Juergen Zimmermann, ABB Power Grids, Remote Area Power Supply Conference, March 2016
Offgrid Hybrid Power Systems
Modellin...
A global leader in power and automation technologies
Leading market positions in main businesses
~135,000
employees
Presen...
Slide 3
© ABB
Well positioned in attractive markets
March 22, 2016
Long-term market growth drivers intact
Power & Automati...
ABB Australia
Microgrid Global Centre of Competence
© ABB Group
March 22, 2016 | Slide 4
Northern
Territory
Western
Austra...
© ABB Group
March 22, 2016 | Slide 5
Energy and grid transformation
Microgrid participation
Power grid
Power grids are lar...
ABB in microgrid
A leader in technology, solutions and execution
© ABB Group
March 22, 2016 | Slide 6
© ABB
| Slide 7
ABB in microgrid
PowerStore – Grid Stabilising System
Features
 Grid Stabilising
 Scalable & Modular
 F...
ABB in microgrid
Control system with solar forecasting interface
© ABB Group
March 22, 2016 | Slide 8
Microgrid Plus syste...
Solar Forecasting
Identify Business Case during project assessment
© ABB Group
March 22, 2016 | Slide 9
Project Assessment
Solar Forecasting
HOMER Pro & ABB Microgrid Plus System
•System works with standard HOMER Pro installations
•Microgrid Plu...
HOMER Pro: Solar Forecasting with ABB PlugIn
Application Use Cases
Select Library & Define
Application
Set System Control
...
Solar Forecasting : Spinning Reserve vs PV Capacity
Application Solar/Diesel without BESS
© ABB Group
March 22, 2016 | Sli...
Solar Forecasting : PV Contribution
Solar/Diesel with BESS
© ABB Group
March 22, 2016 | Slide 13
DIESEL
3 diesel engines o...
A – Operating Parameters(Spinning Reserve)
Modelling in HOMER Pro - Solar forecasting
Solar/Diesel System
© ABB Group
Sola...
A – Operating Parameters(Spinning Reserve)
Solar-Diesel
• 3 Diesels 400 kW
• PV 150 kW
• Max Load 850 kW
• Min Load 220 kW...
 A more informed assessment leads to better design = ▼ LCOE & ▲Reliability
Solar Forecasting Benefits
© ABB Group
March 2...
 Ability to dynamically adjust system spinning reserve
Testing in ABB Microgrid Darwin Test Facility
© ABB Group
March 22...
 ABB is the leading Technology Partner for Microgrids
Summary
Identify benefits of solar forecasting early in project cyc...
© ABB
| Slide 19
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Juergen Zimmermann - ABB Australia Pty Ltd - Offgrid Hybrid Power Systems – Can Solar Forecasting reduce LCOE?

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Juergen Zimmermann delivered this presentation at the Annual Remote Area Power Supply Conference.
The Annual Remote Area Power Supply Conference program looks at reducing the cost of off-grid energy and increasing supply security.

This specialised industry forum provides a meeting place for industry stakeholders to share knowledge and experiences on traditional, hybrid and innovative power solutions in remote areas. Visit the website at: http://bit.ly/1UrfZFq

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Juergen Zimmermann - ABB Australia Pty Ltd - Offgrid Hybrid Power Systems – Can Solar Forecasting reduce LCOE?

  1. 1. Juergen Zimmermann, ABB Power Grids, Remote Area Power Supply Conference, March 2016 Offgrid Hybrid Power Systems Modelling Microgrids - Solar forecasting & LCOE
  2. 2. A global leader in power and automation technologies Leading market positions in main businesses ~135,000 employees Present in countries +100 Formed in 1988 merger of Swiss (BBC, 1891) and Swedish (ASEA, 1883) engineering companies In revenue (2015) billion 36$ © ABB Group March 22, 2016 | Slide 2
  3. 3. Slide 3 © ABB Well positioned in attractive markets March 22, 2016 Long-term market growth drivers intact Power & Automation Utilities Transport & InfrastructureIndustry Renewables Grid automation / digitalization Microgrids Smart upgrades Electrification penetration Energy storage Productivity Energy efficiency Automation penetration Internet of Things, Services and People Power quality / reliability Emerging markets Urbanization Data management Electric transport Energy efficiency Power quality / reliability Decentralized power generation Power & Automation “for the site”Power & Automation “for the grid”
  4. 4. ABB Australia Microgrid Global Centre of Competence © ABB Group March 22, 2016 | Slide 4 Northern Territory Western Australia Queensland South Australia New South Wales Victoria Tasmania Malaga, WA Henderson, WA Lilydale, Vic Moorebank, NSW * Eagle Farm, Qld Darwin, NT Brisbane, Qld Thebarton, SA Notting Hill, Vic Perth, WA ACT Kewdale, WA Truganina, Vic Norlane, Vic Chinchilla, Qld Gladstone, Qld Derrimut, Vic Lidcombe, NSW Newington, NSW
  5. 5. © ABB Group March 22, 2016 | Slide 5 Energy and grid transformation Microgrid participation Power grid Power grids are larger conventional and spread out grids with high voltage power transmission capabilities. Microgrid technology can be applied to weak grids making the network more robust. Microgrid Distributed energy resources and loads that can be operated in a controlled, coordinated way either connected to the main power grid or in “islanded”* mode. Microgrids are low or medium voltage grids without power transmission capabilities and are typically not geographically spread out. Nanogrid Low voltage grids that typically serve a single building. Microgrid technolog can be applim Islanded mode: ability to provide power independently from the main power grid
  6. 6. ABB in microgrid A leader in technology, solutions and execution © ABB Group March 22, 2016 | Slide 6
  7. 7. © ABB | Slide 7 ABB in microgrid PowerStore – Grid Stabilising System Features  Grid Stabilising  Scalable & Modular  Frequency Control  Introducing SYNTHETIC INERTIA  Voltage Control  Fault ride through  Grid forming  2.5MW in 40ft container Inverters 100 – 2,500 kVA MG 440Vac 60-120Hz 440Vac 50/60Hz Reactive Power Real Power Real Power Fixed Frequency Variable Frequency 2.9T 1,800 - 3,600 RPM Virtual Generator Flywheel Inverter 1 MWhr Li Ion Battery Real Power Battery System 22 March 2016
  8. 8. ABB in microgrid Control system with solar forecasting interface © ABB Group March 22, 2016 | Slide 8 Microgrid Plus system Specially designed networked control system responsible for efficient and reliable power flow management. • Maximizes fossil fuel savings and 0ptimizes use of renewable energy • Manages grid connection • Guarantees optimum loading and spinning reserve in fossil fuel generators • Distributed logic enhances reliability and scalability for future system expansions • Modular and scalable
  9. 9. Solar Forecasting Identify Business Case during project assessment © ABB Group March 22, 2016 | Slide 9 Project Assessment
  10. 10. Solar Forecasting HOMER Pro & ABB Microgrid Plus System •System works with standard HOMER Pro installations •Microgrid Plus PlugIn decoupled from HOMER licensing •Single installer package, training and manuals available upon request from ABB © ABB Group March 22, 2016 | Slide 10
  11. 11. HOMER Pro: Solar Forecasting with ABB PlugIn Application Use Cases Select Library & Define Application Set System Control Parameters Execute Simulation with sensitivities “Business as Usual” © ABB Group March 22, 2016 | Slide 18 Dispatcher Selection “Engine Extension” M+ Parameters Generators Dispatch “Schedule”
  12. 12. Solar Forecasting : Spinning Reserve vs PV Capacity Application Solar/Diesel without BESS © ABB Group March 22, 2016 | Slide 12 Option Impact Potential Result A Tighten the operating parameters (e.g. reduce Spinning Reserve) Reduced Operating Costs: • Lower fuel consumption & increase generator efficiency • Lower O&M costs from higher efficiency operation/less operating hours • Potential for higher PV contribution; less PV power limitation ▼ LCOE B Increase the PV capacity • Additional PV without additional Spinning Reserve capacity (compared to A) • Lower fuel consumption • Lower O&M costs from higher efficiency operation/less operating hours ▼ LCOE A – PV output + solar forecasting PV output ramps down ahead of a cloud event B- ▲PV capacity + solar forecasting Additional PV capacity possible with the added confidence of solar forecasting = firm capacity PV Output without solar forecasting PV output shows a discrete change in response to a cloud event. The systems Spinning Reserve algorithm will contain this value to cover (to an appropriate degree) the response of the PV output. Impact on Business Case Spinning ReserveAlgorithm
  13. 13. Solar Forecasting : PV Contribution Solar/Diesel with BESS © ABB Group March 22, 2016 | Slide 13 DIESEL 3 diesel engines online at minimum loading. With the added confidence of solar forecasting + PV + BESS the number of generators online reduces. Option Impact Potential Result A Tighten the Operating Parameters (e.g. Spinning Reserve) • Reduce/Optimise the BESS size leading to lower CapEx • Extend BESS lifetime: reduced cycling for day to day operation ▼ LCOE B Increase the PV capacity - Increase renewable contribution without additional Spinning reserve capacity held in the system ▼ LCOE Impact on Business CaseImpact on Business Case PV Penetration PV The opportunity of the PV to contribute to the load increases due to less diesel capacity online BESS BESS to provide stability with generatrors. Additional PV + sf + BESS ~ firm capacity Opportunity to take a generator offline..
  14. 14. A – Operating Parameters(Spinning Reserve) Modelling in HOMER Pro - Solar forecasting Solar/Diesel System © ABB Group Solar-Diesel • 3 Diesels 400 kW • PV 150 kW • Max Load 850 kW • Min Load 200 kW
  15. 15. A – Operating Parameters(Spinning Reserve) Solar-Diesel • 3 Diesels 400 kW • PV 150 kW • Max Load 850 kW • Min Load 220 kW Business case – Solar forecasting Solar/Diesel System © ABB Group Example 1 Example 2 Min number of gens online 1 2 PV Capacity (kW) 150 150 Solar Forecasting No Yes No Yes PV Penetration (%) 54.98 54.98 39.2 39.2 PV Contribution (%) 9.47 9.49 6.9 6.9 Comparative Fuel (L/yr) - 1,835 - Comparative Gen Operation (Hrs/yr) - 423 - Savings ($/yr) $ 4,364 nil Capital (solar forecasting) ~ $ 15,000 Simple Payback < 3.5 yrs NOTE: results will vary for each system
  16. 16.  A more informed assessment leads to better design = ▼ LCOE & ▲Reliability Solar Forecasting Benefits © ABB Group March 22, 2016 | Slide 18 Knowing which plant to run Image courtesy of steady-sun.com
  17. 17.  Ability to dynamically adjust system spinning reserve Testing in ABB Microgrid Darwin Test Facility © ABB Group March 22, 2016 | Slide 18 30min forecast every 1 min, integrated with Microgrid Plus Image courtesy of steady-sun.com
  18. 18.  ABB is the leading Technology Partner for Microgrids Summary Identify benefits of solar forecasting early in project cycle © ABB Group March 22, 2016 | Slide 18 1. Solar forecasting can lower solar/diesel LCOE through • System operating at more efficient generator loading levels • Lower start/stop cycles of generators; lower O&M cost • Increase PV capacity towards high penetration without BESS • Lower BESS capacity and increase battery life 2. Ability to model solar forecasting in (pre-) feasibility stage is vital to determine benefits (change of genset sizes?). 3. Camera technology and control system interfacing demonstrated and improving
  19. 19. © ABB | Slide 19

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