Probabilistic analysis tool is important to quantify the impacts of the uncertainties on power
system operations. However, the repetitive calculations of power flow are time-consuming …

Probabilistic power flow (PPF) is pivotal to quantifying the state uncertainties of distribution
power systems. However, it is very challenging due to underlying complex correlations …

Power flow (PF) analysis serves as the basis for power system operation that is extended to
the distribution levels integrated with more distributed generations (DG). Solving optimal …

The increase in renewable energy sources and new technologies such as electric vehicles
and storage can generate uncertainties in distribution grid operations, increasing the …

A precise forecast of wind speed is a fundamental requirement of wind power integration.
The nonlinear and intermittent nature of the wind makes wind speed forecasting (WSF) …

Under the high-dimensional and nonlinear stochastic power system environment, artificial
intelligence (AI) is becoming a promising alternative to the urgent demand for probabilistic …

This paper presents a comprehensive review of the existing methodologies of data-driven
power flow analysis. It begins by discussing the fundamental concepts of power flow …

The probabilistic power flow (PPF) computation involves quantifying and propagating
uncertainty over hundreds of variables. Zhao's point estimate method (PEM) has been …

This paper presents a novel probabilistic power flow calculation method for power systems
with integrated wind farms, based on importance sampling and Hammersley sequence with …

Numerical methods in power flow (PF) studies for medium-voltage direct current (MVDC)
distribution systems require repetitive computations, particularly in scenarios with time …