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A. Escobar-Mejía
Facultad de Ingeniería, Universidad Tecnológica de Pereira, Pereira 660003, Colombia

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Journal article
Published: 25 April 2021 in Electronics
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This paper proposes adaptive virtual inertia for the synchronverter model implemented in a wind turbine generator system integrated into the grid through a back-to-back converter. A linear dynamic system is developed for the proposed adaptive virtual inertia, which employs the frequency deviation and the rotor angle deviation of the synchronverter model as the state variables and the virtual inertia and frequency droop gain as the control variables. In addition, the proposed adaptive virtual inertia uses a linear quadratic regulator to ensure the optimal balance between fast frequency response and wind turbine generator system stress during disturbances. Hence, it minimizes frequency deviations with minimum effort. Several case simulations are proposed and carried out in MATLAB/Simulink software, and the results demonstrate the effectiveness and feasibility of the proposed adaptive virtual inertia synchronverter based on a linear quadratic regulator. The maximum and minimum frequency, the rate change of the frequency, and the integral of time-weighted absolute error are computed to quantify the performance of the proposed adaptive virtual inertia. These indexes are reduced by 46.61%, 52.67%, 79.41%, and 34.66%, in the worst case, when the proposed adaptive model is compared to the conventional synchronverter model.

ACS Style

Walter Gil-González; Oscar Montoya; Andrés Escobar-Mejía; Jesús Hernández. LQR-Based Adaptive Virtual Inertia for Grid Integration of Wind Energy Conversion System Based on Synchronverter Model. Electronics 2021, 10, 1022 .

AMA Style

Walter Gil-González, Oscar Montoya, Andrés Escobar-Mejía, Jesús Hernández. LQR-Based Adaptive Virtual Inertia for Grid Integration of Wind Energy Conversion System Based on Synchronverter Model. Electronics. 2021; 10 (9):1022.

Chicago/Turabian Style

Walter Gil-González; Oscar Montoya; Andrés Escobar-Mejía; Jesús Hernández. 2021. "LQR-Based Adaptive Virtual Inertia for Grid Integration of Wind Energy Conversion System Based on Synchronverter Model." Electronics 10, no. 9: 1022.

Journal article
Published: 19 April 2021 in Electric Power Systems Research
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In the iron and steel industry, electric arc furnaces (EAFs) are used in the melting and refining process of metals. They are known to demand large amounts of reactive power and cause significant power quality (PQ) problems due to their highly non-linear time varying voltage-current characteristic. Several EAF models have been proposed with the purpose to predict the voltage and current waveforms, to assess the performance of different compensating devices such as static var compensator, synchronous static compensator, active power filters, and –still under study– energy storage systems, and also for planning the installation of iron and steel facilities considering existing real data from similar facilities. An important aspect of these models is related to the estimation of their parameters. This paper presents a new method to estimate the parameters of an EAF model. The method utilizes a multiple-input multiple-output regressor based on support vector machine, that maps from voltage characteristics of the electric arc to the values of the model parameters. The multidimensional support vector regressor (M-SVR) is designed in the training phase, using data from several simulations of the EAF model. These simulations are carried out adjusting the parameters of the model within the search space, and considering the real arc current as input to the model. Then, in the validation phase, for the real voltage waveform, the estimated parameters are obtained using each regressor of the M-SVR. The proposed method is validated by the comparison between the waveforms obtained using the EAF model with actual data from a steel plant. Results show that the relative error between the fundamental component of the current and voltage, for real and simulated waveforms, are 2.1% and 6.3% respectively.

ACS Style

J. Marulanda-Durango; A. Escobar-Mejía; A. Alzate-Gómez; M. Álvarez-López. A Support Vector machine-Based method for parameter estimation of an electric arc furnace model. Electric Power Systems Research 2021, 196, 107228 .

AMA Style

J. Marulanda-Durango, A. Escobar-Mejía, A. Alzate-Gómez, M. Álvarez-López. A Support Vector machine-Based method for parameter estimation of an electric arc furnace model. Electric Power Systems Research. 2021; 196 ():107228.

Chicago/Turabian Style

J. Marulanda-Durango; A. Escobar-Mejía; A. Alzate-Gómez; M. Álvarez-López. 2021. "A Support Vector machine-Based method for parameter estimation of an electric arc furnace model." Electric Power Systems Research 196, no. : 107228.

Journal article
Published: 30 March 2020 in Scientia et technica
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Power systems have faced significant changes in recent years due to the integration of renewable energies in the power grid. Thanks to its multiple advantages, the so-called clean energies play an important role in the development of the electrical system, allowing the active participation of end users in energy markets. However, the intermittent nature of these sources has delayed their full integration into power systems; unless operated in conjunction with energy storage systems (e.g. batteries, ultracapacitors, etc.) to smooth out the generation and match the demand. This article presents a power sharing methodology for the exchange of energy between batteries and ultracapacitors in a photovoltaic installation. The case study comprises a hybrid energy storage system, on-site generation and a residential user, where both the load and generation profiles are analyzed using wavelet transform. The high- and low-frequency components of both profiles are used to calculate the energy that is injected into the energy storage system. Results show that by separating the components of the signal in high and low frequencies it is possible to take advantage of the characteristics of each storage technology, extending its life cycle.

ACS Style

Andrés Escobar Mejía; Valentina Triviño Castañeda; Mauricio Holguin Londoño. A Power Sharing Methodology Considering Wavelet Transform in a Residential Prosumer with a Hybrid Storage System. Scientia et technica 2020, 25, 23 -29.

AMA Style

Andrés Escobar Mejía, Valentina Triviño Castañeda, Mauricio Holguin Londoño. A Power Sharing Methodology Considering Wavelet Transform in a Residential Prosumer with a Hybrid Storage System. Scientia et technica. 2020; 25 (1):23-29.

Chicago/Turabian Style

Andrés Escobar Mejía; Valentina Triviño Castañeda; Mauricio Holguin Londoño. 2020. "A Power Sharing Methodology Considering Wavelet Transform in a Residential Prosumer with a Hybrid Storage System." Scientia et technica 25, no. 1: 23-29.

Journal article
Published: 14 September 2018 in TecnoLógicas
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El presente artículo evalúa el desempeño de un filtro activo empleando tres diferentes técnicas de control de corriente de banda de histéresis: banda fija, banda adaptativa y con modulación por vector espacial. En la comparación se estudian las características de cada técnica y mediante simulación se evalúa su desempeño y operación. En todos los casos se emplea la teoría pq para el cálculo de las corrientes de referencia y se emplea un controlador proporcional para regular la tensión del bus de continua. De acuerdo con los resultados, las técnicas PWM evaluadas permiten una reducción del contenido armónico de la corriente de la red de alimentación de 31 % sin compensación, a un 6 %, considerando el filtro activo de potencia. La técnica de banda adaptativa de histéresis presenta el más bajo desempeño en la reducción de armónicos en las corrientes de la red. Además, se tiene que el método de banda fija de histéresis es el más recomendado para aplicaciones de filtros paralelo debido a que posee una estructura más simple que permite su implementación. Los resultados tambien muestran que la técnica de banda adaptativa de histéresis es la que presenta mayor reducción en las variaciones de la frecuencia de conmutación, requiriendo mayor número de operaciones, ya que requiere calcular el ancho de banda en cada iteración. Mientras que la técnica de modulación por vector espacial y banda de histéresis presenta frecuencias de conmutación altamente variables y mayor complejidad en su implementación.

ACS Style

Duberney Murillo-Yarce; Jesser J. Marulanda-Durango; Andrés Escobar-Mejía. Estudio comparativo de técnicas PWM de banda de histéresis para el control de corriente en filtros activos de potencia paralelos. TecnoLógicas 2018, 21, 91 -106.

AMA Style

Duberney Murillo-Yarce, Jesser J. Marulanda-Durango, Andrés Escobar-Mejía. Estudio comparativo de técnicas PWM de banda de histéresis para el control de corriente en filtros activos de potencia paralelos. TecnoLógicas. 2018; 21 (43):91-106.

Chicago/Turabian Style

Duberney Murillo-Yarce; Jesser J. Marulanda-Durango; Andrés Escobar-Mejía. 2018. "Estudio comparativo de técnicas PWM de banda de histéresis para el control de corriente en filtros activos de potencia paralelos." TecnoLógicas 21, no. 43: 91-106.