10th International Conference on Computational Management

HEC Montréal, 1 — 3 May 2013

10th International Conference on Computational Management

HEC Montréal, 1 — 3 May 2013

Schedule Authors My Schedule

WB4 Energy Market Models I

May 1, 2013 02:00 PM – 03:30 PM

Location: Serge-Saucier

Chaired by David Fuller

3 Presentations

  • 02:00 PM - 02:30 PM

    A Decomposition Method for Solving Equilibrium Programs with Equilibrium Constraints

    • Sauleh Siddiqui, presenter, Johns Hopkins University

    Equilibrium Programs with Equilibrium Constraints (EPECs) are a type of two-level optimization problem that are computationally expensive to solve. In this talk, we provide a solution technique based on decomposition to tackle this class of problems. Theoretical support of our method will be provided as well as an application to energy markets.

  • 02:30 PM - 03:00 PM

    Recent Results in Global Gas Market Modeling

    • Steven A. Gabriel, presenter, Department of Civil and Environmental Engineering, University of Maryland
    • Seksun Moryadee, University of Maryland
    • Hakob Avetisyan, University of Maryland

    In the talk we present recent findings concerning global gas markets using the World Gas Model, a large-scale complementarity model of the global gas supply chain. The results consider a variety of scenarios involving U.S. exports of liquefied natural gas (LNG), Chinese shale gas, and carbon mitigation programs.

  • 03:00 PM - 03:30 PM

    Optimal Transmission Switching: Evidence of Inaccuracy of Linear Models

    • David Fuller, presenter, University of Waterloo
    • Milad Soroush, University of Waterloo

    The optimal transmission switching (OTS) problem seeks to reduce generation cost on a congested transmission system by taking some transmission lines out of service. Earlier work on OTS relies on the widely used linear approximation of the nonlinear expressions for power flow on transmission lines. This talk presents evidence that linear OTS calculations can make very poor choices of lines to remove from service, especially when the system is highly congested. OTS based on the exact, nonlinear expressions for power flow does a much better job, but the computations are very slow. Future work needs to consider approximations of power flow that are more accurate than the linear approximation, yet fast enough for practical implementation of OTS.

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