Project 1
Electric power grid is one of the most critical infrastructures for the essential functioning of our society. The access of realistic power system data is highly restricted due to security concerns. On the other hand, grid data of the right type and fidelity is crucial for the advance of any power system related researches to test new concepts and methods. This project is to address the grid data challenge by investigating statistical properties of realistic grids and developing a generative model to build appropriate synthetic grid test cases. The goal is to produce power grid test cases with salable network size featuring the same kind of small-world topology and electrical characteristics found in realistic grids.
Funding Sponsorship:
  • Department of Energy -Cosortium for Electrical Reliabilty Technology solution (DoE CERTS)
  • Advance Research Projects Agency-Energy (ARPA-E).

    Related Outcomes:

    [11] S. H. Elyas, Z. Wang, R. J. Thomas, " On the Statistical Settings of Generation Capacities and Dispatch in a Synthetic Grid Modeling", 10th Bulk Power Systems Dynamics and Control Symposium (IREP 2017), Espinho, Portugal, Aug 27-Sep 1 2017. Link to Publication
    [10] M. H. Athari, Z. Wang, "Statistically Characterizing the Electrical Parameters of the Grid Transformers and Transmission Lines", 10th Bulk Power Systems Dynamics and Control Symposium (IREP 2017), Espinho, Portugal, Aug 27-Sep 1 2017. Link to Publication
    [9] A. Birchfield, E. Schweitzer, M. H. Athari, et al., and Z. Wang, "Validation Metrics to Assess the Realism of Synthetic Power Grids", IEEE trans. on Power Systems, submitted Mar 2017, passed the first round of review. (IF: 3.342, top journal in the area of power system research). Link to Publication
    [8] Z. Wang, S. H. Elyas, " On the Scaling Property of Power Grids" , HICSS 50, Big Island, HI, Jan 4-7, 2017. Link to Publication
    [7] S. H. Elyas, Z. Wang, "A Multi-Objective Optimization Algorithm for Bus Type Assignment in Random Topology Power Grids", HICSS 49, Kauai, HI, Jan 2016. Link to Publication
    [6] Z. Wang, S. H. Elyas, R. J. Thomas, "Generating Synthetic Power System Data with Accurate Electric Topology and Parameters", the 51st International Universities Power Engineering Conference (UPEC 2016), Coimbra, Portugal, Sep 6-9, 2016. Link to Publication
    [5] S. H. Elyas, Z. Wang, "Statistical Analysis of Transmission Line Capacities in Electric Power Grids" , IEEE PES 2016 Innovative Smart Grid Technologies (ISGT2016) Conference, Minneapolis, MN USA, Sep 6-9, 2016. Link to Publication
    [4] S. H. Elyas, Z. Wang, "Improved Synthetic Power Grid Modeling with Correlated Bus Type Assignments" , IEEE Trans on Power Systems. (IF: 3.342, top journal in the area of power system research). Link to Publication
    [3] Z. Wang, R. J. Thomas, "On Bus Type Assignments in Random Topology Power Grid Models " , HICSS 48, Kauai, HI, Jan 2015. (HICSS 48 Best Paper Award). Link to Publication
    [2] Z. Wang, S. H. Elyas, R. J. Thomas, "A Novel Measure to Characterize the Bus Type Assignments of Realistice Power Grids" , Power Tech 2015, Eindhoven, Netherlands, June 2015. Link to Publication
    [1] Z. Wang, A. Scaglione, R. J. Thomas, contributed book chapter, "Power Grid Network Analysis for Smart Grid Applications" , chapter 7 in Smart Grids: Clouds, Communications, Open Source, and Automation, edited by David Bakken, CRC Press, 2014. Link to Publication