optimization Fleet Status Assessment Plant Alarm, DCS graphic PMAX, DFTS DCS, PLC, PI System

23 Challenges / Plans Implement the Technology Framework on Renewable Assets. Data Acquisition OPC Vs Direct-to-Controller Vibration Monitoring Instrumentation Equipment Condition Monitoring Data Management Issues 3

24 Richard Freeman Iberdrola Presented by 4

25 Iberdrola Renewables My Role - Director, Wind Operations Systems Responsible for data & control of 3444 WTG s GE, Gamesa, Suzlon, MHI, Vestas, Siemens Iberdrola Renewables (IRI), Implemented an enterprise SCA system in 00 National Control Center Dispatch & Control Staff of 5; Control Engineers, PI Admin(s), PM s, Metering/data, SCA Engineers/Techs, NERC CIPs. 5

26 Current Data Structure - Typical FAULT x RS0 +4V (P) IP ADDRESS P Stand by Stand by 00:63:80:xx:yy:zz USB V.4 0V ON 0V 3 4 FAULT +4V (P) IP ADDRESS FAULT x RS0 +4V (P) P Stand by Stand by 00:63:80:xx:yy:zz USB V.4 0V ON 0V 3 4 FAULT +4V (P) IP ADDRESS FAULT x RS0 +4V (P) P Stand by Stand by 00:63:80:xx:yy:zz USB V.4 0V ON 0V 3 4 FAULT +4V (P) x IP ADDRESS 00:63:80:xx:yy:zz 3 4 P Stand by 5 6 Stand by FAULT +4V(P) 0V 0V USB V.4 ON +4V(P) FAULT RS x IP ADDRESS 00:63:80:xx:yy:zz 3 4 P Stand by 5 6 Stand by FAULT +4V(P) 0V 0V USB V.4 ON +4V(P) FAULT RS IP ADDRESS FAULT x RS0 +4V (P) P Stand by Stand by 00:63:80:xx:yy:zz USB V.4 0V ON 0V 3 4 FAULT +4V (P) MP OPC HMI SCA A SCA B Vendor SCA PI INT PI INT PI Collective Turbine n Turbine n+ Turbine n+ Substation Managed Switch Managed Switch Managed Switch Managed Switch OPC PC OPC PC OPC PC Other IED s PLC PLC PLC Substation Controller 6

27 Distributed / Direct Data Structure - Typical FAULT x RS0 +4V (P) IP ADDRESS P Stand by Stand by 00:63:80:xx:yy:zz USB V.4 0V ON 0V 3 4 FAULT +4V (P) FAULT x RS0 +4V (P) IP ADDRESS P Stand by Stand by 00:63:80:xx:yy:zz USB V.4 0V ON 0V 3 4 FAULT +4V (P) FAULT x RS0 +4V (P) IP ADDRESS P Stand by Stand by 00:63:80:xx:yy:zz USB V.4 0V ON 0V 3 4 FAULT +4V (P) x x IP ADDRESS IP ADDRESS 00:63:80:xx:yy:zz 00:63:80:xx:yy:zz P Stand by 5 6 Stand by P Stand by 5 6 Stand by FAULT +4V(P) 0V 0V USB FAULT +4V(P) 0V 0V USB V.4 V.4 ON ON +4V(P) FAULT +4V(P) FAULT RS RS IP ADDRESS FAULT x RS0 +4V (P) P Stand by Stand by 00:63:80:xx:yy:zz USB V.4 0V ON 0V 3 4 FAULT +4V (P) MP HMI SCA A SCA B PI INT? Turbine n Turbine n+ Turbine n+ Substation Managed Switch Managed Switch Managed Switch Managed Switch OPC / IEC6850 OPC / IEC6850 OPC / IEC6850 Other IED s PLC PLC PLC Substation Controller 7

28 Standard Variable Interface (SVI) 8

29 Opinion: Pros/Cons Removed layer of complexity - Proprietary nature of Vendor SCA removed for increased availability. Lower maintenance, hardware, configuration, OPC tuning. Increased ability to control power, voltage, fault diagnostics. No communications delays, direct interaction with turbine controller. Data path is distributed SCA has Alarm & Control PI System has historical Data Acquisition 9

30 Opinion: Pros/Cons Turbine Variable Mapping Alarm handling / Subscription vs polling Security Need to control network access Development Need Controller buffering and control of QA/QC commissioning May limit access to Hi Resolution data from faults due to proprietary system - Challenge 30

31 Rick Duesing Suzlon Presented by 3

32 Global wind turbine manufacturer Based in Pune, India (est. 995) 3 rd Largest OEM in the world Suzlon and REpower combine for 9.8% of world market 0,000 MW installed worldwide 3,000 employees in 5 countries U.S. HQ - Chicago, IL Commissioning, OMS, SCM, Engineering, Special Projects 60+ wind farms in the U.S.,57 turbines (S88 & S64) 30+ field technicians 3

33 Rick Duesing 5+ years in the power generation business Field service technician Gas & steam turbine mechanic, WEC Mechanical engineer Modifications & Upgrades group, SWPC C manager C co-founder / developer, MPSA Operations manager SMC Project Lead, Suzlon Facilities & Powerplant Engineering Massachusetts Maritime Academy Masters in Business Administration Rollins College 33

34 Current Configuration SC-Power Plant Centralized park master Originally designed as a reporting service 9 tags Fast / Slow Analog values only Data is stored as 0-minute average Data extraction is timeconsuming 34

35 Our new interface Bachman M OPC Server Agriwind Site (4 x S88) Higher tag count 300+ tags (out of,000+) All digital inputs / outputs Enables the SMC to dig deeper into root cause All parameter set points Warnings & Alarms Configuration Control Negligible impact to turbine controllers 35

36 Next Steps Evaluate new data set and infrastructure Monitor CPU usage Determine broadband (VPN) limitations Build new troubleshooting tools and models Retrofit existing PI System sites Roll-out w/ all new installations 36

37 37

38 Panel Discussion Presented by 38

39 Thank you

40 Questions: What methods of direct to controller integration would you find important to you? CFO Question: What kind of returns do you expect you will achieve by going direct to the controller? What incremental cost or savings do you expect by going direct to the controller? DC - Is this a case of 'gather the data' then determine the analytics? What improvements to your SCA data do you expect? What is the killer app for this scenario? Will this create a 'data asset' that will add value to the equipment? 40