A scenario-based mixed integer linear programming model for composite power system expansion planning with greenhouse gas emission controls

In this paper, the influence of uncertain factors in the power supply system is considered by applying scenario-based programming techniques. A multi-period network design model for composite power system expansion planning is formulated as a mixed integer programming model. This model aims to identity the allocations of fossil fuel, cleaner energy sources, and nuclear power as well as the corresponding to construct transmission network to account for all scenarios of the uncertain factors of the power system. Electricity demands, a limitation of greenhouse gas emissions, and other operational constraints are deliberated in this model. This model is solved using CPLEX, and the Taiwan electric power system is used to illustrate the proposed model. Feasibility analysis of nuclear power energy policies and a low carbon power policy is also been conducted. Corporately implementing the low carbon energy policy increases the feasibility that Taiwan will gradually become nuclear free and more environmentally friendly. The cost per ton of carbon dioxide is estimated to be about NT$ 470.