L.A. Tuan (Sweden) and K. Bhattacharya (Canada)
Electricity markets, congestion management, gas turbine, congestion management, cost-benefit analysis. NOMENCLATURE This section presents different indices and symbols used throughout the mathematical model described in the paper. i,j Bus index h Hour index LSF Hourly load scaling factor N Total number of buses NG Total number of generating buses NL Total number of load buses NT Total number of lines PD Real power demand, p.u. MW PDm Real power demand on spot market, p.u. MW PDb Re
This paper develops of a framework for the evaluation of long-term investment by the independent system operator (ISO) on gas-turbine generators as a tool for congestion management based on the traditional cost-benefit analysis. This involves a planning exercise to optimally decide the locations and sizes of the generators at different buses in the network such that the total cost of investment on gas turbine and the total system congestion is minimized. A bus-wise cost-benefit analysis is carried by solving iteratively dc optimal power flow (dc-OPF) model. The CIGRE 32-Bus system is used for the case study. It is shown that the long-term decision of the investment on gas-turbine would be very much dependent on the opportunity cost of the gas-turbine with respect to the congestion problem.
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