This presentation discusses how smart grids may perform during crisis situations like severe storms. It questions whether smart grid planning fully considers crisis management. Control rooms may struggle with increased data from smart grids during emergencies. Case studies on self-healing networks show benefits but also risks to consider. Customers may not be ready for potential smart grid reliability issues in crises. The presentation recommends a gradual, phased approach to smart grid deployment that first focuses on reliability.
Looking to the past to understand the future
To understand fully the future direction of the oil and gas sector here in WA, it is important to consider and recognise the recent history and current challenges being experienced. This history and current challenges formed the first section of the presentation highlighting the scale of expansion of the industry here over the past decade, where we have moved from around 20mtpa LNG to a anticipated output level of some 50mtpa in WA alone, which, when combined with the additional capacity being constructed in QLD and NT will make Australia the world’s largest exporter of LNG by the end of this decade.
Looking to the past to understand the future
To understand fully the future direction of the oil and gas sector here in WA, it is important to consider and recognise the recent history and current challenges being experienced. This history and current challenges formed the first section of the presentation highlighting the scale of expansion of the industry here over the past decade, where we have moved from around 20mtpa LNG to a anticipated output level of some 50mtpa in WA alone, which, when combined with the additional capacity being constructed in QLD and NT will make Australia the world’s largest exporter of LNG by the end of this decade.
SE4SG 2013 : Towards a Constraint Based Approach for Self-Healing Smart GridsJenny Liu
SE4SG 2013 Presentation by Vasileios Koutsoumpas at 2nd International Workshop on Software Engineering Challenges for the Smart Grid.
Please cite our workshop at
Ian Gorton, Yan Liu, Heiko Koziolek, Anne Koziolek, and Mazeiar Salehie. 2013. 2nd international workshop on software engineering challenges for the smart grid (SE4SG 2013). In Proceedings of the 2013 International Conference on Software Engineering (ICSE '13). IEEE Press, Piscataway, NJ, USA, 1553-1554.
Andreas Sumper
CITCEA-UPC
WORKSHOP: “DEFINING SMART GRIDS: CONDITIONS FOR SUCCESSFUL IMPLEMENTATION”
SESSION 2: SMART GRIDS CHALLENGES: THE VISION OF TECHNOLOGICAL CENTRES
Barcelona, 9th February 2017
Organised by TR@NSENER Consortium.
TR@NSENER - European cooperation Network on Energy Transition in Electricity
A flywheel, in essence is a mechanical battery - simply a mass rotating about an axis.Flywheels store energy mechanically in the form of kinetic energy.They take an electrical input to accelerate the rotor up to speed by using the built-in motor, and return the electrical energy by using this same motor as a generator.Flywheels are one of the most promising technologies for replacing conventional lead acid batteries as energy storage systems.
RENEWABLE energy sources will have a key role in supplying energy in the future. There are several issues regarding large scale integration of new renewable into the power system. One of the problems is the security of supply. These energy sources will provide energy, or not provide, independent of the demand. The output power can also have relatively large variations within a short time span. A solution to this problem is the concept of energy storage, and there are several different concepts. There are devices which can store large amounts of energy, but do not react so fast. In the other end there are fast acting devices which store smaller amounts of energy.
Apple's Smart Sensor Technologies -- market research report (sample)MEMS Journal, Inc.
This comprehensive 204-page report covers the latest and emerging sensors, microsystems, and MEMS technologies which Apple is developing and using for its products including the iPhone and the Watch. To order the full version, please go here: https://fs8.formsite.com/medved44/form33/index.html
SE4SG 2013 : Towards a Constraint Based Approach for Self-Healing Smart GridsJenny Liu
SE4SG 2013 Presentation by Vasileios Koutsoumpas at 2nd International Workshop on Software Engineering Challenges for the Smart Grid.
Please cite our workshop at
Ian Gorton, Yan Liu, Heiko Koziolek, Anne Koziolek, and Mazeiar Salehie. 2013. 2nd international workshop on software engineering challenges for the smart grid (SE4SG 2013). In Proceedings of the 2013 International Conference on Software Engineering (ICSE '13). IEEE Press, Piscataway, NJ, USA, 1553-1554.
Andreas Sumper
CITCEA-UPC
WORKSHOP: “DEFINING SMART GRIDS: CONDITIONS FOR SUCCESSFUL IMPLEMENTATION”
SESSION 2: SMART GRIDS CHALLENGES: THE VISION OF TECHNOLOGICAL CENTRES
Barcelona, 9th February 2017
Organised by TR@NSENER Consortium.
TR@NSENER - European cooperation Network on Energy Transition in Electricity
A flywheel, in essence is a mechanical battery - simply a mass rotating about an axis.Flywheels store energy mechanically in the form of kinetic energy.They take an electrical input to accelerate the rotor up to speed by using the built-in motor, and return the electrical energy by using this same motor as a generator.Flywheels are one of the most promising technologies for replacing conventional lead acid batteries as energy storage systems.
RENEWABLE energy sources will have a key role in supplying energy in the future. There are several issues regarding large scale integration of new renewable into the power system. One of the problems is the security of supply. These energy sources will provide energy, or not provide, independent of the demand. The output power can also have relatively large variations within a short time span. A solution to this problem is the concept of energy storage, and there are several different concepts. There are devices which can store large amounts of energy, but do not react so fast. In the other end there are fast acting devices which store smaller amounts of energy.
Apple's Smart Sensor Technologies -- market research report (sample)MEMS Journal, Inc.
This comprehensive 204-page report covers the latest and emerging sensors, microsystems, and MEMS technologies which Apple is developing and using for its products including the iPhone and the Watch. To order the full version, please go here: https://fs8.formsite.com/medved44/form33/index.html
FPGA Undervolting and Checkpointing for Energy-Efficiency and Error-ResiliencyLEGATO project
Tutorial by Behzad Salami, Osman Unsal and Leonardo Bautista at 30th International Conference on Field-Programmable Logic and Applications (FPL2020), 3 September 2020
Zuken - Gigabit LVDS Signaling on a PCB assisted by Simulation and S-Paramete...Zuken
Presentation covers:
Low Voltage Differential Signalling (LVDS)
- Why LVDS is so popular
- How LVDS works
- Pushing the envelope
Essential PCB Routing Considerations
- Designing for low-cost manufacture
- Limitations of hardware compensation
- Benefits of routing tuning
- Propagation modes
Basics of S-Parameters
- Time domain/frequency domain conflicts in simulation
- Transforming frequency-domain models for time-domain simulation
Simulation
- When simulation is essential
- Putting it together
Presentation from the EPRI-Sandia Symposium on Secure and Resilient Microgrids: Practical Implementation of Microgrid Control, Protection, and Communications, presented by Scott Manson, SEL, Baltimore, MD, August 29-31, 2016.
Speaker: Dr Jinzhu Xia, Head Consultant, Marine, Granherne, Australia
Date: Tuesday, 6 March 2012
Hosted by: WA Oil & Gas Facilities Group a co-venture between Engineers Australia and the Society of Petroleum Engineers (SPE)
The EPCM of writing tenders: How engineers can successfully build compelling ...Engineers Australia
Date: Tuesday, 7 February 2012
Presenters: David Lunn BEng, MBA and Nigel Dennis BEng, MBA, GAICD Joint owners and directors of Bid Write Pty Ltd
Hosted by: WA Oil & Gas Facilities Group a co-venture between Engineers Australia and the Society of Petroleum Engineers (SPE)
2. Smart Grids – do they fit into a real network?
Laurie Curro, NPER, IEEE, B.Eng, MEng.Sc, Practice Leader Smart Grids
3. Agenda
• Is our level of thinking on smart grids embedding
crisis management?
• Are we planning smart grids that can improve
services to customers even at crisis times – or do we
assume they won’t occur?
• Are control rooms ready for this?
• Case study – Self Healing networks
• Are customers ready for smart grids?
4. Smart Grid - high level characteristics
• Self-Healing and Adaptive
• Interactive with consumers and markets
• Optimized to make best use of resources and equipment
• Predictive rather than reactive, to prevent emergencies
• Distributed across geographical and organisational
boundaries
• Integrated, merging monitoring, control, protection,
maintenance, EMS, DMS, marketing, and IT
• More secure from attack
6. Typical smart grid components
• Smart meters
• Renewable energy sources
• Home area networks
• Communication infrastructure
• Electric vehicles
• Intelligent appliances
• Grid side intelligent components
In addition to an operating grid
7. Storm impact scenario
• Vegetation clashing either through strong winds or
water logging
• Conductor clashing
• Flying debris
• Water ingress
• Pole movement or fall Resulting
• Other plant failure e.g. cross arms, cables, in
switches, etc
• Third parties e.g. car versus pole
• In extreme conditions hail, ice
• No power
• Part power
• Dim power
• Intermittent power
8. Voltage Excursion scenario
Severe
Real voltage response at EP vs simulation using existing load model
with load rejection
transmission
1.1
1
fault
0.9
0.8
0.7
voltage (pu)
Simulated V
0.6 Real V
0.5
0.4
0.3 Resulting
0.2
0.1
0
in
-0.1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 1.4
time (s)
Fault clearance in approx 100 to 250 m
Considerable load rejection
Temporary over voltage
Tap chargers requiring up to one minute to re- adjust to a balance set point
Unbalanced voltages
9. Frequency Excursion Scenario
Sudden
shutdown of
Frequency
one machine or
50.2
more
50
49.8
49.6 Resulting
49.4 Fr…
49.2
in
49
48.8
48.6
0 50 100 150 200 250
Low frequency (47.5<f<50 Hz, for a 50 Hz system) for a period
of a few cycles to many seconds
Under frequency load shedding operated with up to 70% load
lost depending on how low the frequency reached.
10. Impact on smart grid components
Distributed energy May disconnect due to voltage instability
storage May discharge unnecessarily
Maybe damaged
Electric Vehicles May disconnect due to voltage instability
Fault locating equipment Should be operational
Sectionalising switches Should be operational
Condition monitoring Should be operational
Self healing intelligence Maybe operational
both centralised and Maybe inundated with data and not be capable of operating
localised
Distribution Maybe inundated with data and not be capable of operating
management systems
(local and centralised
Backbone and last mile Maybe be swamped with data and essential communications
communications Maybe inundated with un necessary data and not be capable of
infrastructure operating or bottlenecked
Firewalls, High levels/Excess traffic
Home area networks Unknown level of reliability
Energy management Unknown level of reliability
services e.g. portals
Load following May be lost
Load monitoring Should be available but the data may not be reliable due to load
rejection possibilities
Intelligent appliances Unknown level of reliability
11. Data issues
• Avalanche management
• Priority of data
• Latency of data
• Separation of data
• Back office systems
• Customer data
12. A view from the control room
• Distribution system control room
• Designed and adapts to deal with large numbers of random
events
• How to manage the escalated level of information?
• Data avalanches
• Filter out critical parts
• Priorities
• Security of supply
• Critical customers
• Safety
UNLIKELY MUCH WILL CHANGE IN THE WAY THESE EVENTS
WILL BE MANAGED IN NEAR FUTURE
13. A view from the customer
Present day important issues
• Price of the service
• Value for money
• Reliability of service
• Supply security
14. A view from the customer
Is this a likely outcome?
• Loss of Supply or grid connection (total or partial)
• Some appliances may not be operating or struggling to
do so
• Information is lost or arriving with latency (IHD)
• Internet portals may not be available
• Utility not reachable (call avalanche)
• Limited onsite energy storage
• Unknown status of electric vehicle (is it charged or have
the grid requirements discharged it)
• Premise takes on a survival position
16. SELF HEALING - Defined
Referring to a network or sub network that has the ability to sense, diagnose, isolate,
and at least temporarily correct a fault or performance condition without human
intervention.
Feeder 1 OPEN OPEN CLOSE
Feeder 2
OCB OCB
RECLOSE fault
Autopilot!
Feeder 4 Feeder 3
OCB OCB
17. SELF HEALING – 3 critical elements
Communications Power networks
world world
•Status information
•Built In diagnostics e.g. TDR
•Diagnostics are on line Discovery •Line fault indication
•Additional comms/SCADA
•Diversity in layers •Alternative feeders
•Already feeding data
•Independent of physical layer Alternative routing •Capacity is available
•Smart routing •Switching capability
•Drivers could be different
•Capacity may not be an issue
Switching Capability •Break before make
•Some loss of supply
•No loss of service
18. Why do you need to be careful?
This is business as usual
20. SELF HEALING – risks involved
•Incomplete status information
•Reliability if overhead line fault
Discovery indicators
•Unknown unknowns
•Load growth – load peaks
Alternative routing •Alternative feeders
•Capacity is available
•Switching capability
•Cold load pick up
Switching Capability •Switching transients
•Secondary faults?
21. Benefits
• Reliability
• Restoration (or CAIDI) benefit of customers
• Doesn't avoid the fault
Other benefits
• Move load to avoid unexpected peaks
• Manage voltage issues
• Increase security in some areas for short periods of time
• Can you use self healing to ignore maintenance?
22. Costs / Issues
• Planning criteria
• Cost of redundancy
• Cost of alternative paths
• Business process issues & changes
• Expectation management
• Risk benefit – trade off
• Operational Safety implications
• LV & HV open points
• System can become alive!!
23. SP-AusNet Experience
• Configuration management is paramount
• Automate the associated work processes wherever possible
• Need to be able to rely on your network data
• Implementing these schemes requires a collaborative
organisational effort (typically involves multiple
Divisions/Departments etc.)
• Need to win the hearts and minds of the network controllers in order
to be successful (and this takes time and effort)
• If you have built the applications outside of an integrated technology
platform arena you need to have a long-term plan in place to
ultimately transition it into a formal DMS/OMS environment.
24. Western Power Experience
• Concentrated on Hazard & risk Identification
• Software trial- listening mode approach on DMS
• Flow Chart of Automated Feeder restoration
• Established Principles of operation
• Maximum number of customers restored
• Minimum switching required
• Critical customer restoration
• Established Rules
• Operational Requirements
• Time delay issues - communications specific
• Minimise the dead time <2minutes
• Work practice issues
25. Western Power Experience
Other Issues for Consideration
• Protection reach
• Voltage constraints
• Conflicting schemes
• Under Frequency load shedding (UFLS)
• Under-voltage load shedding (UVLS)
• Sensitive earth fault protection
• Other solutions maybe better eg edge of grid locations
26. Conclusions
• It is likely that the performance and impact of severe events has not been covered in
most smart grid strategy or implementations planning
• It is important that a glide path for smart grid technology recognises the practicalities of
existing networks
• Issues such as security of supply to customers need to be considered - In the case of
the phone revolution this was not seen as critical as in that case extra services were
provided.
• Most of the efforts to date seem to concentrate on benefits realisation or technology
development
• The deployment of smart grid should adopt an initial mantra of “keeping it simple” in
order to realise benefits
• It is unlikely that customers are ready – customer behaviour changes are needed
• Gradual, considered and phased and considered approach is recommended - It may
take a generation to turn customers around.
27. Thank you for listening.
Questions Please
(SKM acknowledges the contributions of
SPAusNet and Western Power to this
presentation)