Interval Load Flow for Uncertainty Consideration in Power Systems Analysis

Modern power systems must deal with a greater degree of uncertainty in flow calculation due to variations load and generation introduced by new technologies. This scenario poses challenges system operators which require tools for an accurate assessment the state. paper presents interval (ILF) approach dealing analysis. A probabilistic (PLF), based on Monte Carlo Simulation (MCS), was also implemented comparative purposes. The ILF PLF are used estimate network states. Both methods were Python® using IEEE 34-bus, 69-bus 192-bus Brazilian distribution system. results proposed aforementioned benchmark test proved be compatible that MCS, evidencing robustness applicability approach.