Data Concentration of 7000 Distribution Devices to Facilitate Asset Optimization with the PI System

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Transcription:

Data Concentration of 7000 Distribution Devices to Facilitate Asset Optimization with the PI System Presented by Alan Lytz System Architect

PPL Electric Utilities HQ: Allentown Pennsylvania USA 1.4 million customers 80,000 km of Distribution circuits 13,000 km of Transmission lines 26,000 sq. km service territory in eastern PA 2

PPL EU Service Territory Light Green = PPL Dark Green = PECO

PPL Analytics Goals 1. Improve System Reliability (ISR) 2. Implement Condition Based Maintenance programs (CBM) 3. Provide Operational Performance Visibility (OPV) 4. Build a foundation for advanced analytics such as machine learning (FFA) Reduce customer interruptions & improve service quality Reduce O&M costs through improved maintenance programs driven by asset condition Provide key data and asset conditions to support decision making Move towards a data driven organization 4

Completed Business Driven Use Cases for ISR and CBM These use cases were completed in January 2017 Power Quality Monitoring OH Recloser Condition Based Maintenance Capacitor Troubleshooting Detect, monitor, and diagnose high voltage events across 350 Distribution Substations High Bus voltage monitoring and event root cause analysis Foundation to build geospatial visualization for power quality issues Electrical contacts health assessment and optimized maintenance Support real-time notifications of condition issues Foundational use case for subsequent Smart Grid asset classes Rapidly determine Capacitor Bank issues by monitoring neutral amps Event Frames designed to narrow focus on critical issues, reduce research and analysis time Foundation for future predictive analytics for capacitor bank issues 5

Non-Operational Data needed by Asset Management (ISO 55000) Recloser Wear Calculations (# of operations x FM by ø) Recloser Battery Voltage check (Digital) Capacitor Bank Monitoring (Alarms) High Impedance Faults (ArcSense) Underground Vault Temps and Water levels (Analogs) 6

Operational Data needed by System Operators Voltage by Phase (Analogs) Current by Phase (Analogs) VARs (Analogs) Switch Status (Digital) Alarms (Digital) 7

Example of Devices G&W Viper SEL-651R Relay 6,000 Overhead Vacuum Circuit Reclosers Plans for 1,000s more Can perform individual phase tripping Lots of device diagnostic data from relay 8

Business Drivers That Initiated this Project Desire to leverage the PI System to monitor asset condition and predict maintenance cycles to save O&M dollars. Needed an extensible way to feed asset condition data to the PI System separate from the DMS system. IT team needed a way to add new devices and data to PI dynamically and easily. 9

Data Concentration Solution 10

Options to get device data to the central PI Server 1. Direct DNP3 interface from each device to PI Server - Impractical 2. Use substation RTU to collect proximity overhead device data - Many very rural devices, not ideal 3. Install RTUs on poles - More hardware to maintain, very expensive 4. Install RTUs in central data center - Previous strategy 5. Virtual RTUs - Innovative solution 11

Before Architecture: Physical RTUs in Data Center SEL-651R CAL-AMP Modem DNP3 Unsolicited 100 Devices per RTU All Data to ADMS then to PI Server Cooper Form 6 SEL-734B CAL-AMP Modem CAL-AMP Modem AT&T Cellular Network ADMS 7000 Devices 70 Novatech Orion LX s 12

Proposed Architecture: Virtual RTUs 250 Devices per RTU SEL-651R Cooper Form 6 SEL-734B CAL-AMP Modem CAL-AMP Modem CAL-AMP Modem DNP3 Unsolicited AT&T Cellular Network... Non- Operational Data ADMS Operational Data 7000 Devices 35 Virtual RTU s 13

Final Architecture: Two Paths to PI SEL-651R Cooper Form 6 SEL-734B CAL-AMP Modem CAL-AMP Modem CAL-AMP Modem DNP3 Unsolicited AT&T Cellular Network... PI Concentrator Server Non- Operational Data ADMS Operational Data 7000 Devices PowerSYSTEM Intelligence 14

Future Architecture: One VM for all devices SEL-651R Cooper Form 6 SEL-734B CAL-AMP Modem CAL-AMP Modem CAL-AMP Modem DNP3 Unsolicited AT&T Cellular Network Non- Operational Data ADMS Operational Data 7000 Devices 1 VM up to 10,000 devices simultaneously 15

The PowerSYSTEM Server Virtual RTU Centralized Device Polling Expandable to 1000s of Devices Add/Edit Devices on the fly Virtual Machine Servers One main advantage is the ability to modify, stop, and start DNP devices individually. 16

Configuring the SUBNET-PI Interface Uses Native PI SDK One DNP connection to PI Server Plans to use PI Web API in the future for AF templatizing 17

Distribution Asset Framework Asset Framework built for Distribution Substations and Overhead equipment 200,000 total tags 30,000 analyses tags Event Frames templates Structured PPL s future analytics strategy Regions 6 geographical regions Substations 350 Subs OH Equipment Equipment Reclosers Cap Banks MOABs Busbars 12 kv CBs XFMRs 18

PI Coresight Displays for Operational Intelligence LANCASTER REGION Vault Water Levels High Voltage Substations 19

Asset Framework allows for quick and easy building of rich element relative diagnostic dashboards displaying asset condition. 20

Value Added to Each Use Case Power Quality Monitoring OH Recloser and Circuit Breaker CBM Capacitor Troubleshooting Detect, monitor, and diagnose high voltage events using Event Frames Saved 300+ hours per quarter in engineer s analysis time Dynamic asset condition monitoring eliminates need for OH Recloser inspection program Cost Avoidance of ~$600,000 per year Rapidly determine capacitor bank issues using Event Frames System Operations reaction time is drastically reduced Fewer Diagnostic truck rolls Increased key customer voltage satisfaction ~$150,000 per year savings 21

Data Concentration of 7000 Devices COMPANY and GOAL PPL Electric Utilities needed a method to broker data to ADMS and the PI System to drive analytics use cases Company Logo Picture / Image CHALLENGE High costs of physical RTUs and ADMS points inhibited the path to data growth Many DNP3 interfaces to both ADMS and the PI System Not ideal architecture SOLUTION Virtual RTUs replaced physical RTUs and simplified interfaces to ADMS and PI 35 VMs poll 200 field devices each One collector server aggregates all data and brokers to ADMS and the PI System RESULTS Significant savings in operational intelligence and asset management programs $600k per year savings in elimination of Recloser inspection program $150k per year savings in cap bank issue resolution

Questions Please wait for the microphone before asking your questions Please remember to Complete the Online Survey for this session State your name & company 23

Alan Lytz Alan.Lytz@subnet.com System Architect SUBNET Solutions 24

Thank You