Electrical power planning and scheduling in Taiwan based on the simulation results of multi-objective planning model

Abstract

Based on the solitary electrical power system typically used in Taiwan, this study employed the constraint method, which is a multiobjective planning approach, and a set of non-inferior solutions with the associated marginal rate of substitution, which aimed to minimize power generation costs and CO2 emissions. The objective was to simulate and verify the feasibility of historical power generation scheduling. Subsequently, this study simulated power generation scheduling for a future target year and observed the power generation behavior under various circumstances, to determine how power departments can satisfy power-supply demands while reducing CO2 emissions. This study also provided suggestions for decision-making units to plan the future supply of electric power and assess reductions in CO2 emissions. The study results show that extending the operating period of nuclear power units is the optimal solution for reducing CO2 emissions in 2025. If the fluctuation in fixed costs caused by replacing existing power generator sets with new sets is not considered, increasing the efficiency of electric power generating sets can effectively reduce power generation costs and CO2 emissions. The increase amount of natural gas used to generate power repressed the supply of renewable energy, causing the cost to increase without significantly reducing CO2 emissions. The marginal rate of substitution for the relationship between total power generation costs and CO2 emissions becomes moderately flat because as the number of electric power generating sets, which can be manually scheduled, in the power generation system decreases, the cost of reducing CO2 emissions increases.