Mei-Shiang Chang and Kai-Ping Hsu
Power generation expansion planning, scenario analysis, greenhouse gas emissions control
Applying scenario analysis techniques, this work considers the uncertainty of fossil fuels, renewable power supplies, and regional electric loads within the planning horizon. A scenario-based multiperiod network design model for generation expansion planning is formulated as a mixed integer programming model to determine which and when new generation plants and new transmission lines should be constructed as well as the corresponding capacities. An optimal capacity allocation among different types of power generation is determined in order to meet electricity demands, greenhouse gas emissions limitations, and other operational constraints. This model is solved using CPLEX and illustrated with a simplified numerical example of the Taiwan power system. The results indicate that renewable energy sources are utilized as much as possible.
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