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 ...

This paper analyses two schemes of single-stage diode-switched active filters used in new switching power supplies designs to improve the power factor. From the point of view of the power flow, the distortion reduction is based on the improvement of the power conversion processes. Most of the ca/cc switching power supplies consists of two separated parts: a rectifier – in most cases a diode bri...

Most existing power  converters and industrial motor drive systems draw non-sinusoidal currents from the supply. Non-sinusoidal currents contained harm harmonics disturb the power supply which it causes serious concern for reliability. Other equipments that use the same power supply are adversely affected. This paper suggests the operation and performance of a new modified AC/DC converter that ...

this paper presents a new control method for a three-phase four-wire unified power quality conditioner (upqc) to deal with the problems of power quality under distortional and unbalanced load conditions. the proposed control approach is the combination of instantaneous power theory and synchronous reference frame (srf) theory which is optimized by using a self-tuning filter (stf) and without us...

The main focus of this paper is to presents comparative principal problems of bibliographies on the linearization of Load Flow equations, network outages and the interdependence among nodal power injections. These methods classified as simulation method, analytical method, or by a combination of both are used to obtain the mean and variance of Power Line Flow. Key-Words: Cumulative Distribution...

The open distribution system simulator (OpenDSS) is open-source software developed by the Electric Power Research Institute (EPRI) in United States for analyzing systems. OpenDSS primarily used systems fundamental power flow (FPF) and harmonic (HPF). Single-tune high-order filters are generally combined to achieve a better filtering performance practical analysis applications. However, requires...