Carbon-Aware Optimization of Bulk Power Systems with Grid-Enhancing Technologies (GETs) Conference

Alamin, MT, Paudyal, S. (2026). Carbon-Aware Optimization of Bulk Power Systems with Grid-Enhancing Technologies (GETs) . 10.1109/GreenTech68285.2026.11471554

cited authors

  • Alamin, MT; Paudyal, S

authors

abstract

  • Deep decarbonization of the power sector requires large-scale integration of sustainable energy resources together with efficient utilization of existing transmission infrastructure and flexible grid assets. This paper proposes a carbon-aware optimal grid planning framework that incorporates Dynamic Line Ratings (DLR) and Battery Energy Storage Systems (BESS) as grid-enhancing technologies (GETs). Using carbon emission flow (CEF) theory, the framework enables consumption-based carbon accounting by tracing emission responsibility through physical power flows. To ensure physical consistency and computational tractability, BESS is modeled as a load/carbon-free generator, and the resulting bilinear coupling between power and carbon variables is addressed using a successive linear programming (SLP) approach. Multi-period planning studies on the synthetic TX-123BT ERCOT system demonstrate that coordinated deployment of BESS and DLR can achieve emission reductions of up to 20%.

publication date

  • January 1, 2026