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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control)
John E. Candelo-Becerra
Universidad Nacional de Colombia
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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DC-AC power inverter controlled analogically with zero hysteresis Fredy E. Hoyos Velasco; Carlos I. Hoyos Velasco; John E. Candelo-Becerra
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 6: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1341.618 KB) | DOI: 10.11591/ijece.v9i6.pp4767-4776

Abstract

This paper presents the design and experimental validation of a DC-AC power inverter, controlled analogically with zero hysteresis. A control circuit was built using analog electronics components, and optocoupler devices are used to couple the control module with the power stage. The design of DC-AC inverter with electronics circuit and implementation are shown in detail.  Experimental results show the effectiveness of control technique and implementation, leading to a robust system concerning load disturbances. The developed inverter offers the possibility of generating regulated output voltages of different signal types, both DC and AC, variable in frequency and in amplitude, useful for feeding a load with various AC signals.
Optimal parameters of inverter-based microgrid to improve transient response Sergio Andrés Pizarro Pérez; John E. Candelo-Becerra; Fredy E. Hoyos Velasco
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1979.267 KB) | DOI: 10.11591/ijece.v10i1.pp637-650

Abstract

The inertia issues in a microgrid can be improved by modifying the inverter control strategies to represent a virtual inertia simulation. This method employs the droop control strategy commonly used to share the power of a load among different power sources in the microgrid. This paper utilizes a modified droop control that represents this virtual inertia and applies an optimization algorithm to determine the optimal parameters and improve transient response. The results show better control when different variations are presented in the loads, leading the microgrid to have a better control of the operation. The optimization method applied in this research allows improvement to the transient response, thus avoiding unnecessary blackouts in the microgrid.
Fractal representation of the power demand based on topological properties of julia sets Hector A. Tabares-Ospina; John E. Candelo-Becerra; Fredy E. Hoyos Velasco
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 4: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (997.187 KB) | DOI: 10.11591/ijece.v9i4.pp2831-2839

Abstract

In a power system, the load demand considers two components such as the real power (P) because of resistive elements, and the reactive power (Q) because inductive or capacitive elements. This paper presents a graphical representation of the electric power demand based on the topological properties of the Julia Sets, with the purpose of observing the different graphic patterns and relationship with the hourly load consumptions. An algorithm that iterates complex numbers related to power is used to represent each fractal diagram of the load demand. The results show some representative patterns related to each value of the power consumption and similar behaviour in the fractal diagrams, which allows to understand consumption behaviours from the different hours of the day. This study allows to make a relation among the different consumptions of the day to create relationships that lead to the prediction of different behaviour patterns of the curves.
Co-Authors Carlos I. Hoyos Velasco Fredy E. Hoyos Velasco Fredy Edimer Hoyos Velasco Hector A. Tabares-Ospina Miguel Ángel Garrido Tamayo Sergio Andrés Pizarro Pérez Vladimir Gaviria González Yeison Alberto Garcés Gómez