Weather-Dependent AC Power Flow Algorithms

The weather-dependent power flow (WDPF) algorithm performs more accurate power flow analysis (PFA) due to the utilisation of the heat balance model of conductors. It is explicitly parameterised in terms of typically available measured weather parameters (ambient temperature, solar irradiance, wind speed, and wind angle) and performs more accurate (PFA) due to the utilisation of the heat balance model of conductors. It is presented in rectangular form in the extant literature. The WDPF algorithm accurately estimates the branch resistances, the system states (current and voltages), the power losses, the branch flows, and the branch loadings via PFA. In this manuscript, we propose and investigate a group of weather-dependent AC power flow algorithms. Namely, the partially decoupled WDPF, the fast decoupled WDPF, and the sequential WDPF algorithm. In addition, we also present the derivation of the WDPF algorithm in polar form. An analysis of the convergence characteristic and the computational complexity of the proposed algorithms is presented via extensive simulations.