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“INFRASTRUCTURE, DER, AND
STORAGE MODELLING FOR
MICROGRIDS”
Long Beach
November 14-15, 2022
Presented By:
Dr. Michael Stadler
XENDEE Corporation
mstadler@xendee.com
© XENDEE Corporation 2022 (2)
The Microgrid Implementation Process*
Design Makes up Two-Thirds of the Implementation Process
* Based on federal and Department of Defense microgrid projects
© XENDEE Corporation 2022
Microgrid Planning Steps
(3)
© XENDEE Corporation 2022
Holistic Platform for Planning and Operation
(4)
A single platform minimizes latency and maximizes continuity by removing
unnecessary steps and facilitating coordination.
© XENDEE Corporation 2022
OPERATE
DESIGN
DISCOVER
Xendee
Xendee is a software platform for designing optimized microgrids and operating them
efficiently in real-time. This allows users to create reliable, bankable microgrids that reduce
engineering costs, energy prices, and CO2 emissions while also improving energy security and
resilience to power outages.
(5)
© XENDEE Corporation 2022
Conceptual Design
Drag-and-Drop Platform
User Inputs and Boundary Conditions
Basic load and economic data (see next slide)
Modeled in
Results
• Optimal technologies and operation
• Annual costs
• Investment costs
• Net present value, internal rate of return, etc.
Advanced Design (Techno-Economic)
Expert Functions
Issues and Problems
• Analysis over several years (changes in PV or battery
performance, prices, etc.)
• Integration of network topologies and network
parameters (heat/electricity exchange between nodes,
etc.)
• Nichtlineare Effekte, Effizienz als Funktion v. Lastpunkt)
Modeled in
Results (same as previous, but in addition):
• Investment and maintenance timing
• Energy flows between nodes in the cell, etc.
Detailed Design (Purely Technical)
Network Analysis
Modeled in
Results
• Optimal cable and transformer specifications
• Short-circuit currents, equipment utilization, etc.
Issues and Problems
• Network utilization (cables, transformers, etc.) in
extreme situations (snapshot) and over the years (QSTS)
• Power flows in the millisecond range
• Islanding, stability, black start, etc.
User Input
• Network topology, elements, and their specifications
(6)
Today’s Focus:
Design Process
© XENDEE Corporation 2022
Optimal Technology Portfolio, Optimal Planned
Operation, and Location
General Conditions:
- Project Length
- Existing Technologies
- Interest Rate
- Power System Constraints
- Regulatory Boundaries
- Financing and Incentives
- Etc.
Load Data:
- Electrical, Thermal, Fuel
- At Least 1h Resolution
- At Least 1 Year
Weather Data:
- Solar Irradiation
- Temperature
- At Least 1 Year
Today’s Focus:
Model building
Constraints
Data
Input
Tariffs:
- Power and Energy
- Fuel Delivery
- Net Metering
Existing Technologies:
- Heating
- Cooling
- Power
Mathematical
Optimization
(MILP)
Objective Function
(Cost, CO2, Resiliency, etc.)
$/kW
$/kWh
$
Possible DER Technologies
and Infrastructure/Grid:
- Storage Technologies for
Electricity, Heat, or Cool
- Solar Photovoltaic or
Thermal Panels
- Heat Pump (air or
geothermal)
- Hydrogen (electrolyzer,
storage, fuel cell,
hydrogen fueling station)
- Combined Heat and
Power (biomass, gas, or
oil)
- DC Component Inverters
- Electric Vehicles
- Cables, transformers
(7)
© XENDEE Corporation 2022 (8)
Optimized Investment Capacities and
Dispatch Planning
© XENDEE Corporation 2022
Optimized Investment Capacities and
Dispatch Planning
(8)
© XENDEE Corporation 2022
• 30+ buildings with rooftop PV
space
• Connected through cables and
transformers
• Multi-day resilience
requirements
• Annual demand charge and
renewable surcharge
• PV, batteries, backup generation,
heat pumps
(9)
Real Life Case Study
Greenfield Microgrid Modelled
Objective: Minimize Costs and Maximize Profit
© XENDEE Corporation 2022 (10)
Real Life Case Study
Greenfield Microgrid Modelled
https://youtu.be/q4RE2I0vBUs
© XENDEE Corporation 2022 (11)
1. Consider underlying topology and network
2. Use optimization approach that also considers optimal
dispatch
3. Model impact of different financing schemes
(since they will impact the optimal solution)
4. Model changes over time in a multi-year setup
Important Considerations for Microgrid
Modelling
Thank You
Presented By:
Dr. Michael Stadler
XENDEE | Chief Technology Officer
mstadler@xendee.com
© XENDEE Corporation 2022 (10)
Appendix Real Life Case Study
Greenfield Microgrid Modelled
https://youtu.be/fw39LNyaxJo

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INFRASTRUCTURE, DER, AND STORAGE MODELLING FOR MICROGRIDS

  • 1. “INFRASTRUCTURE, DER, AND STORAGE MODELLING FOR MICROGRIDS” Long Beach November 14-15, 2022 Presented By: Dr. Michael Stadler XENDEE Corporation mstadler@xendee.com
  • 2. © XENDEE Corporation 2022 (2) The Microgrid Implementation Process* Design Makes up Two-Thirds of the Implementation Process * Based on federal and Department of Defense microgrid projects
  • 3. © XENDEE Corporation 2022 Microgrid Planning Steps (3)
  • 4. © XENDEE Corporation 2022 Holistic Platform for Planning and Operation (4) A single platform minimizes latency and maximizes continuity by removing unnecessary steps and facilitating coordination.
  • 5. © XENDEE Corporation 2022 OPERATE DESIGN DISCOVER Xendee Xendee is a software platform for designing optimized microgrids and operating them efficiently in real-time. This allows users to create reliable, bankable microgrids that reduce engineering costs, energy prices, and CO2 emissions while also improving energy security and resilience to power outages. (5)
  • 6. © XENDEE Corporation 2022 Conceptual Design Drag-and-Drop Platform User Inputs and Boundary Conditions Basic load and economic data (see next slide) Modeled in Results • Optimal technologies and operation • Annual costs • Investment costs • Net present value, internal rate of return, etc. Advanced Design (Techno-Economic) Expert Functions Issues and Problems • Analysis over several years (changes in PV or battery performance, prices, etc.) • Integration of network topologies and network parameters (heat/electricity exchange between nodes, etc.) • Nichtlineare Effekte, Effizienz als Funktion v. Lastpunkt) Modeled in Results (same as previous, but in addition): • Investment and maintenance timing • Energy flows between nodes in the cell, etc. Detailed Design (Purely Technical) Network Analysis Modeled in Results • Optimal cable and transformer specifications • Short-circuit currents, equipment utilization, etc. Issues and Problems • Network utilization (cables, transformers, etc.) in extreme situations (snapshot) and over the years (QSTS) • Power flows in the millisecond range • Islanding, stability, black start, etc. User Input • Network topology, elements, and their specifications (6) Today’s Focus: Design Process
  • 7. © XENDEE Corporation 2022 Optimal Technology Portfolio, Optimal Planned Operation, and Location General Conditions: - Project Length - Existing Technologies - Interest Rate - Power System Constraints - Regulatory Boundaries - Financing and Incentives - Etc. Load Data: - Electrical, Thermal, Fuel - At Least 1h Resolution - At Least 1 Year Weather Data: - Solar Irradiation - Temperature - At Least 1 Year Today’s Focus: Model building Constraints Data Input Tariffs: - Power and Energy - Fuel Delivery - Net Metering Existing Technologies: - Heating - Cooling - Power Mathematical Optimization (MILP) Objective Function (Cost, CO2, Resiliency, etc.) $/kW $/kWh $ Possible DER Technologies and Infrastructure/Grid: - Storage Technologies for Electricity, Heat, or Cool - Solar Photovoltaic or Thermal Panels - Heat Pump (air or geothermal) - Hydrogen (electrolyzer, storage, fuel cell, hydrogen fueling station) - Combined Heat and Power (biomass, gas, or oil) - DC Component Inverters - Electric Vehicles - Cables, transformers (7)
  • 8. © XENDEE Corporation 2022 (8) Optimized Investment Capacities and Dispatch Planning
  • 9. © XENDEE Corporation 2022 Optimized Investment Capacities and Dispatch Planning (8)
  • 10. © XENDEE Corporation 2022 • 30+ buildings with rooftop PV space • Connected through cables and transformers • Multi-day resilience requirements • Annual demand charge and renewable surcharge • PV, batteries, backup generation, heat pumps (9) Real Life Case Study Greenfield Microgrid Modelled Objective: Minimize Costs and Maximize Profit
  • 11. © XENDEE Corporation 2022 (10) Real Life Case Study Greenfield Microgrid Modelled https://youtu.be/q4RE2I0vBUs
  • 12. © XENDEE Corporation 2022 (11) 1. Consider underlying topology and network 2. Use optimization approach that also considers optimal dispatch 3. Model impact of different financing schemes (since they will impact the optimal solution) 4. Model changes over time in a multi-year setup Important Considerations for Microgrid Modelling
  • 13. Thank You Presented By: Dr. Michael Stadler XENDEE | Chief Technology Officer mstadler@xendee.com
  • 14. © XENDEE Corporation 2022 (10) Appendix Real Life Case Study Greenfield Microgrid Modelled https://youtu.be/fw39LNyaxJo