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Thair Mahmoud
Optimal sizing of Battery Energy Storage Systems in microgrids
State Government-owned corporation that builds, maintains and operates electricity network throughout majority of south Western Australia
Governed by an independent Board and reports to Minister for Energy, as owner’s representative
Serving more than one million customers across a network area of 254,920 km2
Customer-orientated organisation that provides a safe, reliable and affordable electricity supply to Western Australians
Provides an essential service through transmission and distribution of electricity across our vast infrastructure of poles, wires, substations and depots
2
Source: CSIRO
Possible future scenarios for Australia’s electricity network
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Garden Island Microgrid Project
Garden Island Microgrid Project
Garden Island Microgrid Project
Garden Island Microgrid Project
Garden Island Microgrid Project
Challenges – BESS sizing in microgrids
Key microgrids BESS sizing elements
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Role
Why the microgrid solution is needed?
Location
Regulations and grid rules
Control Level
Communication and Intelligence
Placement
Network situation
Source: Microgrid Knowledge
Another microgrid case study Load and generation profiles – 2800 kW load
– 250 kW wind
– 900 kW solar PV
– 3000 kW diesel
(6x 500 kW)
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Microgrid generation cost
Required knowledge
– Cost analysis
– Controller behaviour
– Load and generation profiles
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Sizing process
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Simulate Micro grid operation scenarios
Simulate Micro grid operation scenarios
Evaluate annual energy
cost (kWh)
Evaluate annual energy
cost (kWh)
Nominate size
Nominate size
Load
12 months data
Load
12 months data
Forecasts - Load profile - Generation
profile - Fuel price
Operation rules Battery SOC & RTED Constraints (Thermal, Stability, Fault contribution & Generation Capabilities
Change size subject to - Transformer size - DC and AC bus size - Inverter specs. - Battery string size - Installation space
0
1000
2000
3000
1
24
8
49
5
74
2
98
9
12
36
kW
30 Min intervals
50000005200000540000056000005800000
1 11 21
Co
st (
$)
BESS Size X 100 kVA
Simulation results - scenarios
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Source: API Source: Synergy
Simulation results - scenarios
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Intelligent microgrid generation price monitoring
MGC
performs economic dispatch
MGC
performs economic dispatch
BESS SOC performance monitoring
BESS SOC performance monitoring
Load
12 months
data
Load
12 months
data
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Forecasts - Load profile - Generation
profile - Fuel price
Operation rules Battery SOC & RTED Constraints (Thermal, Stability, Fault contribution & Generation Capabilities)
Adapt charging price for BESS from diesel/utility
based on the weekly price change trends
Microgrid generators
dispatch
Artificial Intelligence in microgrids control
Optimal generation in microgrids
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Machine Learning
Forecasting and trends monitoring
Rule-based expert systems
Rules for battery charge/discharge
time and price
Linear-programming
Generation scheduling and
economic dispatch
Simulation results - scenarios
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Conclusion- BESS sizing problem Required size – To achieve operation requirements
Optional size – To reduce operation cost
Optimal size – Best combination of the fixed and variable size
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+ -
+ -
Op
tim
al
Var
iab
le
Fixe
d
Conclusion - BESS sizing problem
The size of BESS can be decided by the technical operation requirements
Intelligent operation of BESS can reduce the operation cost of microgrids
The optimal sizing can be decided based on the network planning studies and economic analysis
The location of microgrids can significantly affect sizing
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Electricity Networks Corporation trading as
Western Power ABN 18 540 492 861
24/7 Emergency Line 13 13 51
General Enquires 13 10 87
TTY 1800 13 13 51
TIS 13 14 50
Email [email protected]
Website westernpower.com.au
