Energy storage at various scales can be the key to integrating large amounts of renewable generating resources into the electric power system. Growth of storage is advanced by a combination of policies and economics. Presentation for the Portuguese National Committee of CIGRE, 2017.
Streamlining Python Development: A Guide to a Modern Project Setup
The Role of Energy Storage in the Future Electricity System
1. The Role of Energy Storage in the
Future Electricity System
Lorenzo Kristov, Ph.D.
Principal, Market & Infrastructure Policy
Presentation for Portuguese National Committee of CIGRE
March 17, 2017
3. Topics of this presentation
Ø Some facts about California ISO
Ø California’s energy policies and policy objectives
Ø Challenges to achieving the policy objectives
Ø A diverse toolkit for addressing the challenges
Ø Storage as the potential game changer
Ø Challenges to bringing storage on at scale
Ø How California is addressing these challenges
Ø Big questions and works in progress
Ø A vision of a possible future
Page 3
4. California Independent System Operator
§ 71,800 MW of power plant capacity
(installed capacity)
§ 50,270 MW record peak demand
(July 24, 2006)
§ 27,488 market transactions
per day (2015)
§ 25,685 circuit-miles of transmission
lines
§ 30 million people served
§ 240 million megawatt-hours of
electricity delivered annually (2015)
§ Not-for-profit public benefit
corporation
Page 4
5. Western Electricity Coordinating
Council (WECC):
• 38 of 76 balancing authorities are
in WECC
• Serves a population of
approximately 82.2 million
• Spans more than 1.8 million
square miles in all or part of 14
states
• In 2014, the balancing authorities
reported a total nameplate
capacity of 275,400 MW
WECC
BC
WA
OR
MT (p)
ID SD (p)
NV
UT
AZ NM(p)
CO (p)
NE (p)
TX (p)
WY
CFE
CA
AB
Two-thirds of the United States is served by
independent system operators (ISO/RTOs)
Quebec
Interconnection
Interconnection
Eastern
Interconnection
Page 5
7. California ISO is fully committed to achieving the
state’s energy and environmental policy objectives.
California’s policy objectives:
– Broad de-carbonization of the California economy
– Low-carbon, reliable electricity system
– Growth of distributed generation
– Customer choice for adoption of distributed resources
and devices of all types
– Environmental justice
– Greater resilience through community resources and
micro-grids
Page 7
8. Energy and environmental policy targets
2020 Policy Goals
• Greenhouse gas reductions to 1990 levels
• 33% of load served by renewable generation
• 12,000 MW of distributed generation
• End use of once-through cooling in coastal power plants
• 1,325 MW of energy storage
2025 Policy Goal
• 1.5 million electric vehicles
2030 Policy Goals
• 50% of load served by renewable generation
• Double energy efficiency of existing buildings
• Greenhouse gas reductions to 40% below 1990 levels
New legislation introduced
• 100% renewable generation by 2045
Page 8
9. 5,000 MW of additional transmission-connected
renewables by 2020 (mostly Solar PV)
(IOU data through 2017 and RPS Calculator data 2018 – 2020)
Page 9
10. Distributed Solar PV in California
2015 2016 2017 2018 2019 2020 2021
BTM Solar PV 3,695 4,903 5,976 7,054 8,146 9,309 10,385
0
2,000
4,000
6,000
8,000
10,000
12,000
MW
Estimated Behind the Meter Solar PV Build-outthrough 2021
Page 10
11. Achieving the objectives entails some challenges.
– Severe system load shape effects – the “duck” curve
– Real-time variability of renewable energy production
– Zero marginal cost energy depresses prices in the
wholesale spot market
– Distributed energy resources (DER) in the wholesale
market
– Hard-to-forecast DER adoption and behavior
– Regulatory frameworks, business models, industry
culture are all based on the traditional paradigm:
centralized generation and one-way power flows
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12. Recent events surpass previous expectations of net load
and afternoon ramp with higher solar generation.
Typical Spring Day
Net Load 11,663
MW on May 15,
2016
Slide 12
Actual 3-hour ramp
12,960 MW on Dec.
18, 2016
13. Solar production varies from one day to the next – first
week of March 2014
-500
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
6 7 8 9 10 11 12 13 14 15 16 17 18
Day_1 Day_2 Day_3 Day_4 Day_5 Day_6 Day_7 Average
Average
MW
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14. Wind production varies from one day to the next – first
week of March 2014
0
500
1,000
1,500
2,000
2,500
3,000
3,500
0 1 2 3 3 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Day_1 Day_2 Day_3 Day_4 Day_5 Day_6 Day_7 Average
Average
MW
Page 14
15. These challenges are all manageable with a toolkit
of complementary strategies.
– Integrate renewables with controllable/dispatchable renewables
– Wholesale market models to enable DER and storage participation
– New coordination framework between ISO and distribution utilities
for T-D interface operations and integrated planning
– Use DER to flatten load profiles and mitigate variability locally
– Price signals to incentivize work-place EV charging and other uses
of plentiful daytime solar energy
– Aggregate DER for dynamic demand management
– Regional coordination to optimize diversity benefits
– Micro-grids for local resilience
– Whole-system grid architecture for a more decentralized system
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16. Storage could be the game changer.
• Energy storage of various types and scales could meet
the challenges of high-volume solar PV
– At grid-scale: charge at low/negative over-gen prices &
make good use of mid-day excess supply
– Co-locate with utility-scale PV and wind to smooth output
to the grid
– Discharge to mitigate steep ramp & late afternoon peak
– Provide 2-way demand response, frequency response
and regulation
– With rooftop PV: minimize back-flow on distribution, to
increase circuit “hosting capacity”
– Manage local variability locally & flatten load profiles
17. Bringing storage on at scale has some challenges, and
requires paradigm shift to focus on energy uses.
• Value storage services, not just kWh or kW
– Thermal storage in buildings
– De-carbonize transportation
• Key values storage could offer are not yet valued financially
or defined as revenue-producing services
– Resilience benefits
– Local mitigation of volatility and extreme load profiles
• Storage can decentralize reliability
– Improve physical and cyber security
– Support self-optimizing local systems, micro-grids
• Change in the electric system is being driven as much by
bottom-up adoption as top-down policy
– Regulators have less control, must become facilitators,
enablers of change
18. CAISO’s wholesale market model for storage.
v “Non-Generator Resource” (NGR)
– Designed for a resource that can move seamlessly between
consuming and injecting energy at different times
– Market optimization manages storage characteristics including
state of charge (SOC), maximum charge amount (limit on total
energy it can provide), maximum charge and discharge rates
– Resource can choose to have ISO manage SOC, or manage
itself and bid SOC
– Can be used by transmission-connected and distribution-
connected resources
– Can interconnect to ISO grid under our normal interconnection
procedures – as a generator with negative output
– Can provide regulation and other ancillary services
– Visible to ISO and settled 24x7 (comparable to a generator)
– Does not use baselines to measure performance
Page 18
19. Examples of NGRs operating today
v Utility-scale batteries
– 2014 market operational – Vaca Dixon 2 MW / 14 MWh NAS battery,
100% dedicated to ISO wholesale market participation
– 2016 market operational – Yerba Buena 4 MW / 28 MWh NAS battery,
customer R&D facility, San Jose.
Half energy reserved for islanding/backup for adjacent customer
facility
– 2016 market operational – SCE Tehachapi wind farm, 8 MW/32MWh
v Aggregation of electric vehicles: Los Angeles Air Force Base
– Bi-directional power flow (V2G)
– 500-600 kW capacity
– V2G capable sedans, trucks, vans
– Began ISO market participation December 2015
– Partnership effort between DOD, SCE, CPUC, CEC, ISO, Lawrence
Berkeley National Labs, Kisensum, and others.
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20. Storage behind the meter can participate as demand
response.
v Proxy Demand Resource (PDR)
– Accommodates traditional load curtailment and behind-the-
meter (BTM) devices such as energy storage
– May be metered at load meter as traditional DR or via sub-
metering of BTM devices to measure performance
– In all cases DR performance is calculated against a baseline
– PDR can be an aggregation of service accounts in a sub-LAP
– DR cannot inject energy into the grid (only load modification)
– Currently can only be dispatched to reduce demand
– Not a 24x7 resource; only available when bid per program or
resource availability parameters
v Future PDR enhancements:
– Dispatch to increase consumption; provision of regulation
– New performance evaluation baselines to fit diverse end-uses
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21. Examples of PDR
v AMS model: Battery behind commercial building meter manages
demand charges
– Aggregation of multiple sites forms PDR in ISO market
– DR response is measured at the batteries, not the premises
– DR response is measured against “normal” battery operation
based on recent similar non-dispatch hours
– Energy consumed to charge battery is simply retail load
v Future PDR enhancement example
– PDR bids to “consume energy” at negative wholesale prices
• If the negative bid is economic, the ISO will dispatch and pay the
PDR for energy consumed at the LMP
• ISO payment partially offsets retail rate for load
– PDR can bid to provide regulation down by increasing
consumption
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22. DERP is a market participant that aggregates DER.
v Distributed Energy Resource Provider (DERP)
– Executes DERP agreement with ISO, may create multiple DER
aggregations (DERAs), each containing different sub-resources
– A DERA may mix DER types, as long as resource performance
characteristics can be modeled in ISO market system
– DERA and sub-resources are all directly metered: no baselines
– Sub-resources of a DERA must all be within a single sub-LAP
– Minimum DERA size is 0.5 MW; maximum size 20 MW if aggregating
across multiple p-nodes (LMP pricing nodes, T-D substations)
– Individual sub-resources must be less than 1.0 MW
– A DERA across multiple ISO p-nodes must specify distribution factors
and must follow same distribution factors in response to ISO dispatch
– Resource will utilize NGR model (allows injections, settled 24x7, does
not use baselines)
– Resource cannot contain sub-resources participating in NEM
– Resource cannot contain DR sub-resources using a baseline
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23. Storage resources seek to provide multiple services and
earn revenues at multiple levels of the system.
v Behind the end-use customer meter
– Time of day load shifting, demand charge management,
storage of excess solar generation
– Service resilience – smart buildings, microgrids, critical loads
v Distribution system services
– Deferral of new infrastructure
– Operational services – voltage, power quality
v Transmission system & wholesale market
– ISO spot markets for energy, reserves, regulation
– Non-wires alternatives to transmission upgrades
v Bilateral contracts with load-serving entities
– Resource adequacy capacity
– Renewable energy
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24. High DER penetration requires enhanced operations
coordination at T-D interfaces.
v Diverse end-use devices and resources with diverse owners/
operators will affect:
o Net end-use load shapes, peak demands, total energy
o Direction of energy flows, voltage variability, phase balance
o Variability and predictability of net loads and grid conditions
v ISO market systems see DER at T-D substations, have no visibility
to distribution grid conditions or impacts; distribution utility is not
aware of DER bids and dispatches
v DER providing services to customers and distribution system will
affect the T-D interfaces; need accurate real-time forecasting and
local management of DER variability
v CAISO has been working with distribution utilities to develop an
operations coordination framework for high penetration of DER
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25. Big questions and works in progress
v Future revenue opportunities for storage
– Synthetic inertia, primary frequency response (governor)
– Resilience – smart building, community micro-grid islanding
– Storage as transmission or distribution asset
v Multiple-use applications (MUA)
– Resource can provide services to and earn revenue from more than
one entity (customer, distribution operator, transmission/wholesale)
– CAISO and CPUC are developing MUA rules for storage (e.g.,
dispatch priority; double payment; wholesale/retail)
v DSOs, local electricity markets and micro-grid systems
– New distribution system operator (DSO) models may expand
opportunities for distribution-level storage
– We need an “open access” regulatory framework for DSOs analogous
to wholesale market framework for transmission
– We need a layered reliability framework to allow hand-off of reserve
and adequacy requirements from ISO to DSO at the T-D interface
– Revisit some federal-state regulatory structures (US)
Page 25
26. DSO operates Local Distribution
Area or Community Micro-grid
Regional Interconnection
A vision of a possible future: the electricity grid as a
layered hierarchy of optimizing sub-systems.
Page 26
Smart
building
Micro-
grid
Micro-grid
D
S
O
D
S
O
ISO
Balancing
Authority
Area
BAABAA
Smart
building
Smart
building
• Storage on premises can
support self-optimizing local
electricity systems
• Each tier only needs to see
interchange with next tier
above and below, not the
details inside other tiers
• CAISO focuses on regional
bulk system optimization
while DSO coordinates
DERs
• Layered control structure
reduces complexity, allows
scalability, and increases
resilience & security
27. Sources and resources
Using renewables to integrate renewables
• http://www.caiso.com/Documents/UsingRenewablesToOperateLow-
CarbonGrid.pdf
Future Distribution Systems, Platforms and DSOs
• http://doe-dspx.org
• https://emp.lbl.gov/sites/all/files/FEUR_2%20distribution
%20systems%2020151023.pdf
Grid Architecture
• http://gridarchitecture.pnnl.gov
Decentralization and Layered Optimization
• http://resnick.caltech.edu/docs/Two_Visions.pdf
• https://www.academia.edu/12419512/
A_Future_History_of_Tomorrows_Energy_Network
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