Utilization of active power filters (APFs) is the most efficient method to reduce harmonic pollution in distribution networks. Previous approaches utilized APFs integrated control schemes based on broad data-gathering systems. Since a system not available practical networks, previously proposed may readily be implemented. This paper presents utilization stand-alone controlled (SACAPFs) radial U...

Introduction The power quality of distribution systems has a drastic effect on power regulation and consumption. Johan Lundquist of the Chalmers University of Technology in Goteberg, Sweden put it best, stating “The phrase ‘power quality’ has been widely used during the last decade and includes all aspects of events in the system that deviates from normal operation.” This has been especially tr...

the graphical technique for nonlinear circuits was described that enable us to optimize circuits to obtain maximum output power, maximum efficiency or minimum intermodulation. according to this method a high power amplifier in the ka band was designed. using a nonlinear model of the transistor, optimum slope for load-line was determined so that maximum power at the output was obtainable, then ...

This work describesasteady state analysis of a building with a 6 kW photovoltaic system interconnected to the grid. Thebuilding is“Centro de Investigación de los Programas de Ingeniería – CIPI” at Universidad de Bogotá Jorge Tadeo Lozano, in Bogotá, Colombia. The photovoltaic system is installed on the building’s roof and it has been operating properly since the month of January 2015. Steady st...

In this study, a review of cascaded H-bridge multilevel inverter topology and control schemes was conducted. Multilevel inverter topology (MLI) H-bridge cascade is implemented to reduce harmonic for high power applications. Applications of multilevel converters are able to reduce the number of harmonics contained in the system of low-voltage electrical distribution. Each topology has their own ...

We present a data-driven approach for probabilistic wind power forecasting based on conditional normalizing flow (CNF). In contrast with the existing, this is distribution-free (as non-parametric and quantile-based approaches) can directly yield continuous probability densities, hence avoiding quantile crossing. It relies base distribution set of bijective mappings. Both shape parameters mappin...

In this paper, a probabilistic method is proposed to analyze the steady-state operating conditions of an active electrical distribution system with Wind (WD) and Photovoltaic (PV) generation plants. This method takes into account the uncertainties of power load demands and power production from renewable generation systems and combines Monte Carlo simulation techniques and multi-linearized powe...