SlideShare a Scribd company logo
CIGRÉ Canada Panel Session - “What is Network Resiliency?”
Vancouver, BC - Wednesday, October 19th, 2016
Presented by Marc Brunet-Watson, P. Eng
Director – Power Networks - PSC North America
The Business Case for Resiliency
I won’t be talking technology
 Understanding Resiliency
 What is holding back investment?
 Quantifying benefits of resiliency
Trying to define resiliency
 Preparing for and adapting to changing conditions
– Resiliency time frames can vary from seconds to decades
– Planning horizons are becoming blurred
 Withstanding and rapidly recovering from disruption
– Deliberate attack (PG&E transformers, Ukraine SCADA hack)
– Naturally occurring events (weather, earthquake)
– Regulation, technology, etc…
 One measure of the resilience of any system is the speed
and return to equilibrium following a disturbance
– Time (before, initiation, duration)
– Severity
 Resilience is a trajectory
Reliability versus Resiliency
 They are not the same thing
– The difference increases with system complexity
 Reliability is a measure of service
– Focuses on impact to grid
– Service standard is explicit and inflexible
 Resiliency is related to risks & consequences
– Considers impacts beyond the grid
– Service standard is flexible and poorly defined
Direct recovery
Regulated Cap Ex
Destruction
& Mayhem
Some direct recovery
Regulated Op Ex
Cost recovery at risk
Societal impact and
regulated revenue
 Managing risk is different than eliminating it
Will the two Rs converge?
Likelihood/
probability
Consequences
Events
impacting
RELIABILITY
(today)
Events
impacting
RESILIENCE
(today)
Events impacting
RELIABILITY and
RESILIENCE
(future)
Aging infrastructure
Higher asset utilisation
Storm severity and frequency
Physical and cyber attacks
Resiliency is multi-faceted
 Transmission networks have inherent resiliency due to N-1-1, N-2, etc
 Network operators have been managing risk forever
 Resiliency planning requires a systems based approach
From Sandia National Laboratories Report SAND2014-18019, “Conceptual Framework for Developing
Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States”, September 2015
Operations
Planning
Prepare  Withstand  Adapt  Recover  REPEAT
 Natural disaster
 Severe weather
 Geomagnetic storms
 Cyber/physical attack
 EMP
 System topology
 Geography
 Asset condition
 Security culture
 Health and safety
 Basic service interruption
 Macro-economic
 Reputational
 Fiscal impact
ASSESS
DESCRIBE
QUANTIFY
You get the consequences you don’t pay for!
Network resiliency tool kit
Operational preparedness
•Peak readiness
•Mobile plant and stockpiles
•Restoration strategies
•Forecasting
•Standby crews and gensets
•Real time situational awareness
Hardening
•N-1-1, N-2, N-3
•Line route diversity
•Islanding
•Undergrounding cables
•Increased standards
Technology
•Micro grid
•Controllable DER
•Fault detection
•Self healing
Resiliency spending to date
 Operational preparedness is a mature component of resiliency
– Increasing prevalence of real-time tools
– Focus is on Adapt and Recover
 Hardening is occurring – often in response to major events
– Québec and Ontario post 1998 ice-storm
• Higher standards, new equipment  big spend
– Superstorm Sandy 2012
• Undergrounding and path diversity from Southern US right up to Ontario
 Technology based resiliency spending has been held back – why?
– Mostly pilot and demonstration projects as technology trials
– No large scale integration as part of Business As Usual
Regulated cost recovery is made for reliability
 Asset owners expect a fair return on capital in exchange for economic regulation
 Regulators have required service guarantees under an agreed framework (load
growth forecast, reliability criteria)
– High probability, low impact disturbances
 Postage stamp tariff
– Uniform service for all whether it is wanted or not
 What about High Impact, Low Probability Events?
– Who benefits and do they care?
 Little incentive for resiliency based technology spend
Quantifying the benefits of resiliency
 Total Benefits = Avoided grid costs + Avoided societal costs + Societal benefits
 Apply the resiliency toolkit: Operations, Hardening, Technology
 Solutions must be customised to the specific threats and vulnerabilities that have
been identified
 Determine the level of resiliency you want and can afford – Value of lost load
– Duration and frequency of outages
– Breakdown by customer segment
– Quantify societal costs – human toll, property destruction, etc
 Benefits have to be valued by someone!
Positive externalities of a more resilient system
 Improved Emergency Response
– Avoided death and injury
– Responding where/when needed
 Minimised productivity loss
– Less upset to supply chains
 Increased energy efficiency
 Reduced client-side expenditure
– Less need for backup gensets, back-up feeders, etc
 Attractive to investment
– Companies value uninterrupted supply
Cost
Benefits
to grid
Societal benefits
(externalities)
Look for partners
 Sensitive loads may need better quality of service than reliability
standards provide
 Regional development agencies may wish to attract industry that
can be supplied by weak grids if strong micro grids and controllable
DER are deployed
 University campuses and hospitals really don’t like to be interrupted
 Resiliency is conferred
And once you’ve got it…
 Resiliency driven investments in micro grid and DER can be made
available for reliability based needs
– Easing peak congestion
– Deferring transmission investment
– Increasing asset utilisation
 Could it eventually be tariff neutral?
Thank you

More Related Content

Similar to Cigre canada 2016 diamond sponsor panel on resilience

Power_Grid_Resilence.pptx
Power_Grid_Resilence.pptxPower_Grid_Resilence.pptx
Power_Grid_Resilence.pptx
DrDillipKumarMishra
 
Sayon MS Thesis Presentation Draft-4
Sayon MS Thesis Presentation Draft-4Sayon MS Thesis Presentation Draft-4
Sayon MS Thesis Presentation Draft-4Sayonsom Chanda
 
Smart Grid for the CSO
Smart Grid for the CSOSmart Grid for the CSO
Smart Grid for the CSO
Andy Bochman
 
Protection Scheme in Generation Network
Protection Scheme in Generation NetworkProtection Scheme in Generation Network
Protection Scheme in Generation Network
IRJET Journal
 
Grid Protection Systems - New Technologies
Grid Protection Systems - New TechnologiesGrid Protection Systems - New Technologies
Grid Protection Systems - New TechnologiesIPPAI
 
Show & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdf
Show & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdfShow & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdf
Show & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdf
SIFOfgem
 
DistribuTECH 2016: OMNETRIC next generation outage management
DistribuTECH 2016: OMNETRIC next generation outage managementDistribuTECH 2016: OMNETRIC next generation outage management
DistribuTECH 2016: OMNETRIC next generation outage management
OMNETRIC
 
Electricity Supply Systems of the Future
Electricity Supply Systems of the FutureElectricity Supply Systems of the Future
Electricity Supply Systems of the Future
Leonardo ENERGY
 
Schneider Electric
Schneider ElectricSchneider Electric
Schneider Electric
FMA Summits
 
Business Intelligence and Data Analytics in Renewable Energy Sector
Business Intelligence and Data Analytics in Renewable Energy SectorBusiness Intelligence and Data Analytics in Renewable Energy Sector
Business Intelligence and Data Analytics in Renewable Energy Sector
Darshit Paun
 
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...John Dirkman, PE
 
Trends in Distribution Automation
Trends in Distribution AutomationTrends in Distribution Automation
Trends in Distribution Automation
Schneider Electric
 
2.3_SPIDERS Lessons and Observations_Sanborn_EPRI/SNL Microgrid
2.3_SPIDERS Lessons and Observations_Sanborn_EPRI/SNL Microgrid2.3_SPIDERS Lessons and Observations_Sanborn_EPRI/SNL Microgrid
2.3_SPIDERS Lessons and Observations_Sanborn_EPRI/SNL Microgrid
Sandia National Laboratories: Energy & Climate: Renewables
 
Smart grid challenge
Smart grid challengeSmart grid challenge
Smart grid challenge
Abhishek Kumar
 
Using Data Integration to Deliver Intelligence to Anyone, Anywhere
Using Data Integration to Deliver Intelligence to Anyone, AnywhereUsing Data Integration to Deliver Intelligence to Anyone, Anywhere
Using Data Integration to Deliver Intelligence to Anyone, Anywhere
Safe Software
 
SAIEE presentation - Power System Resilience - Why should we CARE as energy u...
SAIEE presentation - Power System Resilience - Why should we CARE as energy u...SAIEE presentation - Power System Resilience - Why should we CARE as energy u...
SAIEE presentation - Power System Resilience - Why should we CARE as energy u...
Malcolm Van Harte
 
Grid Software solutions smart grids
Grid Software solutions smart gridsGrid Software solutions smart grids
Grid Software solutions smart grids
alexa842003
 
Andrew martin - Knowledge Based Asset Integrity (KBAI™)
Andrew martin - Knowledge Based Asset Integrity (KBAI™)Andrew martin - Knowledge Based Asset Integrity (KBAI™)
Andrew martin - Knowledge Based Asset Integrity (KBAI™)Lloyd's Register Renewables
 
Accelerator Enduring Competition Challenge - Session 2
Accelerator Enduring Competition Challenge - Session 2Accelerator Enduring Competition Challenge - Session 2
Accelerator Enduring Competition Challenge - Session 2
Heather-Fiona Egan
 
Solving the maintain vs. modernization equation
Solving the maintain vs. modernization equationSolving the maintain vs. modernization equation
Solving the maintain vs. modernization equation
Schneider Electric
 

Similar to Cigre canada 2016 diamond sponsor panel on resilience (20)

Power_Grid_Resilence.pptx
Power_Grid_Resilence.pptxPower_Grid_Resilence.pptx
Power_Grid_Resilence.pptx
 
Sayon MS Thesis Presentation Draft-4
Sayon MS Thesis Presentation Draft-4Sayon MS Thesis Presentation Draft-4
Sayon MS Thesis Presentation Draft-4
 
Smart Grid for the CSO
Smart Grid for the CSOSmart Grid for the CSO
Smart Grid for the CSO
 
Protection Scheme in Generation Network
Protection Scheme in Generation NetworkProtection Scheme in Generation Network
Protection Scheme in Generation Network
 
Grid Protection Systems - New Technologies
Grid Protection Systems - New TechnologiesGrid Protection Systems - New Technologies
Grid Protection Systems - New Technologies
 
Show & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdf
Show & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdfShow & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdf
Show & Tell - Data & Digitalisation, Weather & Predictive Analytics.pdf
 
DistribuTECH 2016: OMNETRIC next generation outage management
DistribuTECH 2016: OMNETRIC next generation outage managementDistribuTECH 2016: OMNETRIC next generation outage management
DistribuTECH 2016: OMNETRIC next generation outage management
 
Electricity Supply Systems of the Future
Electricity Supply Systems of the FutureElectricity Supply Systems of the Future
Electricity Supply Systems of the Future
 
Schneider Electric
Schneider ElectricSchneider Electric
Schneider Electric
 
Business Intelligence and Data Analytics in Renewable Energy Sector
Business Intelligence and Data Analytics in Renewable Energy SectorBusiness Intelligence and Data Analytics in Renewable Energy Sector
Business Intelligence and Data Analytics in Renewable Energy Sector
 
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
Optimizing Generation, Distribution, Renewables, and Demand Response for a Sm...
 
Trends in Distribution Automation
Trends in Distribution AutomationTrends in Distribution Automation
Trends in Distribution Automation
 
2.3_SPIDERS Lessons and Observations_Sanborn_EPRI/SNL Microgrid
2.3_SPIDERS Lessons and Observations_Sanborn_EPRI/SNL Microgrid2.3_SPIDERS Lessons and Observations_Sanborn_EPRI/SNL Microgrid
2.3_SPIDERS Lessons and Observations_Sanborn_EPRI/SNL Microgrid
 
Smart grid challenge
Smart grid challengeSmart grid challenge
Smart grid challenge
 
Using Data Integration to Deliver Intelligence to Anyone, Anywhere
Using Data Integration to Deliver Intelligence to Anyone, AnywhereUsing Data Integration to Deliver Intelligence to Anyone, Anywhere
Using Data Integration to Deliver Intelligence to Anyone, Anywhere
 
SAIEE presentation - Power System Resilience - Why should we CARE as energy u...
SAIEE presentation - Power System Resilience - Why should we CARE as energy u...SAIEE presentation - Power System Resilience - Why should we CARE as energy u...
SAIEE presentation - Power System Resilience - Why should we CARE as energy u...
 
Grid Software solutions smart grids
Grid Software solutions smart gridsGrid Software solutions smart grids
Grid Software solutions smart grids
 
Andrew martin - Knowledge Based Asset Integrity (KBAI™)
Andrew martin - Knowledge Based Asset Integrity (KBAI™)Andrew martin - Knowledge Based Asset Integrity (KBAI™)
Andrew martin - Knowledge Based Asset Integrity (KBAI™)
 
Accelerator Enduring Competition Challenge - Session 2
Accelerator Enduring Competition Challenge - Session 2Accelerator Enduring Competition Challenge - Session 2
Accelerator Enduring Competition Challenge - Session 2
 
Solving the maintain vs. modernization equation
Solving the maintain vs. modernization equationSolving the maintain vs. modernization equation
Solving the maintain vs. modernization equation
 

Recently uploaded

power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
ViniHema
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
Jayaprasanna4
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
abh.arya
 
Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
TeeVichai
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
bakpo1
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
Amil Baba Dawood bangali
 
ethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.pptethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.ppt
Jayaprasanna4
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Dr.Costas Sachpazis
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
Robbie Edward Sayers
 
MCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdfMCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdf
Osamah Alsalih
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
Forklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella PartsForklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella Parts
Intella Parts
 
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSETECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
DuvanRamosGarzon1
 
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
H.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdfH.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdf
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
MLILAB
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
DESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docxDESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docx
FluxPrime1
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
AhmedHussein950959
 

Recently uploaded (20)

power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
 
ethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.pptethical hacking-mobile hacking methods.ppt
ethical hacking-mobile hacking methods.ppt
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
 
ethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.pptethical hacking in wireless-hacking1.ppt
ethical hacking in wireless-hacking1.ppt
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
MCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdfMCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdf
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
Forklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella PartsForklift Classes Overview by Intella Parts
Forklift Classes Overview by Intella Parts
 
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSETECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
 
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
H.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdfH.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdf
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
DESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docxDESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docx
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
 

Cigre canada 2016 diamond sponsor panel on resilience

  • 1. CIGRÉ Canada Panel Session - “What is Network Resiliency?” Vancouver, BC - Wednesday, October 19th, 2016 Presented by Marc Brunet-Watson, P. Eng Director – Power Networks - PSC North America The Business Case for Resiliency
  • 2. I won’t be talking technology  Understanding Resiliency  What is holding back investment?  Quantifying benefits of resiliency
  • 3. Trying to define resiliency  Preparing for and adapting to changing conditions – Resiliency time frames can vary from seconds to decades – Planning horizons are becoming blurred  Withstanding and rapidly recovering from disruption – Deliberate attack (PG&E transformers, Ukraine SCADA hack) – Naturally occurring events (weather, earthquake) – Regulation, technology, etc…  One measure of the resilience of any system is the speed and return to equilibrium following a disturbance – Time (before, initiation, duration) – Severity  Resilience is a trajectory
  • 4. Reliability versus Resiliency  They are not the same thing – The difference increases with system complexity  Reliability is a measure of service – Focuses on impact to grid – Service standard is explicit and inflexible  Resiliency is related to risks & consequences – Considers impacts beyond the grid – Service standard is flexible and poorly defined Direct recovery Regulated Cap Ex Destruction & Mayhem Some direct recovery Regulated Op Ex Cost recovery at risk Societal impact and regulated revenue  Managing risk is different than eliminating it
  • 5. Will the two Rs converge? Likelihood/ probability Consequences Events impacting RELIABILITY (today) Events impacting RESILIENCE (today) Events impacting RELIABILITY and RESILIENCE (future) Aging infrastructure Higher asset utilisation Storm severity and frequency Physical and cyber attacks
  • 6. Resiliency is multi-faceted  Transmission networks have inherent resiliency due to N-1-1, N-2, etc  Network operators have been managing risk forever  Resiliency planning requires a systems based approach From Sandia National Laboratories Report SAND2014-18019, “Conceptual Framework for Developing Resilience Metrics for the Electricity, Oil, and Gas Sectors in the United States”, September 2015 Operations Planning Prepare  Withstand  Adapt  Recover  REPEAT
  • 7.  Natural disaster  Severe weather  Geomagnetic storms  Cyber/physical attack  EMP  System topology  Geography  Asset condition  Security culture  Health and safety  Basic service interruption  Macro-economic  Reputational  Fiscal impact ASSESS DESCRIBE QUANTIFY You get the consequences you don’t pay for!
  • 8. Network resiliency tool kit Operational preparedness •Peak readiness •Mobile plant and stockpiles •Restoration strategies •Forecasting •Standby crews and gensets •Real time situational awareness Hardening •N-1-1, N-2, N-3 •Line route diversity •Islanding •Undergrounding cables •Increased standards Technology •Micro grid •Controllable DER •Fault detection •Self healing
  • 9. Resiliency spending to date  Operational preparedness is a mature component of resiliency – Increasing prevalence of real-time tools – Focus is on Adapt and Recover  Hardening is occurring – often in response to major events – Québec and Ontario post 1998 ice-storm • Higher standards, new equipment  big spend – Superstorm Sandy 2012 • Undergrounding and path diversity from Southern US right up to Ontario  Technology based resiliency spending has been held back – why? – Mostly pilot and demonstration projects as technology trials – No large scale integration as part of Business As Usual
  • 10. Regulated cost recovery is made for reliability  Asset owners expect a fair return on capital in exchange for economic regulation  Regulators have required service guarantees under an agreed framework (load growth forecast, reliability criteria) – High probability, low impact disturbances  Postage stamp tariff – Uniform service for all whether it is wanted or not  What about High Impact, Low Probability Events? – Who benefits and do they care?  Little incentive for resiliency based technology spend
  • 11. Quantifying the benefits of resiliency  Total Benefits = Avoided grid costs + Avoided societal costs + Societal benefits  Apply the resiliency toolkit: Operations, Hardening, Technology  Solutions must be customised to the specific threats and vulnerabilities that have been identified  Determine the level of resiliency you want and can afford – Value of lost load – Duration and frequency of outages – Breakdown by customer segment – Quantify societal costs – human toll, property destruction, etc  Benefits have to be valued by someone!
  • 12. Positive externalities of a more resilient system  Improved Emergency Response – Avoided death and injury – Responding where/when needed  Minimised productivity loss – Less upset to supply chains  Increased energy efficiency  Reduced client-side expenditure – Less need for backup gensets, back-up feeders, etc  Attractive to investment – Companies value uninterrupted supply Cost Benefits to grid Societal benefits (externalities)
  • 13. Look for partners  Sensitive loads may need better quality of service than reliability standards provide  Regional development agencies may wish to attract industry that can be supplied by weak grids if strong micro grids and controllable DER are deployed  University campuses and hospitals really don’t like to be interrupted  Resiliency is conferred
  • 14. And once you’ve got it…  Resiliency driven investments in micro grid and DER can be made available for reliability based needs – Easing peak congestion – Deferring transmission investment – Increasing asset utilisation  Could it eventually be tariff neutral?