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Evaluating Dynamic, Flexible Interconnection Options for Distributed Photovoltaic Resources
Distributed Generation Integration Collaborative (DGIC) Webinar
February 27, 2020
Kelsey Horowitz, NREL
Nadav Enbar, EPRI
Devin Van Zandt, EPRI
Steven Coley, EPRI
Welcome and Webcast Logistics
Webcast being recorded for re-listen and review. Please end your participation if you do not consent to being recorded.
▪Time: 3:00-4:00 pm Eastern (12:00-1:00 pm Pacific)
▪Format: Presentation, followed by Q&A– Phone lines muted to reduce background noise
– Please use webcast console to submit questions
– Phones will be unmuted during Q&A session
▪ Following the webcast, PPT and recording will be available on the DGIC website (https://www.nrel.gov/dgic/) as well as www.EPRI.com
NREL | 3
Distributed Generation Integration Collaborative (DGIC) • Formed in Oct 2013 as part of U.S. DOE SunShot Initiative• Focus: info exchange and innovation related to DER integration
processes and practices– Evolved from distributed PV interconnection processes and
practices• EPRI leading DGIC as of 2019
https://www.nrel.gov/dgic/
• What research questions, needs, and industry gaps should the DGIC explore? Let us now: [email protected]
• Stay connected: subscribe to the DGIC newsletter
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Background
Firm Interconnection • Typical arrangements for distributed PV
• Static hosting capacity assuming uncontrolled PV output
• Infrastructure upgrades to increase hosting capacity
• Upgrades typically based “worst-case” conditions given reliability objectives and limited visibility/control
Flexible Interconnection• Emerging arrangements
• Application of time-series or dynamic hosting capacity concepts
• Use controls to dynamically curtail PV systems in response to grid needs
• Acknowledge time-varying nature of grid constraints with failsafe mechanisms to ensure reliability
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Outline
• Dynamic Hosting Capacity
• Flexible Interconnection
o What is it and why care?
o Case studies
o Assessing curtailment risk
• Key Challenges and Next Steps
• Ongoing work at EPRI and NREL
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Dynamic Hosting Capacity
Recognizing the time-varying nature of grid constraints
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Dynamic Hosting Capacity without Flexible Interconnection
Jain, Akshay Kumar, Kelsey Horowitz, Fei Ding, Nicolas Gensollen, Barry Mather, and Bryan Palmintier. “Quasi-Static Time-Series PV Hosting Capacity Methodology and Metrics.” In 2019 IEEE Power Energy Society
Innovative Smart Grid Technologies Conference (ISGT), 1–5, 2019. https://doi.org/10.1109/ISGT.2019.8791569.
▪ Should feeder capacity be expanded to be used only a few hours per year?
▪ Traditional snapshot hosting capacity may be conservative in terms of ANSI standard requirements
▪ Grids may operate outside of the limits enforced on PV during interconnection without PV
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Dynamic Hosting Capacity without Flexible Interconnection
▪ Acknowledging the time-varying nature of constraints can result in higher hosting capacity with grid operation still meeting standards and not unduly taxing equipment
Jain, Akshay Kumar, Kelsey Horowitz, Fei Ding, Nicolas Gensollen, Barry Mather, and Bryan Palmintier. “Quasi-Static Time-Series PV Hosting Capacity Methodology and Metrics.” In 2019 IEEE Power Energy
Society Innovative Smart Grid Technologies Conference (ISGT), 1–5, 2019. https://doi.org/10.1109/ISGT.2019.8791569.
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What is Flexible Interconnection?
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Dynamic Hosting Capacity with Flexible Interconnection
Curtailment based on time-varying constraint periods can be minimal, and can enable more DER generation capacity while operating the grid within acceptable limits
Date
Time-Varying Grid Export Limit
PV Output (Fixed Capacity Limit)
Fixed Capacity Limit
PV Output (Flexible Limit)
60% increase in PV capacity
<0.1% energy curtailment
<20 hours per year
Available PV Output
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What is Flexible Interconnection?
Arrangements enabling more DER capacity to interconnect by using controlsto manage real-power output of DER to stay within grid-level constraints.
DER Capacity
DER
Pro
du
ctio
n
Alternative Control
Schemes
Var
Su
pp
ort
Curtailed Production
Unconstrained Var Managed Operation
Firm Capacity
Limit
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Control Techniques Supporting Flexible Interconnection
Level of Complexity Control Technique DER ManagedNumber and Location of Monitoring Points
Fixed constraintsTimed capacity
connectionSingle DER
or co-collocatedSingle monitoring
location at DER site
Simple, localized constraints
Export limiting devices
Single DERor co-collocated
Single monitoring location at DER site
Local management schemes
Single DERor co-collocated
Single monitoring location at DER site
Remote inter-trip schemes
Single DERor co-collocated
Single distant monitoring location
Multiple constraints,
potentially nested
and/or spanning a wider network area
Active power
management
(centralized or decentralized)
Multiple DER
geographically dispersed
Multiple distant monitoring locations
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Firm CapacityParadigm
(no upgrade needed)
Flexible Interconnection Paradigm
(economic to curtail)
Upgrade Paradigm
(economic to upgrade)
Economic Opportunity for Flexible InterconnectionIn
tegr
atio
n C
ost
($
/MW
)
Interconnected Capacity (MW)
Reinforce
$/MW cost of curtailment over lifetime of project
$/MW cost of reinforcement
Firm Capacity
Limit
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Flexible Interconnection Can Enhance Customer Value
Drivers▪ Low resource costs
– i.e. cheap/available land
▪ Expensive grid-side mitigation measures
▪ Infrequent need to curtail
Opportunity: Offer DER customers faster and cheaper interconnection to integrate more DER in areas with limited hosting capacity
Benefits▪ DER customers: faster, cheaper
connection; can be temporary
▪ Ratepayers: reduce socialized portion of upgrade costs; improved network utilization
▪ Policy objectives: Accelerate progress towards DER penetration goals and/or emissions targets
Example Use Case:
▪ Avoid construction of dedicated feeders
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Case Studies in Flexible Interconnection
How much curtailment is experienced?
Does it make financial sense?
How do you assess curtailment over time, and how does that affect financing and viability of these solutions?
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Curtailment for Many Flexible Interconnection Schemes
Can be less than Power Lost to Clipping
Customers willingness to clip available solar energy for optimal PV system design
Inverter Output Power Limit
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Curtailment Compared to Clipping
• Clipping can result in a higher percentage energy loss than curtailment in some cases, depending on the DC-AC ratio, configurations, and controls
Azzolini, Joseph A., Matthew J. Reno, Kelsey A. W. Horowitz. “Evaluation of Curtailment Associated with PV System Design Considerations.” 2020 IEEE PES GM, accepted.
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Curtailment may also be << Variability in Year-on-Year
Output of PV due to Weather
-600
-500
-400
-300
-200
-100
0
100
200
300
2015 - 2016 2016 - 2017 2017 - 2018
MW
hModeled Results
Curtailment PV production without curtailment
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BUT Curtailment Risk Will Vary over Time
• Loads change
• Weather changes
• PV deployment may increase
• And only a subset may participate in flexible interconnection schemes
• The grid will change
• Some upgrades will be required regardless of PV deployment
• And a lot depends on the details of the control scheme
• E.g. how does it behave if there is a communication downtime? Is the PV totally curtailment when there is a constraint, or just stepped back in discrete increments?
• These factors are often not considered during flexible interconnection studies today
• Develop a robust, replicable, transparent methodology for curtailment risk assessment
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Example Study
Feeder A Feeder B Feeder C
Feeder D Feeder E
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Time Series Data
▪ HC and FICS dependent on time-varying load profiles
▪ Correlation of load and PV output is also a factor
▪ Sensitivity analysis using data sets from different locations
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Hosting Capacity Profiles
▪ Hosting Capacity (HC) calculated for each hour of the year
▪ Two constraints considered
– Overvoltage at MV Level
– Thermal Loading
▪ Minimum HC of each constraint defines HC for the hour
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Flexible Interconnection Capacity Solution (FICS)
HC Profiles for Feeder Nodes FICS Results for Feeder
Node 1 HC
Node 2 HC
Node n HC
FICS
Analysis
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FICS: FICS90 Metric
Feeder Y FICS90 = 1.3 p.u. Feeder X FICS90 = 3.1 p.u.
FICS90 = the increase in DER size (above the baseline HC) that can be made before expected annual production drops to 90% of the uncurtailed value
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FICS: Example Results: Feeder B
Widely Varying Flexibility Along a Feeder
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FICS: Key Correlations
▪ Over 1,300 locations studied
▪ Variability of hosting capacity drives FICS
▪ Near linear relationship between FICS90 and
▪ May allow for less computationally intensive analysis
Feeder Line Fit (R2)A y = 1.4589x – 0.1075 0.9874B y = 1.5422x – 0.1672 0.9913C y = 1.2828x + 0.0881 0.9973D y = 1.4924x – 0.2640 0.9477E y = 1.0575x + 0.1892 0.9459
൯𝐴𝑣𝑒𝑟𝑎𝑔𝑒(𝐻𝐶 𝑡
൯𝑀𝑖𝑛 (𝐻𝐶 𝑡
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Summary, Key Challenges, and Ongoing Research
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Summary of Demonstration Projects
Demonstration Hosting Utility DER Type(s)Management Solution Type
Constraint Location Status
Accelerating Renewable Connections (ARC)
SP Energy Networks (UK) Genration (PV, wind, DG)Local & Centralized mgmt.
Distribution, Transmission
In service since 2016
Smart Grid Vendée Enedis (France) Generation (PV, wind) Local mgmt. Distribution In service since 2017
Flexible Interconnection Capacity System (FICS)
Avangrid (US) Generation (PV, DG) Local mgmt. Distribution, SubstationSeveral sites in development
Automated Load Rejection Scheme (ALRS)
Hydro One (Canada) Flexible loads Local mgmt. DistributionCommissioning planned for Q4 2018 – Q1 2019
Driffield Northern Powergrid (UK) Generation Centralized mgmt. DistributionCommissioning planned for Q4 2018
Dumfries and Galloway SP Energy Networks (UK) Generation (wind) Centralized mgmt. TransmissionBeing designed, commissioning planned for 2023
N/A Pepco (US) Generation (PV) Centralized mgmt. Substation In service since 2016
N/A OPPD (US) Generation (PV) Centralized mgmt.Distribution, Substation, Transmission
Online
Evolve 5 Utilities (AU)Generation (PV), storage, load
Centralized mgmt. DistributionPlans to launch end-to-end demos in 2020
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Key Learnings and Emerging RequirementsSuccess Factors
▪ Challenging network constraints and strong demand for new DER connections
▪ Geospatial heat maps to signal opportunities to project developers
▪ Stakeholder engagement (dedicated utility teams, monitoring to gather specific usage data, curtailment estimates)
▪ Visibility and transparency to build trust (dispatch rules, cost apportionment rules, auditable constraints logs)
Emerging Solution Components
▪ Various real-time capacity dispatch algorithms tested: LIFO, sensitivity factors, economic dispatch, power injection maximization, etc.
▪ Separate local controller co-located with DER is predominant (vs. inverter responding to signals).
▪ Communications fail-safe modes with specified fallback values are always required.
Strategy around Flexible Connections
▪ Stop-gap measure or enduring solution, depending on severity of constraints and demand for new DER connection.
▪ Current focus on real power management, but reactive power compensation is a logical next step.
Source: SMA
Source: UKPN
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Summary
• Flexible interconnection provides a good opportunity for low-cost integration of PV, especially when traditional infrastructure upgrade costs would otherwise be high
• In many scenarios, curtailment can be low
• Even lower than clipping losses
• However, frameworks and analyses for fully understanding curtailment risk over time are still being developed
• More publications forthcoming!
• There are now several flexible interconnection projects coming online in the U.S.
• Flexible interconnection has been implemented more widely in Europe
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Key Challenges for Flexible Interconnection
Utility
• Revision to interconnection analysis methodologies
• Visibility, communication, and control
• Cyber security
• Additional field demonstrations in the U.S. to increase confidence
Developer
• Understanding financial risk
✓Important for getting flexible interconnection projects financed!
• Additional field demonstrations in the U.S. to increase confidence
Regulators
• Contractual agreements and “principles of access”
• Rules on payment, compensation, and tariffs
• Utility obligations to accommodate exports beyond hosting capacity
General
• Stakeholder education
• Stop-gap measure vs. enduring solution
• Low data resolution and quality for many distribution systems, loads, and PV
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NREL Ongoing Research Areas
▪ Publications accepted or submitted for much of this work… stay tuned!
Replicability and Robust Curtailment Risk
Assessment Methods
Extendibility:What is the firm versus flexible hosting
capacity over many circuits and penetration levels?
Sensitivity:How much does data quality and resolution affect hosting capacity
and curtailment results?
Validation:Track flexible interconnection field
projects. Report grid performance and actual versus expected curtailment.
Novel Control Scheme Development
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Thank you!
Questions?
Steven Coley, EPRISenior Project Engineer, Integration of DER [email protected]
Nadav Enbar, EPRIPrincipal Project Manager, Integration of DER [email protected]
Kelsey Horowitz, NRELLead Researcher, Sustainable Technology [email protected]
Devin Van Zandt, EPRITechnical Executive, Integration of DER [email protected]
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EPRI Publications on Flexible Interconnection
▪ Understanding Flexible Interconnection – 3002014475
▪ Flexible Interconnection for DER: Emerging Practices at Early-Adopter Utilities – 3002012964
▪ Maximizing DER Hosting and Grid Utilization, Flexible Interconnection Capacity Solutions (FICS) – 3002015742
▪ Quantifying the Technical Benefits of DERMS and Interconnection Principles of Access – 3002015743
▪ Employing Active Power Curtailment of Distribution-Connected Solar Photovoltaics: Economic and Regulatory Considerations – 3002010289
▪ Application of Active Power Management to Increase Hosting Capacity – 3002013440
▪ The Economic Impact of Real-Power Management of Solar PV Systems – 3002013325
Reports downloadable from: www.epri.com
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NREL Publications and Resources
▪ Quasi-static Time-Series PV Hosting Capacity Methodology and Metrics: https://www.nrel.gov/docs/fy19osti/72284.pdf
▪ More forthcoming soon!
– These will be posted on our website: https://www.nrel.gov/solar/advanced-hosting-capacity-analysis.html