Benjamin Loop: Simulation Environment for Power Management and Distribution Development
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The document outlines the development of a simulation environment for power management and distribution which was conducted during the SBIR Phase II from July 2013 to July 2016. It details technical objectives such as creating autonomous controls, demonstrating distributed architectures, and establishing a library of average value electrical component models for various power units. Additionally, it discusses tools for model generation, communication modeling, and applications to aircraft systems, emphasizing efficiency and stability analysis in electrical systems.
Benjamin Loop: Simulation Environment for Power Management and Distribution Development
- 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