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

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

Transcript of 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?Asset-backed wholesale energy business headquarterd in Newark DE.

Generation Management Power TradingLoad Management

Own and operate 3700 MW of generation in five mid-Atlantic states

Manage an additional 500+ MW of tolled generation

650 MW of additional generation under construction

Manage approximately 2000 MWs of load in PJM and ISO-NE

Operate a cross commodity trading floor with emphasis on:•Power•Natural Gas•Coal•Oil•Emissions•Renewables

Conectiv’s Generation Mix

48.0%28.0% 0.1%

22.0%

2.0%

Combined CyclesCTSteamWindSolar

Generation Optimization

Accounting:

•Metered MWH Delivered•DA & RT LMPs•Energy Gross Revenue•Actual costs•Profit or loss

Planning & Scheduling

Emissions Adders

tt

Fuel Cost & Availability

Power Market Prices

Transmission Congestion

Real-Time Operation:

•Plant Performance

•Fuel Flow & Inventory

•Economic Dispatch

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

Unit Status Log

PJM Ancillary e-Market Interface

Liquid Fuel Inventory

Natural Gas Usage

Plant Performance – On-Dispatch

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

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.

Conectiv PI Data Sources

Conectiv PIConectiv PI

Plants-Real-time Generation/Fuel Data

Genscape PJM eMarket-Gen and Ancillary Services Market DataBid Prices, Costs, DA Loads, Over-rides, Spinning Data etc.

OperatorsDispatch, Schedule, Unit Outage data using various in-house applications

PJM eData-LMP’s

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.

General Architecture

Client Applications PI-Module DB PI-Archives

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PISDK Calls

PJM

Oracle

XML SOAP

Generation Asset Manager

Dispatch Entry Dialog

Power Spinner

Bid Tracker

Bid Results from Bid Tracker

Schedule Details From Bid Tracker

Unit Performance Reports

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.

Example MDB Settings-Portfolio

Example MDB Settings-Unit

Typical Settings For a Data Job

MDB Settings for On-Dispatch Targets

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.

Thank You!