Description

The planning, real-time monitoring and security of future power grids requires modeling and analysis capabilities beyond those available presently. Existing models are becoming obsolete as new technologies such as renewables and power electronic based devices become more prevalent, and traditional power flow simulation algorithms lack the robustness and scalability that is needed to represent combined transmission and distribution systems over all dynamics and contingencies. Our work is based on a unique equivalent split circuit formulation that that enables adaptation and application of techniques that were developed for circuit simulation to robustly analyze power grids. Our software tool, SUGAR, provides a foundation for: i) incorporating transmission and distribution models that capture true physics behavior; ii) unifying steady state, dynamics and transient analyses; iii) assessing feasibility and solution of optimal power flow conditions.

Lab Members

  • Aayushya Agarwal
    Graduate Student
    Power System Models and Simulation
  • Elizabeth Foster
    Graduate Student
    Power Systems
  • Marko Jereminov
    Research Scientist
    Power Flow Optimization
  • Shimiao (Cindy) Li
    Graduate Student
    State Estimation and Optimization
  • Tim McNamara
    Graduate Student
    Power Systems
  • Naeem Turner-Bandele
    Graduate Student
    Modeling and Optimization of Power Systems

Recent Publications

  1. S. Li, A. Pandey, S. Kar, L. Pileggi, “A Circuit-Theoretic Approach to State Estimation,” IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), October 2020.

  2. S. Li, A. Pandey, and L. Pileggi, “A LASSO-Inspired Approach for Localizing Power System Infeasibility,” IEEE PES General Meeting, Montreal, Canada, August 2020.

  3. A. Agrawal, A. Pandey, and L. Pileggi, Robust Event-Driven Dynamic Simulation using Power Flow, IEEE Power Systems Computation Conference (PSSC), June 2020.

  4. Jovicic, M. Jereminov, L. Pileggi, Gabriela Hug, Enhanced Modelling Framework for Equivalent Circuit-Based Power System State Estimation, IEEE Transactions on Power Systems, February 2020 (10.1109/TPWRS.2020.2974459).

  5. Jereminov, D.M. Bromberg, A. Pandey, M.R. Wagner, and L. Pileggi, “Evaluating Feasibility within Power Flow,” IEEE Transactions on Smart Grid, Vol. 11, No. 4, July 2020. DOI: 10.1109/TSG.2020.2966930.

  6. A. Pandey and L. Pileggi, “Steady-State Simulation for Combined Transmission and Distribution Systems,” in IEEE Transactions on Smart Grid, Vol 11, Issue 2, March 2020. (DOI: 10.1109/TSG.2019.2932403).

  7. A. Pandey and L. Pileggi, “Steady-State Simulation for Combined Transmission and Distribution Systems,” in IEEE Transactions on Smart Grid, August 2019. (DOI: 10.1109/TSG.2019.2932403)

  8. A. Jovicic, M. Jereminov, L. Pileggi, G. Hug, “A Linear Formulation for Power System State Estimation including RTU and PMU Measurements,” IEEE PES Innovative Smart Grid Technologies Europe Conference, 2019.

  9. A. Pandey, A. Agarwal, M. Jereminov, M.R. Wagner, D.M. Bromberg, L. Pileggi, “Robust Sequential Steady-State Analysis of Cascading Outages,” IEEE PES Innovative Smart Grid Technologies Europe Conference, 2019.

  10. A. Agarwal, A. Pandey, M. Jereminov, L. Pileggi, “Implicitly Modeling Frequency Control with Power Flow,” IEEE PES Innovative Smart Grid Technologies Europe Conference, 2019.