Overview of MSU ESRDC Activities related to Computational Tools for Early State Design Dr. Noel Schulz Associate Professor and TVA Endowed Professorship Department of Electrical & Computer Engineering May 20, 2008

2 MSU – ESRDC Research Leadership Team Dr. Stan Grzybowski, Mississippi Power Endowed Professor, ECE Dr. Herb Ginn, Assistant Professor, ECE Dr. Anurag Srivastava, Research Assistant Professor, ECE Dr. Noel Schulz, Associate Professor & TVA Endowed Professor, ECE Dr. Stephanie Doane, Professor, Social Sciences Dr. Tomasz Haupt, Research Professor, Center for Advanced Vehicular Systems

3 MSU ESRDC Power Systems Team Reconfiguration & Stability of Power System Reconfiguration of Power System Reconfiguration of Control Systems including Protection Using Multi- Agent Systems Distributed Generation Considerations Intentional Islanding Using Optimization Adaptive Protection Groups Adaptive Protection DC Protection Sensors and Placement Fast Reconfiguration Stability Indices Navy Related Efforts in Visualization and Human/Machine/System Interface

Reconfiguration including AC/DC Systems Previous Work Three phase unbalanced power flow for ship systems including distributed generation Distributed Generation Placement Optimization of SPS reconfiguration including Genetic Algorithms and Particle Swarm Optimization Agent Based Reconfiguration Future Work Reconfiguration related to NGIPS systems including DC systems Integration of protection into reconfiguration activities 4

Stability Indices including AC/DC Systems Previous Work Three phase Continuation Power Flow Stability indices for AC/DC systems starting with static indices Future Work Stability indices for SPS including static and dynamic indices. 5

Protection including AC/DC Systems Previous Work Adaptive Protection Techniques for AC systems Integrating Neural Networks in Protection DC Protection including Power Electronic Models Future Work DC Protection Activities Integration of protection features 6 12-pulse AC/DC SPS system

Simulation Environment for Onboard Fire and Smoke Propagation Developed for NRL - Validated by NRL - Accredited by the U.S. Navy Main Features: * Virtual tours of the ship (3D geometry reconstructed from CAD files) * Interactive control of ship subsystems (e.g., ventilation, fire suppression) * Real-time simulation of fires * Visualizations and quantitative analysis * Comparison of different what-if scenarios Oxygen levelsTemperatureCompare Mode See our posters and live demos See our posters and live demos

Plans: Simulation Environment for Onboard Power Flow The current system simulates automatic activation of fire suppression systems and reconfiguration of the ventilation systems triggered by changes in temperature and smoke density The fire model will be replaced by a suite of computational models of power flow The new system will be used to simulate, analyze, visualize, and compare different models and strategies for reconfiguration of power flow with distributed generators for restoration of unbalanced distribution systems.

Human Systems Interfaces for Optimal Adaptive Power Distribution Approach: Designing Interfaces for Optimal Human-Intelligent Agent Collaboration requires consideration of 1) Capabilities and limitations of technology and humans, 2) Task constraints, operational system performance constraints, and 3) How interface design features interact to impact performance. Methods: Multidisciplinary methods include 1) Cognitive engineering studies assess operator and task constraints 2) Interface prototype development allows for early usability tests 3) Usability studies quantitatively assess performance using interface Goals:Year 1: Proof of concept interface prototypes Future: Cognitive engineering studies, usability studies Overall: Address human systems early in the design process

Task environment challenging Humans must monitor power distribution, diagnose problems, and address them through collaborative management with intelligent systems Requires visualization of task environment and development of interface tools that support human situational understanding, action planning, and manual changes to power distribution Human Systems Interfaces for Optimal Adaptive Power Distribution Diagnose Menu Agent Recommendations 1) Link Additional MPECs Agent Recommendation Menu 2) Fix Linked MPEC Efficiency

11 MSU ESRDC Power Systems Team Modeling and Real-Time Simulation CIM Modeling VTB Modeling and Real-Time VTB National Instruments Real- Time Platform RTDS Distributed Simulation

12 Modeling and Simulation including HIL Analog signal from RTDS to relay Digital control signal from relay to RTDS HIL Simulation in RTDS LabFunctional Blocks in Hardware in the Loop simulation SEL 351 & 487 (controller) National Instrument dSPACE

Distributed Simulation through Related MURI with Drexel 13 Proposed Scheme of Distributed Simulation Load or Source Distributed simulation implementation with RTDS depends on the delay, data transfer and data loss TCP/ IP Real- Time oror oror

Distributed Simulation through Related MURI with Drexel – Grid Computing 14 Middleware Help to build service by providing tools and methodologies Supplying functionalities and mechanisms Service Layer Resource Layer Security Information Discovery Resource management Communication Portability

15 See our poster for details Many of our activities overlap with other areas of the ESRDC work