Methodology
The framework integrates climate projections, thermal engineering, and power system optimisation into a unified pipeline.
Modelling: Projected heatwave scenarios are generated via bias-corrected delta mapping from historical extremes onto CMIP6 projections. Weather-driven demand (BAIT model), renewable capacity factors (Atlite), and generator derating curves translate these scenarios into grid-level inputs. Conductor temperatures are resolved per line segment using the IEEE 738-2012 heat-balance equation.
Algorithm: The Temperature-Dependent ACOPF (TD-ACOPF) iteratively couples two sub-problems: (1) a full AC optimal power flow (Pyomo/IPOPT) that determines branch currents and dispatch, and (2) a heat-balance update that recomputes conductor temperatures and line resistance. The loop repeats until the resistance–temperature feedback converges, capturing the nonlinear coupling between electrical loading and thermal state that conventional OPF ignores.