2012 Grid Strategy: Distribution Management System

Advanced Applications for Distributed Energy Resources

Jared GreenProject Manager

Advanced Applications for Distributed Energy Resources

Project Manager

January 14, 2013

IEEE PES DMS Task Force Meeting

2012 Strategic Topic Goals

• Understand the basics of DMS advanced applications

• Ability to rank benefits of advanced DMS applications based on utility preferences

R l th l f h li ti• Reveal the value of each application

• Show benefits of combined DMS applications are greater than the sum of the individual programsthan the sum of the individual programs

2© 2013 Electric Power Research Institute, Inc. All rights reserved.

Distribution System of the Future

Bulk Electric SystemCBS IHD

REIT

Microgrid

ElectricTransportation

CESRES EMS

FlowBattery

Transportation

Substation

Smart ThermostatsSimplySolar

Feeder Improvements:CVR/VVO, ASR

DMS, DRMS, AMI, MDMS, AOS & OMS upgrades/installs

Sunverge

EVImpact

Smart Appliances

AOS, & OMS upgrades/installs

Smart EVSE Charging EMSPartner Projects

Rates

3© 2013 Electric Power Research Institute, Inc. All rights reserved.

Advanced Lighting Control

CEITPartner Projects

Red denotes project or device interactions with other projects or devices.

Condition-Based Maint. Workforce

MgtOutage

Mgt DRMSMgt

Asset Man.

Ad t

Dynamic Equip. Rating

Mgt DRMS

DMS

DR MgtAdapt. System

Protection

DMS Advanced

Apps

Load FlowLoad forecasting

AppsState

Estimation

C ti

Optimal Network Reconf.

Contin-gency

Analysis

Operator TrainingVolt-VAR

M t

DER Mgt

DERMS

4© 2013 Electric Power Research Institute, Inc. All rights reserved.

Training ToolSwitching

MgtFLISRMgt

Emerging Technology Office Education Seminar Series

Di t ib t d E R Distributed Energy Resource Management System (DERMS)

Duke Energy DERMS

• For more information on the Alstom DERMS Demonstration at Duke Energy please contact Jared Greenat Duke Energy please contact Jared Green (jgreen@epri.com) at EPRI to be directed to the appropriate contact at Duke Energy.

6© 2013 Electric Power Research Institute, Inc. All rights reserved.

Cost-Benefit Analysis Guiding Documents • “Methodological Approach,”

published Jan, 2010– Jointly funded by DOE and EPRIJointly funded by DOE and EPRI– Provides framework

for estimating benefits & costs– Provides definitions,

concepts and data sourcesPublicly available: Product ID 1020342– Publicly available: Product ID 1020342

• “Guidebook for Cost/Benefit Analysis of Smart Grid D t ti P j t M iDemonstration Projects: Measuring Impacts and Monetizing Benefits,”

– provides a manual for practical application with step by step instruction

– provides guidance for documenting the project in detail and approach to perform a CBA,

– includes templates for working through the process.– Vol. 1 Publicly available (Replaced): Product ID

1021423

7© 2013 Electric Power Research Institute, Inc. All rights reserved.

– Rev. 1 publicly available(Jan. 2013): Product ID 1025734

CBA Terminology: Impacts, Metrics, and Benefits

Measure Calculate(algorithms)

Monetize

System(Program, Project,

Sub-Project)

System(Program, Project,

Sub-Project)

Device1 Device2

Costs/Benefits

Costs/Benefits

Function1

Function1

Function2

Function2

ApplicationApplicationSystem

Configuration & Operation

• LocationC ti

MarketEnvironment

• Market versus Integrated Utility

Impacts

Impacts

Metrics

Metrics

Device3 Device4 Costs/Benefits

Function3

Function3

• Connection• Direction of

Influence• Point of Impact• Intended Use

Integrated Utility• Regulatory

conditionsImpacts Metrics

Functions:Ph i l

Application:U f S t

Impacts:M bl

Metrics:C l l t d

Costs/Benefits:M ti d

Systems:C bi ti f

• Functions are capabilities and features of the SG system.

Physical Capabilities

Use of Systemin its Environment

MeasurablePhysical Changes

Calculatedfrom Impacts

MonetizedImpacts

Combination of Devices and Software

• Impacts are measurable physical changes within the bounds of the demonstration system.

• Impacts are differences between a measured quantity and its baseline measurement.

B fit t d t f i t S b t

8© 2013 Electric Power Research Institute, Inc. All rights reserved.

• Benefits are monetary products of impacts. Some may be costs.

• In short: We measure impacts, calculate metrics, monetize costs and benefits.

Primary Objective

SecondaryObjectiveDMS Advanced Applications – CBA Evolution

Category CategoryCondition-Based Maintenance Util Op Eff ReliabilityWorkforce Location Util Op Eff ReliabilityAsset Management Util Op Eff Reliability

•Wide variety of applications and objectives/benefits.

Asset Management Util Op Eff ReliabilityOutage Management Util Op Eff ReliabilityUnbalanced Load Flow Util Op Eff ReliabilityState Estimation Util Op Eff Reliability

We’ll categorize these to narrow our focus.

Contingency Analysis Util Op Eff ReliabilityOperator Training Tool Util Op Eff ReliabilitySwitching Management Util Op Eff ReliabilityFLISR Reliability Util Op Eff

•DMS Impact MeasurementMany of the apps don’t

lend to experimentationFLISR Reliability Util Op EffDER Management Reliability Sys Op EffVolt-Var Management Sys Op Eff Cust Eff (CVR)Optimal Network

f Sys Op Eff Reliability

lend to experimentationto demonstrate impacts.

Reconfiguration Sys Op Eff Reliability

Short-term Load forecasting Sys Op Eff ReliabilityAdaptive System Protection Sys Op Eff ReliabilityDynamic Equipment Rating Util Asset Eff Reliability

9© 2013 Electric Power Research Institute, Inc. All rights reserved.

Dynamic Equipment Rating Util Asset Eff yDemand Response Mgt Util Asset Eff Reliability

DMS Advanced Applications– CBA EvolutionCategorized Objectives of Smart Grid Applications

Reliabilityfrequency and duration of customer interruptions

Utility Operational Efficiencypeople and how they do their jobs: non-fuel O&M, non-production A&G assets, safety Primary Objectives of most

Advanced DMS ApplicationsSystem Operational Efficiency

the power system and how efficiently it runs: losses, combustion, dispatch optimization, emissions

Utility Asset Efficiency

Advanced DMS Applicationsare in these categories.

Utility Asset Efficiencyproduction assets required in GT&D

Power Qualityharmonics sags/swells voltage violationsharmonics, sags/swells, voltage violations

Customer Efficiencyenergy consumption required to provide desired benefits

O h ?

10© 2012 Electric Power Research Institute, Inc. All rights reserved.

Others?theft reduction, customer service, satisfaction, others?

DMS Advanced Applications – CBA EvolutionDMS Applications and Objectivespp j

Applications

Primary Objective Category

SecondaryObjectiveCategoryApplications g y g y

Condition-Based Maintenance Util Op Eff ReliabilityWorkforce Location Util Op Eff ReliabilityAsset Management Util Op Eff ReliabilityOutage Management Util Op Eff ReliabilityOutage Management Util Op Eff ReliabilityUnbalanced Load Flow Util Op Eff ReliabilityState Estimation Util Op Eff ReliabilityContingency Analysis Util Op Eff ReliabilityOperator Training Tool Util Op Eff ReliabilityOperator Training Tool Util Op Eff ReliabilitySwitching Management Util Op Eff ReliabilityFLISR Reliability Util Op EffDER Management Reliability Sys Op EffVolt Var Management Sys Op Eff Util Asset EffVolt-Var Management Sys Op Eff Util Asset EffOptimal Network Reconfiguration Sys Op Eff ReliabilityShort-term Load forecasting Sys Op Eff ReliabilityAdaptive System Protection Sys Op Eff ReliabilityDynamic Equipment Rating Util Asset Eff Reliability

11© 2013 Electric Power Research Institute, Inc. All rights reserved.

Dynamic Equipment Rating Util Asset Eff ReliabilityDemand Response Mgt Util Asset Eff Reliability

DMS Advanced Applications – CBA EvolutionUtility Cost Sheet with Customer Focus

∆Fuel expense (for generating companies)∆Purchased Power (esp for non-gen retailer)∆A/S (mainly in ISO/RTO markets)∆$ for allowances (for generating companies)ISO/RTO operator costs∆$ for enabled sales, under some conditions

SystemOperations

FuelPurchased Power

A/SEmissions - SO2, NOx, CO2

Operator CostsRevenue on Enabled Sales

SystemOperational Efficiency

This could serve as a topG O&M expenses by functionT O&M expenses by functionD O&M expenses by function

Customer Includes meter reading expensesA&G Building maint and expense

Non-Prod Assets Trucks, A&G, Tools Includes control rooms, software, computers, etc.G $ i t

EconomicC t d

UtilityOperations

Non-Fuel O&MUtility

OperationalEfficiency

This could serve as a top-level CBA summary sheet,

with additional details behind.

Other line items can be added as needed.

G ∆$ revenue requirements T ∆$ revenue requirements D ∆$ revenue requirements

Customer costs, from damage functionsCustomer costs, from damage functionsEconomic loss estimate, apart from utility costValue at least as great as otherwise paid for it

Costs and Benefits

Capital RevenueRequirements

Capital Deferral/Advancement/

Savings

ReliabilityInterruption Costs Sustained/Normal

Interruption Costs MomentaryInterruption Costs Major Event

Value of Service (Comfort Light etc)

System AssetEfficiency

Reliability

Value at least as great as otherwise paid for itCost of program-related devices

Equity Revenue gained or energy saved @ marcostMay be monetized or noted in quantityMay be monetized or noted in quantityMay be monetized or noted in quantityMay be monetized or noted in quantity

Customer Value of Service (Comfort, Light, etc)Cost of equipment (Devices)

Theft Reduction

Environment∆Tons SO2∆Tons CO2∆Pounds Hg∆Particulates May be monetized or noted in quantity

Barrels saved. (monetization included in fuel)Qualitative note, too uncertain for quant.Qualitative note to describe power qualityMove to economic if possible. GT&D energy lossesGT&D peak kW losses

∆ParticulatesSecurityImpacts

Oil SavedMajor Blackouts Avoided

Power QualityImpacts

Change in Momentary OutagesChange in Sags, Swells, Voltage violations

Efficiency∆kWh System Losses∆kW System Losses

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GT&D peak kW lossesConsumer energy consumptionConsumer peak demand

Equity Impact Qualitative note. Minimal economic diff.Metering Accuracy

EfficiencyImpacts

∆kW System Losses∆kWh Consumed∆kW Consumed

Key Findings from the Questionnaire

• DMS is the system of choice

DMS f t diti l

DMS Advanced Applications (present versus future)

• DMS focus on traditional apps

• DR and DER functionality being added to DMS

DER Monitoring

DER Control

DR Monitoring

Dynamic Equip. Rating

Others

80%

100%

• Management systems cross functional lines

DR Control

Operator Training Tool

Asset Mgt. System

Condition-Based Maint.

g

20%

40%

60%

80%

• Systems to be linked in future

• Limited desire for automatic dispatch of DR and DER

FLISR

Switching Mgt Outage Mgt

State Estimation

0%

p

• Limited forecasting of resources

• Benefits attributed to advanced

Mgt.

Unbalanced Load Flow

Contin-gency

AnalysisSystem

Protection

Volt-VAR Mgt.

Workforce location

Outage Mgt.

13© 2013 Electric Power Research Institute, Inc. All rights reserved.

apps centered around system improvements

FuturePresent

Together Shaping the Future of ElectricityTogether…Shaping the Future of Electricity

14© 2013 Electric Power Research Institute, Inc. All rights reserved.