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ELIZABETH WALDREN, P.E.
INTEGRATED DER PLANNING CASE STUDY:
DISPERSION ANALYSIS AND SYSTEM IMPACTS
SANDIA-EPRI 2016 PV Systems Symposium
10May2016
AGENDA
Introduction
Background and Methodology
Dispersion Modeling
Distribution System Impacts
Conclusion
2
• SMUD engaged Black & Veatch to assist in
assessing integrated Distributed Energy
Resources (iDER)
• Major tasks
• Review of existing work and processes; tie
together approaches
• New, detailed assessments of potential
• Dispersion modeling
• Distribution system (GRIDiant) modeling
• Bulk system (PLEXOS) modeling
• Economic valuation
• Recommendations and guidelines
• Intent is to identify future impacts and cost /
benefits to shape future targets
• First-of-a-kind study
PROJECT BACKGROUND
Projected DER Load Impacts
10 May 2016Sandia-EPRI |
3
TECHNOLOGIES REVIEWED
10 May 2016Sandia-EPRI |
4
DER
Dispersion
Power Flow
Model
Mitigation
Model
Regression
Analysis
Distribution
Cost
DISTRIBUTION IMPACT AND COST ASSESSMENT
Multiple models at varying scales required to
assess full distribution investment cost impacts
Full System 34 Substations Four Feeders Full System
Apply
transformer
replacement
and voltage
regulator
costs to
calculate total
investment
Black & Veatch
Excel
Landis+Gyr
(L+G) GRIDiant
L+G GRIDiant
Black & Veatch
Excel
Meter-scale
Service
transformer
Service
transformer
Substation
Identify DER
amount, type and
8760 profile for
each customer
Model
transformer
overloads and
voltage issues
per substation
Identify
technologies to
eliminate
violations
Scale-modeled
issues and
mitigation
results
10 May 2016Sandia-EPRI |
5
DER DISPERSION TECHNIQUES
Dispersion analysis using customer propensity
of adoption provides a probabilistic view of
potential areas of high impact
Random Dispersion Propensity Dispersion
10 May 2016Sandia-EPRI |
6
It is critical to identify consistent identifier
across datasets, locational tags and consistent
fill for missing data
COMBINE INDEPENDENT DATASETS
• Historic DER adoption
• Electricity usage
• Meter locations
• Customer segment
• Building attributes (ownership,
multifamily, square footage)
• Customer behavior
DISPERSION ANALYSIS PROCESS
Develop a
customer
database
Identify DER
potential and
adoption
propensity of each
customer
Select adopters
for a target system
potential
Assign operation
profile for each
DER adopter
10 May 2016Sandia-EPRI |
7
DISTRIBUTED GENERATION EXAMPLE:
SOLAR PV POTENTIAL APPROACH
Technical
Potential
Economic
Potential
Achievable
Potential
•What is technically practical
•LiDAR-based assessment of available
rooftop space by building
•Aerial imagery analysis of commercial
parking lot space
•What makes financial sense
•Tied technical potential to SMUD
customer database
•Cloud-based computing to assess
payback of solar for individual
customers, under four scenarios
•What might actually happen
•Application of market penetration
potential and customer adoption curves
•Adoption modeling of individual
customers
10 May 2016Sandia-EPRI |
8
• 3,000 MW of rooftop
potential identified
• 4,600 MW of commercial
parking lot potential
identified
• System sizes then reduced
to be load-limited and
optimized to reduce
payback
TECHNICAL POTENTIAL:
ROOFTOPS + PARKING LOTS
10 May 2016Sandia-EPRI |
9
CREATED TWO MAJOR TYPES OF MAPS
INDIVIDUAL CUSTOMER DER ADOPTION
• Customer-level information
• Different symbol and color for each
DER. Size proportional to DER output
• Concentric circles for multi-DER
DER POTENTIAL BY CIRCUIT
• Summary-level information
• Total change in load (MWh)
on a circuit due to DER (+ or -)
• All parcels served by circuit
shaded the same
Change in Load (GWh/yr)
-5 +5
CHP
EE
PV
Storage
EV
DR
Note – includes current building stock only
10 May 2016Sandia-EPRI |
10
ALL RESIDENTIAL DER
In this neighborhood, most customers have at
least one type of DER. Several customers have
multiple types
10 May 2016Sandia-EPRI |
11
ALL RESIDENTIAL DER
ALL COMMERCIAL DER
Commercial DER “fill-in”
GenerationLoad
10 May 2016Sandia-EPRI |
12
Change in Load (GWh/yr)
-5 +5
Aggregated
DER
Percent of
Transformers
Stressed Due
to EVs
OVER 12,000 TRANSFORMERS MAY NEED TO BE
UPGRADED DUE TO EVS, 17 PERCENT OF TOTAL
10 May 2016Sandia-EPRI |
14
51 Substations, 26% of
Fleet, Have Voltage
Violations at Service
Transformers Due to PV
Over- or under-
voltage violations,
July 2030
Voltages within limits
17
MITIGATION COSTS DEPEND ON ASSUMPTIONS
Transformer
Upgrade
Criteria
% Rating
1 Hour
Residential
Upgrade Cost
per
Transformer
Voltage Control
Technologies
Assessed by
L+G
100%
L+G
Analysis
115%
SMUD EV
HotSpotter
130%
SMUD Pad
Mount
150%
SMUD Pole
Mount
“Oil Boils”
SMUD
Quote
$5k Pole
Mount
H/W+Labor
$7k Pad
Mount
H/W+Labor
$8k
Conductor &
Svc Upgrade
$7.4k Wghtd
Avg SMUD
HotSpotter
$15k Pad
Mount +
Conductor
140% Est.
Wghtd
Avg
Smart
Inverters
Voltage
Regulators at
Svc. Xfmr
Optimal
Battery
Placement
Increase
Conductor
Capacity
Increase
Transformer
Capacity
10 May 2016Sandia-EPRI |
16
• Define a common approach to assigning customer DER propensity for each
technology.
• Use consistent data sets for power flow analysis, DER potential assessments,
and dispersion analysis.
• May need to consider EV charging management
• Establish a consistent transformer upgrade threshold with DER
• Extend study to full T&D system
• Power flow modeling should be extended to all substations & feeders
• Fold potential updates into a grid modernization plan
FINDINGS & RECOMMENDATIONS
10 May 2016Sandia-EPRI |
17
THANK YOU
ELIZABETH WALDREN, P.E.
+1 913-458-7761
WaldrenE@bv.com
18
www.bv.com

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08 waldren sandia-epri ider planning case study_waldren 10 may 2016 - final

  • 1. ELIZABETH WALDREN, P.E. INTEGRATED DER PLANNING CASE STUDY: DISPERSION ANALYSIS AND SYSTEM IMPACTS SANDIA-EPRI 2016 PV Systems Symposium 10May2016
  • 2. AGENDA Introduction Background and Methodology Dispersion Modeling Distribution System Impacts Conclusion 2
  • 3. • SMUD engaged Black & Veatch to assist in assessing integrated Distributed Energy Resources (iDER) • Major tasks • Review of existing work and processes; tie together approaches • New, detailed assessments of potential • Dispersion modeling • Distribution system (GRIDiant) modeling • Bulk system (PLEXOS) modeling • Economic valuation • Recommendations and guidelines • Intent is to identify future impacts and cost / benefits to shape future targets • First-of-a-kind study PROJECT BACKGROUND Projected DER Load Impacts 10 May 2016Sandia-EPRI | 3
  • 4. TECHNOLOGIES REVIEWED 10 May 2016Sandia-EPRI | 4
  • 5. DER Dispersion Power Flow Model Mitigation Model Regression Analysis Distribution Cost DISTRIBUTION IMPACT AND COST ASSESSMENT Multiple models at varying scales required to assess full distribution investment cost impacts Full System 34 Substations Four Feeders Full System Apply transformer replacement and voltage regulator costs to calculate total investment Black & Veatch Excel Landis+Gyr (L+G) GRIDiant L+G GRIDiant Black & Veatch Excel Meter-scale Service transformer Service transformer Substation Identify DER amount, type and 8760 profile for each customer Model transformer overloads and voltage issues per substation Identify technologies to eliminate violations Scale-modeled issues and mitigation results 10 May 2016Sandia-EPRI | 5
  • 6. DER DISPERSION TECHNIQUES Dispersion analysis using customer propensity of adoption provides a probabilistic view of potential areas of high impact Random Dispersion Propensity Dispersion 10 May 2016Sandia-EPRI | 6
  • 7. It is critical to identify consistent identifier across datasets, locational tags and consistent fill for missing data COMBINE INDEPENDENT DATASETS • Historic DER adoption • Electricity usage • Meter locations • Customer segment • Building attributes (ownership, multifamily, square footage) • Customer behavior DISPERSION ANALYSIS PROCESS Develop a customer database Identify DER potential and adoption propensity of each customer Select adopters for a target system potential Assign operation profile for each DER adopter 10 May 2016Sandia-EPRI | 7
  • 8. DISTRIBUTED GENERATION EXAMPLE: SOLAR PV POTENTIAL APPROACH Technical Potential Economic Potential Achievable Potential •What is technically practical •LiDAR-based assessment of available rooftop space by building •Aerial imagery analysis of commercial parking lot space •What makes financial sense •Tied technical potential to SMUD customer database •Cloud-based computing to assess payback of solar for individual customers, under four scenarios •What might actually happen •Application of market penetration potential and customer adoption curves •Adoption modeling of individual customers 10 May 2016Sandia-EPRI | 8
  • 9. • 3,000 MW of rooftop potential identified • 4,600 MW of commercial parking lot potential identified • System sizes then reduced to be load-limited and optimized to reduce payback TECHNICAL POTENTIAL: ROOFTOPS + PARKING LOTS 10 May 2016Sandia-EPRI | 9
  • 10. CREATED TWO MAJOR TYPES OF MAPS INDIVIDUAL CUSTOMER DER ADOPTION • Customer-level information • Different symbol and color for each DER. Size proportional to DER output • Concentric circles for multi-DER DER POTENTIAL BY CIRCUIT • Summary-level information • Total change in load (MWh) on a circuit due to DER (+ or -) • All parcels served by circuit shaded the same Change in Load (GWh/yr) -5 +5 CHP EE PV Storage EV DR Note – includes current building stock only 10 May 2016Sandia-EPRI | 10
  • 11. ALL RESIDENTIAL DER In this neighborhood, most customers have at least one type of DER. Several customers have multiple types 10 May 2016Sandia-EPRI | 11
  • 12. ALL RESIDENTIAL DER ALL COMMERCIAL DER Commercial DER “fill-in” GenerationLoad 10 May 2016Sandia-EPRI | 12
  • 13. Change in Load (GWh/yr) -5 +5 Aggregated DER
  • 14. Percent of Transformers Stressed Due to EVs OVER 12,000 TRANSFORMERS MAY NEED TO BE UPGRADED DUE TO EVS, 17 PERCENT OF TOTAL 10 May 2016Sandia-EPRI | 14
  • 15. 51 Substations, 26% of Fleet, Have Voltage Violations at Service Transformers Due to PV Over- or under- voltage violations, July 2030 Voltages within limits 17
  • 16. MITIGATION COSTS DEPEND ON ASSUMPTIONS Transformer Upgrade Criteria % Rating 1 Hour Residential Upgrade Cost per Transformer Voltage Control Technologies Assessed by L+G 100% L+G Analysis 115% SMUD EV HotSpotter 130% SMUD Pad Mount 150% SMUD Pole Mount “Oil Boils” SMUD Quote $5k Pole Mount H/W+Labor $7k Pad Mount H/W+Labor $8k Conductor & Svc Upgrade $7.4k Wghtd Avg SMUD HotSpotter $15k Pad Mount + Conductor 140% Est. Wghtd Avg Smart Inverters Voltage Regulators at Svc. Xfmr Optimal Battery Placement Increase Conductor Capacity Increase Transformer Capacity 10 May 2016Sandia-EPRI | 16
  • 17. • Define a common approach to assigning customer DER propensity for each technology. • Use consistent data sets for power flow analysis, DER potential assessments, and dispersion analysis. • May need to consider EV charging management • Establish a consistent transformer upgrade threshold with DER • Extend study to full T&D system • Power flow modeling should be extended to all substations & feeders • Fold potential updates into a grid modernization plan FINDINGS & RECOMMENDATIONS 10 May 2016Sandia-EPRI | 17
  • 18. THANK YOU ELIZABETH WALDREN, P.E. +1 913-458-7761 WaldrenE@bv.com 18