2012 grid strategy: distribution management systemgrouper.ieee.org/groups/td/dist/da/doc/2012 grid...
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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
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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
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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 ([email protected]) at EPRI to be directed to the appropriate contact at Duke Energy.
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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
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• 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
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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
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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.
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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.