Deterministic Approach for Generation and Transmission Expansion Planning

Abstract

In this paper, the Generation and Transmission Expansion Planning (G&TEP) problem, considering two case studies, is analyzed. In the first case, the GEP and TEP problems are considered separately, while in the second GEP and TEP problems are solved together, thus G&TEP problem appears. The objective function of the mixed-integer linear programming (MILP) problem is minimizing the expected generation costs, load-shedding costs and investment costs. The planner can modify the presented mathematical model in order to satisfy any other system requirements considering G&TEP problem. The approach presented in this paper is a deterministic static one. The investment decision is considered to be made at the beginning of the planning horizon.