| Popis: |
This paper introduces a novel and efficient upgraded model of turbulent flow in water-based optimization (TFWO), specifically ETFWO, to achieve optimal power flow (OPF) in the electrical networks that use both solar photovoltaic (PV) units and wind turbines (WTs). The OPF formulation considers the magnitude of the voltage at the WT and PV buses as the control variable. Conversely, the dependent variable is the anticipated active power generation at WT and PV. Probabilistic models and real-time data on wind speed and solar irradiance are used to predict the power output of WT and PV producers. The OPF and solution methods are validated using the IEEE 30-bus network. By comparing ETFWO to other recent optimization techniques applied to the same groups of constraints, control variables, and system data, we can gauge the algorithm’s robustness and efficiency in solving OPF. |
