pv-rich communities, storage, and flexibility: the need for...
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© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 1
PV-Rich Communities, Storage, and Flexibility: The Need for DSOs
15th May 2018
SBSE 2018, Niteroi - RJ, Brazil
Prof Luis(Nando) Ochoa
IEEE PES Distinguished Lecturer
Professor of Smart Grids and Power Systems
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 2
Outline
Context: Towards Smart & Low Carbon Flexibility
Challenges in PV-Rich Communities
– Impacts and Potential Solutions
– PV, Battery storage, Control strategies
– Australian (VIC) Case Study
Flexibility and the need for DSOs
– Challenges
Conclusions
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 3
Smart & Low Carbon
Bulk Generation
Homes, Schools, Shops, Businesses
Renewables have a significant role
Distributed Generation
Medium-scale renewables and storage
Controllable
New Service Markets
$
Coordinated T-D operation
Small-scale low carbon technologiesResponsive demand
Local control
Hierarchical control
Customer energy management
Centralised network managementHigh asset utilisation
High renewable harvesting
OptimisationForecasting
Real-time monitoring
Frequency responseNetwork operation
Storage
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 4
But before we get there…
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 5
Challenges in PV-Rich LV Networks
PV generation happens during the day, when many people are not at home Problems
V
Max
Min
II
V
Off-LTC
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 6
Challenges in PV-Rich HV Networks
Wide-spread PV adoption Challenges to HV networks
How can we address this?
Primary SubOLTC
Off-LTC
V
I
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 7
With existing assets
– Better tap settings for LV Off-LTCs and better voltage target for HV OLTCs
– PV inverters: curtailment, Volt-Watt, Volt-var, etc.
With new assets
– Reinforcements (transformer, conductors)
– Voltage regulation with LV OLTCs
– Active control of PV inverters
– Residential storage devices
– Community storage devices
(Some) Potential Solutions
Which are the most cost-effective solutions?
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 8
V
I
V
I
LV Networks andPV-Storage Systems
PV impacts could be avoided using batteries to store excess generation for later
Max
Min
Batteries
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 9
… but people will buy storage.
Surely, this will sort it out (?)
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 10
Storage:Off-The-Shelf Control and Sizing
Day (generation) Store the exports until full
Night (no generation) Supplies the house load until empty
Size of battery Enough to meet the average exports
Average energy production
High exports day
Storage becomes full network issues?
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 11
… Does residential storage
help mitigating PV impacts?
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 12
Australian Case StudyHV-LV Network
Victorian 22kV HV feeder
– ‘Strong’ semi-urban feeder
– 79 distribution transformers
(Pseudo) LV Networks
– Constructed based on Australian design principles
• Tx / ADMD = # customers
• # feeders (240mm240 cust.)
• Length (max equiv. lengths and # customers per feeder)
175 LV feeders, 4612 customers
~9MW of peak demand
Anonymised data
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 13
Off-The-Shelf (OTS) Storage
Designed to reduce grid imports
– Charge to capture all excess generation (negative net demand)
– Discharge to supply load (positive net demand)
PV generation starts
PV generation ends
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 14
Probabilistic Approach
Monte Carlo Analysis
– Real smart meter demand and PV generation profiles
• Anonymised data
– Summer (December – February)
– Varying locations and sizes (using regional PV stats)
– PV penetration increments of 10% (0-100%)
– Storage of 5kW, 13.5kWh
Key Metrics
– Voltage: Australian Electricity Distribution Code
– Thermal: Asset utilisation (1-hour moving avg)
– Effects on Customers: Grid Dependency
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 15
Results: Voltage Issues (LV)
Off-the-shelf (OTS) storage systems help…but to a limited extent
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 16
Results: Thermal Issues (HV)
LV networks are pretty robust
Off-the-shelf (OTS) storage systems help…but to a limited extent
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 17
Why are they unable to help?
Most storage systems are full when network problems occur
All available generation is absorbed + no adequate discharging overnight= high SOC early morning
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 18
… To what extent can a ‘smart’
storage control help?
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 19
Optimization-Based Control
It determines the daily optimal operation (QP) for the storage system to reduce/flatten grid power imports and exports
– Local information, perfect demand/generation forecast
One customer (5kWp PV System, 5kW 13.5kWh battery)
PV Only OTS OPT
SOC full
High exportsImports/Exports
are flat
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 20
Deterministic Results(100% PV)
PV Only OTS OPT
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 21
Probabilistic Results
Effective mitigation of voltage and thermal problems
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 22
… But what about the
customers?
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 23
Grid Dependence Index (GDI)
Effect of using storage on the electricity bill
𝐺𝐷𝐼 =𝑖𝑚𝑝𝑜𝑟𝑡𝑠
𝑐𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛
100% - household totally grid dependent (normal bill)
0% - household totally grid independent (no bill)
Grid
Household
consumption
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 24
Grid Dependency
Adequate control actions can benefitboth network and customers
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 25
… What about system-level
challenges?
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 26
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Aggregated Net-Demand ProfilesPV Only
Reverse power flows (22kV66kV)
Slightly reduced peak demand
!
Residential + Commercial
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 27
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Aggregated Net-Demand ProfilesPV + OTS Storage
Reverse power flows (22kV66kV)
Much less peak demand
!
Residential + Commercial
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 28
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Aggregated Net-Demand ProfilesPV + OPT Storage
No reverse power flows (22kV66kV)
Demand is reduced throughout the day
Residential + Commercial
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 29
… so, it is just a matter of
‘smart’ control
… not really
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 30
Flexibility Vision (UK Regulator)
TRANSMISSION NETWORK
DISTRIBUTION NETWORK
Renewable generators
conventional thermal generation
INDIVIDUAL PROVIDERS
Changing demand/supply in response to prices or direct signals from flexibility users.
LOCAL BALANCING
Community-based flexibility where consumers use local generation with DSR or storage, reducing the need to transport electricity.
THIRD PARTY AGREGGATION
Consumers, generators and storage can provide flexibility through an intermediary. Based on Ofgem’s
vision of flexibility
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 31
Flexibility Vision (Australia)
“Instead of building networks ‘buy’ output from DER (through retailers, aggregators or directly from customers) for locational, dynamic benefits”
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 32
Bottom-Up Flexibility: D T
Opportunities for the provision of flexibility services from distribution-connected resources
– From individual customers or aggregators
– To TSO or, in the future, to DNSPs
Resources:
– PV + Storage
– Electric Vehicles
– Demand Response
– etc.
… and who coordinates all this?
T D
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 33
Smart & Low Carbon
Bulk Generation
Homes, Schools, Shops, Businesses,
Communities
Distributed Generation
New Service Markets
$
Storage
Distribution
System Operator
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 34
… Why is this so challenging?
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 35
Current Control Philosophy(Distribution)
Grid Supply Point (GSP)
No control of LV and part of HV
Bulk Supply Point (BSP)
Primary Sub
DNSP Control Room
OLT
C
Swit
ches
OLT
C
OLTCs Coordinated Decentralised Control
Secondary Sub
Centralised Monitoring and ControlReconfiguration Manual (Remote)
Voltage Decentralised (Fixed Targets)
OLT
C
Swit
ches
Reconfiguration Manual (Local)Voltage Off-load taps
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 36
Fully Centralisedvs. Coordinated Decentralised
Fully Centralised
– Opportunity for holistic ‘optimisation’
– Full flexibility
– Increased reliance on monitoring/comms
– Increased complexity due to scale
– High deployment time
Coordinated Decentralised
– More localised ‘optimisation’ (static areas)
– Flexibility exists to centrally react to problems
– Less centralised monitoring/comms
– Less complexity due to reduced scale
– Less deployment time
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 37
… but there are many other barriers
DSOs should be capable of
– Quantifying operational needs and constraints (across voltage levels)
wide-scale observability, forecasting
– Exchanging data with the TSO and third parties (flexibility providers)
Defining Distribution Markets
– Voltage management, congestion management
– Near or post fault management (enabling islanding/microgrids)
… all this requires advanced management systems, investment, time, training, etc.
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 38
Conclusions 1/2
PV-rich communities place significant technical (and economical) challenges to DNSPs
– Simple solutions (e.g., off-LTC) might not be enough to deal with high PV penetrations
– Residential PV + storage might become more viable
Customer-focused storage control strategies might not reduce PV impacts
– Storage gets full before critical periods (around midday)
– This, however, depends on the network design
New storage control strategies can mitigate network impacts from PV without affecting customers
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 39
Conclusions 2/2
Complexity will increase with more controllable elements and the need for more flexibility
– Computational/data complexity shouldn’t be an issue in ~15 years
Regulators need to define the roles and responsibilities of players and technologies in the provision of flexibility
– E.g.: aggregators, storage
– This will prevent new business models being hindered by regulatory barriers
This transition of DNSPs to DSOs in the next few years will bring exciting new regulatory environments where the envisioned smart grids are likely to finally emerge
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 40
DSOs - Further Reading
1. L.F. Ochoa, F. Pilo, A. Keane, P. Cuffe, G. Pisano, “Embracing an adaptable, flexible posture: Ensuring that future European distribution networks are ready for more active roles,“”IEEE Power and Energy Magazine, vol 14, no 5, p 16-28, Sep/Oct 2016 (http://dx.doi.org/10.1109/MPE.2016.2579478)
2. Council of European Energy Regulators, “The future role of DSOs—A CEER conclusion paper,” Brussels, Belgium, Tech. Rep. C15-DSO-16-03, Jul 2015
3. Office of Gas and Electricity Markets, “Making the electricity system more flexible and delivering the benefits for consumers,” London, UK, Sep 2015
4. evolvDSO Project, “Development of methodologies and tools for new and evolving DSO roles for efficient DRES integration in distribution network” (http://www.evolvdso.eu/)
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 41
Technical Reports and Publications
Technical Reports (most publicly available):
https://sites.google.com/view/luisfochoa/publications/technical-reports
List of Publications (most publicly available):
Journal Papers
https://sites.google.com/view/luisfochoa/publications/journal-papers
Conference Papers
https://sites.google.com/view/luisfochoa/publications/conference-papers
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 42
Thanks!
Questions?
Acknowledgement
• Dr. Andreas ProcopiouResearch Fellow
• Mr. Kyriacos PetrouPhD Student
© 2018 L. Ochoa - The University of Melbourne PV-Rich Communities, Storage, Flexibility, and DSOs, May 2018 43
PV-Rich Communities, Storage, and Flexibility: The Need for DSOs
15th May 2018
SBSE 2018, Niteroi - RJ, Brazil
Prof Luis(Nando) Ochoa
IEEE PES Distinguished Lecturer
Professor of Smart Grids and Power Systems