Overview of Hosting Capacity Methods: Detailed and...
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© 2015 Electric Power Research Institute, Inc. All rights reserved. Jeff Smith Manager, Power System Studies [email protected] Matthew Rylander, PhD Technical Leader, Power System Studies [email protected] Overview of Hosting Capacity Methods: Detailed and Streamlined Methods Integration Capacity Analysis (ICA) Working Group Meeting June 9, 2016 CPUC Golden Gate Hearing Room
Transcript of Overview of Hosting Capacity Methods: Detailed and...
© 2015 Electric Power Research Institute, Inc. All rights reserved.
Jeff SmithManager, Power System Studies
Matthew Rylander, PhDTechnical Leader, Power System Studies
Overview of Hosting Capacity Methods:
Detailed and Streamlined Methods
Integration Capacity Analysis (ICA) Working Group Meeting
June 9, 2016
CPUC Golden Gate Hearing Room
2© 2015 Electric Power Research Institute, Inc. All rights reserved.
Overview Of EPRI’s Hosting Capacity Methods
Different methods developed and implemented over time– Detailed methods, brute-force, iterative load flow approach– Streamlined methods, leveraging lessons learned to minimize load
flow solutions
Detailed method development
Utility application
Streamlined method
development
Utility application
Vendor implementation
2010 2011-2014 2014 2015-2017 2016/17
3© 2015 Electric Power Research Institute, Inc. All rights reserved.
Key Aspects of Hosting Capacity MethodPower System Criteria and DER
Power System Criteria
Thermal
Substation transformer
Primary conductor
Service Transformer
Secondary Conductor
Power Quality/Voltage
Sudden (fast) voltage change
Steady-state voltage
Voltage regulator impact
Load tap changer impact
Protection
Relay reduction of reach
Sympathetic tripping
Element fault current
Reverse power flow
Reliability/Safety
Unintentional islanding
Operational flexibility
Substation
Distributed 1 Distributed N
Substation
Centralized 1 Centralized N
DER Size and LocationDistributed and Centralized
Unique DER Technology
EPRI’s detailed and streamlined methods
4© 2015 Electric Power Research Institute, Inc. All rights reserved.
Detailed Hosting Capacity – Overview of Approach
Evaluate 1000’s of possible DER deployments
Considering different – load levels and associated
operating conditions– Types of DER (larger, MW-
class PV, small rooftop
Run power flow
Criteria violated?
VoltageProtectionPower QualityThermal
Add DER
Hosting Capacity
Y
N
5© 2015 Electric Power Research Institute, Inc. All rights reserved.
0 2 4 6 8 10
J1R1R2R3R4T1T2G1G2G3P1P2P3P4P5D1D2D3
MW of Consumer PV
Feeder
Utility Participation in EPRI Hosting Capacity EvaluationsMain map: © 2012 Microsoft Corporation. Imagery © Microsoft – available exclusively by DigitalGlobe (Bing Maps Terms of Use: http://go.microsoft.com/?linkid=9710837). Inset map: Map data © 2012 Google
Distribution FeederPV Impact Heat Map
PV Im
pact
Feeder Models PV Impacts
Detailed Hosting Capacity Analysis – What We Found
No two feeders are alike – feeder clustering not sufficient
Locations within each feeder vary considerably. Difficult to consider all possible locations.
Detailed analysis not easily replicable across large number of feeders
Running load flow on all possible scenarios not feasible across large numbers of
feeders when considering all locations (3P and 1P), various load levels, feeder
reconfigurations, DER types, etc
1.035
1.04
1.045
1.05
1.055
1.06
1.065
1.07
0 0.5 1 1.5 2
Max
imu
m F
ee
de
r V
olt
age
(Vp
u)
Total PV Penetraion of Deployment (MW)
A B C
Wor
st-C
ase
Res
ult f
or E
ach
Uni
que
DE
R D
eplo
ymen
t
Increasing penetration (MW)
Threshold of violation
A – All penetrations in this region are
acceptable, regardless of location
B – Some penetrations in this region are
acceptable, site specific
C – No penetrations in this region are
acceptable, regardless of location
6© 2015 Electric Power Research Institute, Inc. All rights reserved.
Key Components to an Effective Hosting Capacity Method Application Across Entire Distribution Service Areas
• Capture unique feeder-specific responsesGranular
• As distribution feeders changeRepeatable
• System-wide assessmentScalable
• Clear and open methods for analysisTransparent
• Validated techniquesProven
• Utilize readily available utility data and toolsAvailable
7© 2015 Electric Power Research Institute, Inc. All rights reserved.
EPRI’s Streamlined Hosting Capacity Method – What is it? Works within existing planning tools
(CYME, Synergi, Milsoft, PowerFactory, OpenDSS)
Developed from years of detailed hosting capacity analysis
Considers DER size and location– Small distributed and large
centralized DER
Considers DER technology and impacts– PV, wind, storage, etc– Voltage, thermal, protection
Baseline Power flow/short-circuit
Select DER location
Increase DER
Apply Power System Criteria
Hosting Capacity
Limit?
Y N Substation
Distributed DER
Substation
Centralized DER
DER Location
DER
Capa
city
DER
Capa
city
DER Location
Detailed method development
Utility application
Streamlined method
development
Utility application
Vendor implementation
2010 2011 2014 2015 2016/17
8© 2015 Electric Power Research Institute, Inc. All rights reserved.
Substation Marker *Hosting CapacitySample Results
System Hosting Capacity(~ 300 distribution feeders)
Substation-level Hosting Capacity
Feeder-levelHosting Capacity
*Initial analysis results from DOE SUNRISE project, results to be published Q2 2016
lower
higher
9© 2015 Electric Power Research Institute, Inc. All rights reserved.
Hosting Capacity MethodsVariations, Validation, Application, and Evolution No two methods are the same
– Detailed methods vary (SCE, SDG&E, EPRI, PEPCO, ComEd are different)
– Streamlined methods vary (PG&E, EPRI, etc. are different)
Regardless of approach, similar if not same results can be realized
Validation/benchmarking is a critical component– Allows for understanding of capabilities
and limitations of any methodology– Impacts method application (planning,
screening, input to LNBA, etc.)
Hosting capacity methods will evolve over time, for example,– EPRI’s initial technique generally
resulted in conservative results (2014)– Through implementation, testing, and
validation, EPRI’s method now yields very similar results to detailed (benchmarked with SCE detailed methodology and others)
Detailed Analysis
Simplified Screens
Speed
Accuracy
Where is streamlined? – Depends upon how the method is implemented
10© 2015 Electric Power Research Institute, Inc. All rights reserved.
Summary
Different methods can yield similar results– Validation/benchmarking is critical– Hosting capacity methods evolve
over time EPRI’s streamlined approach was
developed from detailed analysis and has seen considerable refinements over the past 2 years
EPRI has been working with utility partners to use the streamlined method to– Assist in screening process– Perform system-wide planning– Cost-benefit analysis– Analyze reconfiguration impacts– Work within their existing planning
tools– Identify smart inverter
applications/uses
Development Implementation Delivery
OPENDSS2014-2015
CYME2016
Synergi, Milsoft, PowerFactory, etc
2016/2017
>3000 feeders analyzed throughout US, ~ 10 utilities
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References
Detailed Hosting Capacity Method Impact of High-Penetration PV on Distribution System Performance: Example Cases
and Analysis Approach. EPRI, Palo Alto, CA: 2011. 1021982
Analysis of High-Penetration Solar PV Impacts for Distribution Planning: Stochastic and Time-Series Methods for Determining Feeder Hosting Capacity. EPRI, Palo Alto, CA: 2012. 1026640
Rylander, M., Smith, J., “Comprehensive Approach for Determining Distribution Network Hosting Capacity for Solar PV”, 2nd International Workshop on Integration of Solar Power Into Power Systems, Lisbon, Portugal, Nov 2012.
Rylander, M., Smith, J., "Stochastic Approach for Distribution Planning with Distributed Energy Resources", 2012 CIGRE Grid of the Future Symposium, Kansas City, MO, 2012
Rylander, M., Smith, J., "Comprehensive Approach for Determining Distribution Network Hosting Capacity for Solar PV", 2nd International Workshop on Integration of Solar Power Into Distribution Systems, 12-13 November, 2012
Distributed Photovoltaic Feeder Analysis: Preliminary Findings from Hosting Capacity Analysis of 18 Distribution Feeders. EPRI, Palo Alto, CA: 2013. 3002001245.
Alternatives to the 15% Rule: Modeling and Hosting Capacity Analysis of 16 Feeders. EPRI, Palo Alto, CA: 2015. 3002005812.
Streamlined Hosting Capacity Method Integration of Hosting Capacity Analysis into Distribution Planning Tools. EPRI, Palo
Alto, CA: 2016. 3002005793
A New Method for Characterizing Distribution System Hosting Capacity for Distributed Energy Resources: A Streamlined Approach for Solar Photovoltaics. EPRI, Palo Alto, CA: 2014. 3002003278.
Rylander, M., Smith, J., Sunderman, W., “Streamlined Method For Determining Distribution System Hosting Capacity”, 23rd International Conference on Electricity Distribution, CIRED, Lyon, France, 2015
Rylander, M., Smith, J., Sunderman, W., “Streamlined Method For Determining Distribution System Hosting Capacity”, Rural Electric Power Conference, Asheville, NC, 2015 (accepted for IAS Transactions)
Distribution Feeder Hosting Capacity: What Matters When Planning for DER?. EPRI, Palo Alto, CA: 2015. 3002004777
Smith, J., Rylander, M., Rogers, L., Dugan, R., “It’s All in the Plans: Maximizing the Benefits and Minimizing the Impacts of DERs in an Integrated Grid”, Power and Energy Magazine, March/April 2015.
White PaperIntegration of Hosting Capacity Analysis into Distribution
Planning Tools. EPRI, Palo Alto, CA: 2016. 3002005793Available at no charge
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Questions…
Jeff Smith, [email protected] Rylander, PhD, [email protected]
