As a matter of course, the unprecedented ascending penetration of distributed energy
resources (DERs), mainly harvesting renewable energies (REs), is concomitant with …

This paper presents a comparison between four modern heuristic algorithms for optimal loss
reduction of power distribution network equipped with renewable energy resources. These …

This paper compares three methods for solving probabilistic optimal power flow (P-OPF)
problem: Zhao's point estimate method (PEM), Quasi Monte Carlo simulation (QMCS) and …

This paper sets out to develop an efficient probabilistic optimal power flow (POPF) algorithm
to assess the influence of wind power on power grid. Given a set of wind data at multiple …

In this article, the Latin hypercube sampling (LHS) based probabilistic optimal power flow (P‐
OPF) technique is employed to assess the performance of power systems under large wind …

In this paper, the probabilistic optimal power flow (POPF) problem is modeled as a black box
uncertainty quantification problem. If distribution functions of POPF inputs are unknown, only …

This paper presents a methodology for building daily profiles of wind generation and load for
different seasons to assess their impacts on voltage violations. The measurement-based …

In this paper, a solution to the optimal power flow (OPF) problem in electrical power
networks is presented considering high voltage direct current (HVDC) link. Furthermore, the …

This paper is devoted to revealing some properties of the probabilistic optimal power flow
(POPF) problem. In conjunction with Hermite polynomial model, Nataf transformation is …

This paper discusses the challenge of probabilistic optimal power flow (POPF) for handling
of uncertainties in the emerging power system. The frameworks for probabilistic modeling for …