Although distribution grid customers are obliged to share their consumption data with system operators (DSOs), a possible leakage of this is often disregarded in operational routines DSOs. This paper introduces privacy-preserving optimal power flow (OPF) mechanism for grids that secures customer privacy from unauthorised access OPF solutions, e.g., current and voltage measurements. The based on...

In this letter, we present a novel Gaussian Process Learning-based Probabilistic Optimal Power Flow (GP-POPF) for solving POPF under renewable and load uncertainties of arbitrary distribution. The proposed method relies on non-parametric Bayesian inference-based uncertainty propagation approach, called (GP). We also suggest new type sensitivity Subspace-wise Sensitivity, using observations the ...

An improved cross-entropy (CE) method assisted with a chaotic operator (CGSCE) is presented for solving the optimal power flow (OPF) problem. The introduction of helps to enhance exploration capability popular approach while global best solution preserved. To handle constraints in flow, an efficient constraint handling technique no parameter adjustment also introduced. tested on both IEEE-30 bu...