Power system harmonics estimation using Particle Swarm Optimization

Rabelo, Ricardo A. L.; Lemos, Marcus; Barbosa, Daniel

doi:10.1109/cec.2012.6252998

Cited by 9 publications

(6 citation statements)

References 14 publications

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“…In these tables it also presented a comparison between the results obtained with CGA and SGA. Also, they show the answer gotten by DFT and PSO as presented in [15]. It should be said that the results showed in Figures 6 to 9 for the CGA were obtained considering a population size of 100 individuals and a tournament size of 2.…”

Section: Estimation Of the Harmonic Components Using The Proposed Metmentioning

confidence: 95%

“…Thus, a waveform as a function of time can be descripted by Eq. (1) [15,21] in which x(t) is the resulting value of the sum of the continuous component and the harmonic components and x 0 is the continuous component of the signal and λ is a time constant. A c,i , A s,i , θ c,i , and θ s,i are the cosine and sine amplitudes and the phase angles of the ith harmonics, respectively; ω 0 is the angular frequency; t is the time the sample occurred; i is the order of the harmonic; and N is the number of harmonics present in the signal used to represent x(t).…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Among the many techniques used, particularly noticeable are the methods based on Discrete Fourier Transform (DFT) [8], Fast Fourier Transform (FFT) [9], the Least-Squares adjustment (LS) [10], Wavelet Transform [11], and Kalman Filter [12]. The mentioned methods can be affected by the continuous current component (CCC) [9], however, methods based on computational intelligence such as Artificial Neural Networks (ANN) [13,14], Particle Swarm Optimization (PSO) [15], and Genetic Algorithms [16] are weakly influenced by the CCC [15] and show good results for estimating harmonic components.…”

Section: Introductionmentioning

confidence: 99%

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An Application of Simple and Compact Genetic Algorithms for Estimating Harmonic Components

Pessoa¹,

Ulisses²,

Branco³

et al. 2015

Power Quality Issues in Distributed Generation

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This work presents an approach for the harmonic components estimation problem present in electrical power systems by making use of evolutionary algorithms. The referential data were obtained by the "TP "lternative Transients Program software. Compact and simple genetic algorithms were applied to estimate the parameters of non-linear function to generate a waveform as similar as possible to the one provided by the "TP software. The results yielded by the aforementioned evolutionary algorithms were then compared with one another in a number of scenarios, using the values obtained by the waveform of reference generated by the "TP software. The comparisons were used to seek evidence of which algorithm solved the problem in a setting with limited availability of computational resources. "ased on the generated results, it has been found that compact genetic algorithm satisfactorily solves the proposed problem and it is the most indicated method, when less computational effort is required.

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Section: Estimation Of the Harmonic Components Using The Proposed Metmentioning

confidence: 95%

Section: Problem Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Application of Simple and Compact Genetic Algorithms for Estimating Harmonic Components

Pessoa¹,

Ulisses²,

Branco³

et al. 2015

Power Quality Issues in Distributed Generation

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“…Mazumdar and Harley (2008) studied a recurrent neural network trained with the back propagation through a time training algorithm to find a way of distinguishing between so-called load harmonics and supply harmonics. Rabeˆlo et al (2012) investigated the particle swarm optimization method for harmonic component estimation. Ketabi et al (2012) employed a seeker optimization algorithm for harmonic state estimation.…”

Section: Introductionmentioning

confidence: 99%

Acceleration harmonic identification algorithm based on the unscented Kalman filter for shaking signals of an electro-hydraulic servo shaking table

Yao

Xiao

Chen

et al. 2014

Journal of Vibration and Control

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Since there are nonlinearities in an electro-hydraulic servo shaking table, when the shaking table corresponds to sinusoidal shaking tests, its response contains higher harmonics, resulting in harmonic distortion and deteriorating the control performance. It needs to provide harmonic information for harmonic cancellation. The purpose of the paper is to develop an online acceleration harmonic identification algorithm for the shaking table. The unscented Kalman filter is applied to achieve this task. A nonlinear state space of the sinusoidal acceleration response is built for the unscented Kalman filter, which estimates the state of the nonlinear model, and the amplitude and phase of each harmonic, including the fundamental, can be directly decomposed from the identified state vector. The state transition equation is linear and the measurement equation is nonlinear. The efficiency and real-time performance of the developed acceleration harmonic identification are validated by simulation and experiment, in which the estimation error is further used to testify the estimation accuracy.

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“…Dentre as diversas técnicas utilizadas, destacam-se os métodos baseados na transformada discreta de fourier (TDF) [9], transformada rápida de fourier (FFT) [10], no ajuste dos mínimos quadrados (LS) [11], na transformada wavelet [12] e no filtro de Kalman [13]. Os métodos anteriormente mencionados podem ser afetados pelo componente de corrente contínua (CCC) [10], no entanto métodos baseados em inteligência computacional, tais como redes neurais artificiais (ANN) [14] [15], otimização por enxame de partí-culas (Particle Swarm Optimization -PSO) [16] e Algoritmos Genéticos [17] são pouco influenciados pelo CCC [16] e apresentam bons resultados para a estimação das componentes harmônicas.…”

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Uma aplicação de algoritmos genéticos simples e compacto para estimação de componentes harmônicas

Pessoa

Ulisses

Branco

et al. 2015

Revista Brasileira De Computação Aplicada

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Resumo: Este trabalho apresenta uma abordagem para o problema da estimação de componentes harmônicas presente nos sistemas elétricos de potência, utilizando algoritmos evolutivos. Os dados de referência para o trabalho foram obtidos por meio do software Alternative Transients Program (ATP). Foram aplicados o algoritmo genético compacto e o algoritmo genético simples para estimar os parâmetros a fim de obter uma onda o mais próximo possível da onda fornecida pelo ATP. Os resultados obtidos com os algoritmos evolutivos citados são comparados entre si, em diversos cená-rios, e com os valores obtidos com a onda de referência gerada pelo software ATP. As comparações foram feitas com o intuito de evidenciar qual algoritmo resolve o problema exposto para uma aplicação dispondo de recursos computacionais limitados. Com base nos resultados, verificou-se que o algoritmo genético compacto resolve de forma satisfatória o problema proposto, sendo o CGA mais indicado que o SGA em situações que necessitam de um menor esforço computacional.Palavras-chave: Algoritmo genético compacto. Algoritmo genético simples. Harmônicas. Sistemas elétricos de potência. Abstract:The following work presents an approach for the harmonic components estimation problem, present on electrical power systems, by making use of evolutionary algorithms. The referential data was obtained by the alternative transients program (ATP) software. Compact and simple genetic algorithms where then applied to estimate the parameters to generate a wave as similar as possible to the one provided by the ATP software. The results yielded by the aforementioned evolutionary algorithms were then compared with one another in a number of scenarios, and using the values obtained by the wave of reference generated by the ATP software. The comparisons were used to seek evidence of which algorithm solved the problem, in a setting with limited availability of computational resources. Based on the generated results, it has been found that the Compact Genetic Algorithm satisfactorily solves the proposed problem, and it is the most indicated method, for when less computational effort is required.Keywords: Compact genetic algorithm. Electrical power systems. Harmonics. Simple genetic algorithm. IntroduçãoIdealmente, os sistemas elétricos de potência (SEPs) devem apresentar uma rede simétrica [1] e operar com forma de onda da tensão e corrente o mais próximo possível de uma senoide, contendo magnitude constante, bem como a frequência de 60Hz ± 0.5Hz. Porém, essa situação nem sempre é encontrada, o que implica na ocorrência de distúrbios na qualidade da energia elétrica (QEE) [2]. Os problemas na QEE estão associados a qualquer distúrbio manifestado na tensão, corrente ou desvio de frequência que resulte em falha ou operação indevida dos 1 UESPI, Campus Poeta Torquato Neto -Piauí (PI) -Brasil. {andreluissilvapessoa,ulissesph,hermesmanoel@gmail.com} 2 UFPI, Campus Ministro Petrônio Portella -Piauí (PI) -Brasil.

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Power system harmonics estimation using Particle Swarm Optimization

Cited by 9 publications

References 14 publications

An Application of Simple and Compact Genetic Algorithms for Estimating Harmonic Components

An Application of Simple and Compact Genetic Algorithms for Estimating Harmonic Components

Acceleration harmonic identification algorithm based on the unscented Kalman filter for shaking signals of an electro-hydraulic servo shaking table

Uma aplicação de algoritmos genéticos simples e compacto para estimação de componentes harmônicas

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