Optimizing parameters of the shunt active power filter using Genetic algorithm

Thanh, Hien Phan; Van, Huyen Dang; Duy, An Nguyen; Duy, Cuong Nguyen

doi:10.1109/kse.2017.8119464

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…The genetic algorithm (GA) was used for the tuning of the controller by Pericle Zanchetta [10]. The design parameters of SAPFs have also been optimized by using the genetic algorithm approach by Hien [11]. In spite of optimizing the parameters, none of the above-mentioned optimization methods provides information about the sensitivity of the parameters on the performance of SAPF compensation.…”

Section: Introductionmentioning

confidence: 99%

SAPF Parameter Optimization with the Application of Taguchi SNR Method

Sao¹,

Naayagi

Panda

et al. 2022

Electronics

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Non-linear devices draw non-sinusoidal currents from the source; hence, they cause harmonic distortions in power systems. The shunt active power filter (SAPF) is a well-known method for alleviating current harmonics, compensating the reactive power and improving the power factor; however, the effective design of an SAPF is quite challenging and a thrust area of research. The current controlling technique, switching pulse generation technique and parameter selection are cumbersome tasks in SAPF design. SAPF performance depends on the proper selection of many parameters, such as filter interfacing impedance, DC-link capacitor and PI-controller gains. The effect of these parameters on the performance of SAPF has been studied and optimum values have been obtained by using the Taguchi method. This paper also indicates the benefits of using the Taguchi method compared with existing genetic algorithm (GA) for optimizing the parameters of the SAPF. An instantaneous reactive power theory (IRPT)-based SAPF has been modeled and simulated in MATLAB/Simulink. The SAPF’s parameters have been optimized by using the both proposed Taguchi SNR and the existing GA method. With optimized values of parameters results have been obtained, analyzed and the superiority of the proposed Taguchi method over the existing GA method is discussed. The simulation results were also validated with experimental results.

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Section: Introductionmentioning

confidence: 99%

SAPF Parameter Optimization with the Application of Taguchi SNR Method

Sao¹,

Naayagi

Panda

et al. 2022

Electronics

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show abstract

“…[30] Describes the use of Ant Colony Optimization to fine-tune the proportional and integral controller gains in order to increase the performance of SAPF control connected to the integral square error objective function. Genetic algorithm is used in [31] to tune the settings of Proportional and Integral controllers as well as the values of the SAPF's inductor and capacitor to improve performance. The proposed technique is shown in this paper using the Simulink environment, and outcomes indicate an improvement in THD.…”

Section: Introductionmentioning

confidence: 99%

Optimal Hybrid Filtering Strategy Using Adaptive Genetic-Fuzzy Logic Control for Harmonics Reduction in a Standalone Micro Hydroelectric Power Plant Coordinated with a PV System

El-Gammal

Boodoo

2021

EJECE

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Micro Hydro Power Plants are a type of power production that uses the force of river flows or waterfalls to generate electricity. The generator generates current waves and harmonic voltage, which are distorted wave disturbances that cause fundamental frequency multiplication. The major goal of this work is to design a reliable, efficient, and innovative harmonic mitigation approach for a stand-alone micro hydroelectric system that is coordinated with a photovoltaic renewable energy system utilising an active power filter. We may pick the active filter highest harmonic to be suppressed using the magnitude information supplied for each harmonic component. A hybrid filtering approach to remove harmonics and a novel MOGA optimization technique are part of the suggested harmonics reduction solution. The goal of this article is to determine the optimum filter for decreasing harmonics in an induction generator. As the harmonic damper, two filters were chosen: a passive filter and an active power filter. The suggested MOGA control method is compared to GA and evaluated on simulated data. In tracking harmonic components and fundamental frequency, the suggested MOGA control system provides high convergence speed and accuracy. It's extremely adaptable, and it can predict changes in the phase angle, amplitude, and fundamental frequency of harmonic components. When compared to the Genetic Algorithm method, it performs better. Simulation results using the SIMULINK/MATLAB simulation tool are delivered to evaluate the efficacy of the suggested active filter system. The impact of harmonic currents on the magnetic flux density is investigated using the rated condition as a reference. It has been established that the time harmonic is a significant element influencing generator performance. At the same time, the impacts of harmonic currents on the generator's eddy current loss, average torque, and torque ripple are investigated, as well as the mechanism of eddy current loss fluctuation.

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Multilevel Parallel Active Power Filter Based on ANFIS Controller for Harmonic Alleviation

Rathi¹,

Prabha²

2020

Iran J Sci Technol Trans Electr Eng

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Optimizing parameters of the shunt active power filter using Genetic algorithm

Cited by 7 publications

References 7 publications

SAPF Parameter Optimization with the Application of Taguchi SNR Method

SAPF Parameter Optimization with the Application of Taguchi SNR Method

Optimal Hybrid Filtering Strategy Using Adaptive Genetic-Fuzzy Logic Control for Harmonics Reduction in a Standalone Micro Hydroelectric Power Plant Coordinated with a PV System

Multilevel Parallel Active Power Filter Based on ANFIS Controller for Harmonic Alleviation

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