A subarea-level transaction simulation framework supporting parallel paths and energy tagging

Abstract

A methodology is proposed to improve transaction modeling for electrical systems, and associated expense estimation, by applying a transmission constraint data reduction technique and a novel transmission model formulation. A linear programming model is described, which represents parallel flows and manages transaction tagging and accounting to improve model optimality and treatment of nonlinear phenomena. The modeling framework is a large-scale approach that provides screening results to initiate detailed small-scale investigations. The methodology also supplements the flow-based transmission modeling philosophy currently under consideration by the North American Electric Reliability Council (NERC). The proposed method extends the NERC utility-level model to a subarea-level network model to improve overall transmission modeling detail and performance. In addition, the model merges an optimizing technique with the parallel path and energy tagging features into one homogeneous model.