Integrated robust generation and transmission network expansion planning considering time duration uncertainty
This study presents an integrated generation and transmission network expansion planning (GTEP) model to
identify the optimal size and site of generators and lines. Electricity load and production capacity uncertainties
are managed using robust optimization (RO), resulting in a robust GTEP problem. Another crucial uncertainty is
the load block’s time duration (LBTD), which has been thoroughly ignored in planning studies. Thus, this paper
constructs a robust GTEP model that captures the uncertainty of LBTD using RO. The formulation forms a trilevel
structure representing the investment and operational decisions in the first and third levels and the uncertainty
realizations in the second. To solve the trilevel framework, the primal Benders decomposition (PBD) is first
employed to divide the model into a master problem (MP) and a subproblem (SP). Due to including LBTD uncertainty,
the subproblem cannot be solved for each load block, leading to a large optimization problem. Hence,
the dual Benders decomposition (DBD) is applied to decompose the SP into an MP and several SPs. This way, the
SPs can be solved independently for each load block. The proposed robust GTEP model is validated using a
standard power system to show the method’s efficiency.
This study presents an integrated generation and transmission network expansion planning (GTEP) model to
identify the optimal size and site of generators and lines.…
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