1. Marine Microgrid Fault Studies
Power Generation
Module
Energy Storage
Module
Jonathan LeSage – Applied Research Labs

2. Statistical Characterization of Load Demands for
Actuator/Energy Storage Considerations
Jonathan LeSage – Applied Research Labs, Austin, TX
William Shutt – Applied Research Labs, Austin, TX
Raul Longoria – Professor, UT Austin
Presented by:
Jonathan LeSage, Applied Research Labs
ESRDC Team Meeting Workshop 2012
June 4-6, 2012 – Austin, TX

3. Energy Storage Design given Uncertain Loads
• Naval environment inherently stochastic
• Hydrodynamic loading
• A priori unknown mission loads
• Goal: statistical characterization of naval loading for
energy storage design

4. Characterization of Naval Load Demands
• Two example energy storage design applications
• Small scale reconnaissance ROV
• Submarine control surface emergency storage
Experimental ROV Loads MC Surfacing Loads

5. Statistical Energy/Power Density Analysis
• Ragone chart analysis
• Hybrid storage required for emergency surfacing
• Regulation - battery
• Actuation - high power density (e.g. flywheel)

6. Isolated Vital Load Prognostics
• Notional isolated bus structure
• Connectivity loss with prime generation module/distribution bus
• Local energy storage (e.g. composite flywheel, battery bank)
• Predict remaining run time given operation knowledge
Power Generation
Module
Energy Storage
Module

7. Scenario Runtime Prognostics
• Load differentiation
• Vital load – control surface
• Non-vital – hotel loads
• Self-supervised
characterization of loads
• Gaussian mixture models
• Jump-Markov models
• Bayesian network prediction
• Particle filtering prediction
• Reliability theory
Particle filter voltage prediction
Simulated load
95% confidence interval
Remaining run time PDF
Actual runtime
Run time CDF
95% shutdown
5% shutdown