Benjamin Loop: Simulation Environment for Power Management and Distribution Development
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EnergyTech2015.com SPACE POWER SYSTEMS Track 2 Session 4 Moderator: James Soeder This session explored power technologies being developed to enable more advanced deep space missions including; unique power systems, autonomous and intelligent control and real time simulation Ms Anne McNellis: Paper 1: NASA Intelligent Power Control, Dr Benjamin Loop: Paper 2: Real Time Simulation for NASA Intelligent Power Control Development Dr Brad Glenn: Paper 3: Helm Algorithm Development for NASA Intelligent Power Control
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SPACE POWER SYSTEMS
Track 2 Session 4 Moderator: James Soeder
This session explored power technologies being developed to enable more advanced deep space missions including; unique power systems, autonomous and intelligent control and real time simulation
Ms Anne McNellis: Paper 1: NASA Intelligent Power Control,
Dr Benjamin Loop: Paper 2: Real Time Simulation for NASA Intelligent Power Control Development
Dr Brad Glenn: Paper 3: Helm Algorithm Development for NASA Intelligent Power Control
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Dr Benjamin Loop: Paper 2: Real Time Simulation for NASA Intelligent Power Control Development,
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TERRESTRIAL POWER TECHNOLOGY II
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S 8 final-report-april-2003
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ResumeSubhransu Satpathy This resume is for Subhransu Satpathy, who is currently pursuing an M.S. in Electrical Engineering at the Indian Institute of Technology Madras. His research focuses on designing and controlling DC-DC power converters. He is currently working on developing a programmable high voltage DC-DC converter for capacitive load applications funded by ISRO. Satpathy has work experience in designing power supplies and has taught courses as a teaching assistant in electrical machines and digital control systems for power applications.
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John Ostrich: Space Weather Policy 
John Ostrich: Space Weather Policy EnergyTech2015 EnergyTech2015.com Track 4 Session 2 SHAPING POLICY ON CRITICAL INFRASTRUCTURE PROTECTION AND RECOVERY Moderator: Mike DeLamare Panelists will briefly present current policy efforts, or the effects of policy on providers. This will be followed by Q&A from the audience. Panelists: Andrea Boland: Discuss current and pending Legislation for the State of Maine as compared to other States: /Maine John Ostrich: Speaking on the Space Weather Policy and Action Plan Patrick Shaw: Addressing the business continuity and the emergency management consequences of long-term power outages Kevin Goodman: Policy effects on Power and Data Centers Chuck Manto: Policy as a catalyst for technical innovations
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resume_02_26_2016
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A Study of Load Flow Analysis Using Particle Swarm Optimization
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cost function.
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Bucket scheduling of solar powered sensor networks via cross-layer optimization
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Acrl
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David Long Keynote on Beyond MBSE Looking Towards the Next Evolution in Syste...
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Neil Garrigan, GE Aviation
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- 1. BENJAMIN LOOP Simulation Environment for Power Management and Distribution Development
- 2. SBIR Phase II/II-E • Period of performance: July 2013 – July 2016 • Technical objectives • Develop a simulation environment to support the development of autonomous controls • Demonstrate distributed control architectures
- 3. Component and System Models • Began working with ISS electrical system • Moved to EAM system with similar overall architecture • Modified component parameters and interconnections International Space Station Exploration Augmentation Module
- 4. Spacecraft Model Library • Average value electrical component models • Solar array • Sequential shunt unit • Battery charge discharge unit • Master bus switching unit • DC switching unit • Power distribution unit • Aggregate load • Constant power • Constant current • Resistive • Remote power controller • Remote bus interrupter
- 5. Model Fidelity • Fast electrical transients not necessary for development of energy management controls • Skipped switch level models from the beginning • Created average value models and validated against available hardware data • Eliminated fast transients through model reduction and parameter modification Switch level Average value Reduced order Power electronics systems levels of fidelity
- 6. Model Library Features • Component parameter specification • Constant or over-ridden by time-varying value • Control signal specification • Model certification GUI • Specify inputs and outputs • Automated html report • Sensor model • Communication model
- 7. Automated State Model Generator • ASMG is a circuit simulation tool developed by PCKA • Automatically determines switch states and calculates model topology • Enables expedited construction of complex systems
- 8. Native Simulink Implementation • Native Simulink implementation constructed to reach real-time simulation speeds • Switching circuit models derived by hand • Less flexible / user friendly • Consistent computation time per simulation time step
- 9. Identification of Fast Transients • Eigenvalue analysis tool • Matlab GUI that evaluates model eigenvalues • Calculates participation factors for each mode, links to the relevant block in the model Eigenvalues Participation factorsState names
- 10. Small Signal Stability Analysis Tool • Parse Simulink model to determine interconnection of components • No simulation execution required • Combine small signal models into full system model for evaluation Linear interpolation： Critical Power Command: 5.3296kW 5.3kW 5.4kW
- 11. Communication Modeling • Network communication model using ns-3 • Currently developing graphical interface of the Simulink/ns-3 environment • Determine topology from Simulink connections • Set up communication (and spam) through block mask n4 n2 | | | | s2---------s1---------s0 | | | | | | n1 n3 n0
- 12. Interface with Controller • Interface developed with Case Western Reserve University • GUI allows definition of • Planned scenario • Actual scenario • System parameters and initial conditions • Communication parameters • Data logging parameters • Automatically launches simulation and control process
- 13. Controller Communication • GUI launches processes and transmits relevant information to simulation and controller. Also logs data during simulation • UDP communication between simulation and controller during simulation Load Schedule PV Schedule Initial conditions Process#2 Scenario Generator GUI EAM_Simulink.mdl Controller MATLAB t_start PDU State Load allocation t SOC Sensor values
- 14. Extension to Aircraft System Modeling • Build on modeling experience with near-term military aircraft and apply to N+3 generation aircraft electrical systems and technologies • Provide modeling and simulation support for NASA aircraft electrical system testbeds • Analyze tradeoffs of system configurations • Benefits of energy storage • Stability analysis and control development • Provide models to estimate size/weight/efficiency of components as they increase in power from ~100kW to ~10MW • Inverters, generators/motors PCKA 220 kVA SiC inverter module that will form the scaling basis