1 / 36

Thoughts on System Level Design of DC Microgrids

S.D. Sudhoff, H. Suryanarayana* School of Electrical and Computer Engineering Purdue University *ABB PECI 2016. Thoughts on System Level Design of DC Microgrids. This work was supported by the Office of Naval Research (ONR) through Grant N00014-08-1-0080 and N00014-14-1-0160

dereke
Download Presentation

Thoughts on System Level Design of DC Microgrids

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. S.D. Sudhoff, H. Suryanarayana*School of Electrical and Computer EngineeringPurdue University*ABBPECI 2016 Thoughts on System Level Design of DC Microgrids • This work was supported by the Office of Naval Research (ONR) through Grant N00014-08-1-0080 and N00014-14-1-0160 • Harish Suryanarayana was partially funded by a fellowship provided by ABB Inc.

  2. DC Microgrids Source: ESRDC - USC

  3. Steady-State Power Flow • Multiple Generators (2 main, 2 aux) • Energy Storage (?) • Propulsion (2) • Radar (1) • Weapon Systems (?)

  4. Transient Constraints • Transient specifications are based on MIL-STD-704F Start-up constraint Transient event constraint

  5. Distortion Constraints • The rms voltage ripple at each bus is subject to a limit • The rms current ripple going into each component, when supplied by / supplying an ideal source / ideal load is subject to a limit

  6. Stability

  7. Generalized Immittance

  8. Generalized Immittance

  9. The Design Spiral

  10. Optimization Based Design

  11. Consider a Trivial System Minimize metrics (mass, loss, …) subject to all constraints (transient, distortion, stability, …) being met

  12. Reducing Dimensionality • Vendor • Power Electronics Building Block (PEBB) • Fixed switching frequency • Fixed gate drive, snubber • Shock, vibration, thermal • Control platform • System Integrator • Programmable controls • Exterior passives

  13. Generation System

  14. Converter Module

  15. Degrees of Freedom • Machine: 1 at 20 DOF • Inductors: 5 at 10 DOF • Capacitors: 4 at 4 DOF • Transformers: 1 at 15 DOF • Control gains: 10 DOF • Total: 109 DOF

  16. Further Reducing Dimensionality • Target: Power Magnet Components • Approaches • Catalogs • Densities • Metamodels

  17. Metamodeling • Consider an simple inductor …

  18. Scaling • To scale • Dimensions, areas, volumes, mass: • Current, current density: • Power, energy, time: • Time, frequency: • Not scaled • Magnetic flux density • Voltage

  19. Inductor Metamodel

  20. Of Interest …

  21. Scaled Machine Design • To scale • Dimensions, areas, volumes, mass: • Force, torque: • Current, current density: • Power, energy, time: • Frequency, speed • Not scaled • Magnetic Flux density • Voltage • Base

  22. Challenge: Core Loss • MSE Model • Modification • Observation

  23. Challenge: Poles • Stator backiron volume decreases • Stator end conductor volume decreases • Rotor backiron volume decreases • Increase in loss with frequency compensated for by decrease in volume

  24. Challenge: Poles • The limiting factor - leakage

  25. Metamodel Formulation

  26. Degrees of Freedom • Machine: 1 at 1 DOF • Inductors: 5 at 2 DOF • Capacitors: 4 at 4 DOF • Transformers: 1 at 1 DOF • Control gains: 10 DOF • Total: 18 DOF - Piece of Cake Rubarb Pie!

  27. Back to Our Test System… Minimize metrics (mass, loss, …) subject to all constraints (transient, distortion, stability, …) being met

  28. Specifications - Transient

  29. Specifications - Distortion

  30. Specifications - Stability

  31. Design Space Control Parameters Passive Components

  32. Fitness Function • The fitness function is constructed as follows:

  33. Results of Optimization • The optimization routines were evaluated using an initial population of 2000 individuals for 80 generations.

  34. Sample Design

  35. Transient Design Validation

  36. Stability Design Validation

More Related