MINLP in Transmission Expansion Planning

Abstract

Transmission expansion planning requires forecasts of demand for electric power and a model of the underlying physics, i.e., power flows. We present three approaches to deriving exact solutions to the transmission expansion planning problem in the alternating-current model, for a given load.

The 19th Power Systems Computation Conference (PSCC 2016)

References in corpus (1)

• Optimal Power Flow as a Polynomial Optimization Problem

Cited by in corpus (4)

• A Low-Rank Coordinate-Descent Algorithm for Semidefinite Programming Relaxations of Optimal Power Flow
• A Fine-Grained Variant of the Hierarchy of Lasserre
• Time-Varying Multi-Objective Optimization: Tradeoff Regret Bounds
• Adjustably Robust Optimal Power Flows with Demand Uncertainty via Path-based Flows