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
  • Marko Jereminov
    Research Scientist
    Power Flow Optimization
  • Amritanshu Pandey
    Research Scientist
    Simulation of Power Systems
  • Naeem Turner-Bandele
    Graduate Student
    Modeling and Optimization of Power Systems
  • Martin Wagner
    Graduate Student
    Stochastic Power Flow Simulation 

Recent Publications

  1. 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.

  2. 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.

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

  4. A. Pandey, A. Agarwal, M. Jereminov, B. Rawn, T. Nwachuku and L. Pileggi, “Improving Voltage Profile of the Nigerian Power Grid,” in Proc. IEEE PES/IAS PowerAfrica Conference, Abuja Nigeria, August 2019.

  5. M. Jereminov, A. Terzakis, M. Wagner, A. Pandey, L. Pileggi, “Robust and Efficient Power Flow Convergence with G-min Stepping Homotopy Method,” in Proc. IEEE Conference on Environment, Electrical Engineering and I&CPS Europe, Genoa, Italy, June 2019.

  6. M. R. Wagner, M. Jereminov, A. Pandey, and L. Pileggi, “A Probabilistic Approach to Power System State Estimation using a Linear Algorithm,” in 2019 IEEE Conference on Environment and Electrical Engineering and I&CPS Europe, 2019.

  7. M. Jereminov, A. Jovicic, M. Wagner, G. Hug, L. Pileggi, “Equivalent Circuit Programming for Estimating the State of a Power System,” in Proc. IEEE PowerTech Milan, June 2019.

  8. M. R. Wagner, M. Jereminov, A. Pandey, and L. Pileggi, “A Probabilistic Approach to Power System State Estimation using a Linear Algorithm,” in 2019 IEEE Conference on Environment and Electrical Engineering and I&CPS Europe, 2019.

  9. A. Pandey, M. Jereminov, M. R. Wagner, D. M. Bromberg, G. Hug, L. Pileggi, Robust Power Flow and Three Phase Power Flow Analyses, IEEE Transactions on Power Systems, Vol. 34, Issue:1, pp. 616-626, January 2019.

  10. M. Jereminov, B. Hooi, A. Pandey, H. Song, C. Faloutsos and L. Pileggi, “Impact of Load Models on Power Flow Optimization,” IEEE PES General Meeting, Atlanta, GA, August 2019.