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PI-The Backbone of Conectiv Energy’s Generation Asset Management. Amit Mahajan And Paul Wassil

PI-The Backbone of Conectiv Energy’s Generation Asset Management. Amit Mahajan And Paul Wassil. PHI Corporate Structure. Regulated T&D Businesses. Unregulated Energy Businesses. Who is Conectiv Energy?. Power Trading. Generation Management. Load Management.

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PI-The Backbone of Conectiv Energy’s Generation Asset Management. Amit Mahajan And Paul Wassil

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  1. PI-The Backbone of Conectiv Energy’s Generation Asset Management. Amit Mahajan And Paul Wassil

  2. PHI Corporate Structure Regulated T&D Businesses Unregulated Energy Businesses

  3. Who is Conectiv Energy? Power Trading Generation Management Load Management Operate a cross commodity trading floor with emphasis on: • Power • Natural Gas • Coal • Oil • Emissions • Renewables Own and operate 3700 MW of generation in five mid-Atlantic states Manage approximately 2000 MWs of load in PJM and ISO-NE Manage an additional 500+ MW of tolled generation 650 MW of additional generation under construction Asset-backed wholesale energy business headquarterd in Newark DE.

  4. Conectiv’s Generation Mix

  5. Generation Optimization Fuel Cost & Availability Emissions Adders • Accounting: • Metered MWH Delivered • DA & RT LMPs • Energy Gross Revenue • Actual costs • Profit or loss Planning & Scheduling Power Market Prices t t Transmission Congestion • Real-Time Operation: • Plant Performance • Fuel Flow & Inventory • Economic Dispatch

  6. How is PI Used in Asset Optimization? Marketing, Scheduling, and Dispatch • Generation cost and prices • Unit status Log • Economic dispatch • Energy and Ancillary Market interface Fuel & Emissions Management • Real-Time Natural Gas flow & balances • Liquid fuel inventories • Real-Time Emissions monitoring • Emission Permit balances Plant Performance Monitoring • On-dispatch • Heat Rate

  7. Unit Status Log

  8. PJM Ancillary e-Market Interface

  9. Liquid Fuel Inventory

  10. Natural Gas Usage

  11. Plant Performance – On-Dispatch

  12. How does PI meet our business needs? • User Friendliness- PI Client tools and other apps. • Flexibility- Adapts well to changes in our portfolio. • Compatibility- Interfaces well with other Conectiv applications. • Reliability- 24/7 operation

  13. PI-Not just a Data Historian Data Historian and much more. Platform against which we do in-house application development. Stores not just plant data, but market data too. Daily, Weekly and Monthly report generator for things as varied as environmental data reports to P&L reports to dispatch reports.

  14. Conectiv PI Data Sources Conectiv PI PJM eData-LMP’s Plants-Real-time Generation/Fuel Data Genscape PJM eMarket-Gen and Ancillary Services Market Data Bid Prices, Costs, DA Loads, Over-rides, Spinning Data etc. Operators Dispatch, Schedule, Unit Outage data using various in-house applications

  15. Conectiv’s PI based applications Various applications and reports to manage power generation assets. Use PISDK and VB/C#.NET. These applications render business functionality customized to the needs of Conectiv Energy. PI-Module Database forms the data and schema backbone of these applications. Two-way Interface with PI and Oracle data. Real-time two –way interfaces with PJM eSuite applications using XML SOAP calls. Very easily extensible- thanks to the Module DB and PISDK.

  16. General Architecture PJM XMLSOAP PI-Module DB PI-Archives Client Applications PISDK Calls Microsoft Visual Studio .NET Oracle

  17. Generation Asset Manager

  18. Dispatch Entry Dialog

  19. Power Spinner

  20. Bid Tracker

  21. Bid Results from Bid Tracker

  22. Schedule Details From Bid Tracker

  23. Unit Performance Reports

  24. PISDK Architecture for Gen Apps One PI Module for the Generation portfolio A sub-module of the Portfolio Module corresponds to a Generation Unit. A Unit Module corresponds to a Unit class. Various Unit Parameters form the aliases/properties of the unit module and are accessed that way from the code. Very easy to add/delete units from the portfolio.

  25. Example MDB Settings-Portfolio

  26. Example MDB Settings-Unit

  27. Typical Settings For a Data Job

  28. MDB Settings for On-Dispatch Targets

  29. PI-Future at Conectiv Have recently installed a new Generation Management System and PI is the data historian for it. HA-PI system that has interfaces with our corporate PI system. Plan to convert every PI historian to an HA system Looking to leverage some of the web-based technologies at offer.

  30. Thank You!

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