Large scale simulation ship power system hebner-herbst-gatozzi - july 2010


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Large scale simulation ship power system hebner-herbst-gatozzi - july 2010

  1. 1. Large Scale Simulation of a Ship Power System with Energy Storage and Multiple Directed Energy Loads<br />R. E. Hebner, J. D. Herbst, A. L. Gattozzi<br />Center for Electromechanics<br />University of Texas, Austin<br />July 13, 2010<br />
  2. 2. Presentation Overview<br />Ship Design Challenges & Power System Studies<br />CEM Ship Power System Model<br />Modeling Issues & Simulation Alternatives<br />Path Forward<br />
  3. 3. Challenges to Naval Power System Designers<br />Wide variety of loads on board <br />Continuous duty to pulsed<br />Loads with different requirements (low freq. ac, high freq. ac, dc)<br />Generated power capacity minimally larger than averagetotal load and smaller than peak load<br />Reliance on energy storage to supply intermittent loads<br />Increased use of power electronics<br />Need to maintain power quality and stability margins<br />Need flexible architecture suitable for fault management and reconfiguration<br />
  4. 4. Ship Power System Studies<br />Modeling and Simulation play a crucial role<br />Experimental data not easy to generate<br />Difficult to reproduce the complexity of system interactions in subscale physical models<br />Scarcity of accumulated experience with non-traditional energy resources and loads<br />Models provide a common base to evaluate alternatives and study component interactions<br />Key concerns:<br />Scale of the model<br />Modeling technique<br />Software and Hardware Platforms<br />Need a flexible tool for the ship designer, not application specific codes<br />
  5. 5. CEM’s Notional Ship Power System<br />Two turbo-generators with cross-connect option<br />Two flywheel energy storage systems<br />System designed around common 6 kVdc bus<br />Subsystems modeled :<br />Propulsion<br />Hotel Loads<br />Free Electron Laser (FEL)<br />AN/SQQ-90 Sonar System<br />Electromagnetic Rail Gun<br />Active Denial System<br />Advanced Radar<br />Laser Weapon System<br />Electromagnetic Aircraft Launch System<br />
  6. 6. Conceptual Diagram of CEM’s Ship Model<br />
  7. 7. Interactive Model<br />Operator can change in real time,<br />as the simulation is running,<br />the status of all<br />analog gains,<br />pushbuttons,<br />switches.<br />
  8. 8. FEL Operational Modes<br />
  9. 9. FEL ComponentOverview<br />Linac<br />10 kW filaments<br />16 MW RF<br />Collaboration with NAVSEA, NPS, Stanford, AES, JLab<br />
  10. 10. ACTIVE DENIAL<br />EMGUN<br />Voltage<br />Current<br />Current<br />Power:<br />Active – yellow<br />Reactive-pink<br />Heat<br />Control<br />Signals<br />Voltage<br />
  11. 11. Modeling Issues<br />Modeling some very unusual loads, many still experimental or in the R&D stage<br />Complex model results in long simulation times<br />Typical values are σ≈ 100,000 (real time is σ = 1)<br />6 seconds simulated time = 1 week running time on a 64-bit, 3.16 GHz, 3.93 GB, dual core desktop.<br />
  12. 12. Simulation Alternatives & Issues<br />Segmentation of the simulation model <br />Run one section at a time<br />Creates interface issues similar to parallel processing<br />Makes interpretation of results more difficult<br />Compression of operating scenarios<br />Not reflective of realistic operating scenarios<br />Affects component interactions<br />Prevents real time operator engagement<br />Eliminated GUI due to impact on simulation times<br />Makes interpretation of results more difficult<br />
  13. 13. Multi-Rate / Multi-Core Options<br />Expanded use of multi-rate techniques <br />Models run now on dual rates<br />Expansion to further levels is possible<br />Multi-core calculations:<br />MATLAB/Simulink version for parallel computations (Parallel Computing Toolbox) run on quad core computer resulting in speed gains of ~2-3:1<br />Third-party supported parallel MATLAB not being pursued now but remains an option<br />MATLAB/Simulink run on computer cluster (Distributed Computing Server) in cooperation with the Texas Advanced Computing Center (TACC)<br />Work is ongoing<br />Goal is 10:1 speed gain<br />Develop custom code to fully exploit parallel processing<br />Kept as a last option due to cost and specificity of resulting code<br />
  14. 14. Heterogeneous Computation<br />FPGA assisted processing:<br />FPGAs outperform CPUs by >1 order of magnitude in speed<br />Potential solution should: 1. Retain broad utility of programs developed <br />2. High degree of generality<br />Pursue COTS suppliers e.g.<br />National Instruments (NI),<br />Xilinx, etc.<br />
  15. 15. Heterogeneous Computation <br />NI offers a hybrid architecture that can be exploited by their LabView software<br />LabView is an intrinsically parallel language <br />Simulink is sequential<br />Our model can be transferred to LabView and executed on NI’s RT-HPC system<br />The University of Texas has a Long Term Working Relationship with National Instruments<br />
  16. 16. Path Forward<br />Heterogeneous computation appears to be a promising path to significant reductions in simulation times<br />Capabilities of FPGA’s and GPU’s are increasing<br />UT-CEM is seeking opportunities to apply these techniques to simulation of Naval power systems<br />Exploring collaborations with National Instruments and Xilinx <br />Questions?<br />