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Center for Nonlinear Studies |
The goal of the transmission network expansion planning (TNEP) is to determine the optimal plan for power grid expansion. The plan must specify the number of new power lines to be installed in each transmission corridors and the number of new control components added at each bus. The problem of long-term transmission system planning based on the so-called DC model is considered. Due to constraints imposed by physical laws of the power flows, the resulting optimization problem is a nonlinear mixed-integer problem (NLMIP) with high complexity, especially for large-scale and real-world problems. Many of the solution algorithms for TNEP problem are constructive heuristics that are developed based on specific (approximate) models of power flows. The goal is to develop adaptive optimization algorithms that can be applied for solving TNEP for a wide variety of power models. Inspired by recent metaheuristics, such as the variable neighborhood search (VNS) and the iterated local search (ILS), several neighborhood structures on the TNEP problem solution space are investigated
Host: Russell Bent, Energy and Infrastructure Analysis D-4/Decision Applications