Intelligent localisation of multiple non‐linear loads considering impact of harmonic state estimation accuracy

Neste trabalho, um modelo de otimização é formulado para se estimar estados harmônicos a partir de um algoritmo robusto à introdução de erros grosseiros. Na abordagem proposta, magnitudes e ângulos de tensões harmônicas são as variáveis de estados a serem determinadas pela solução do problema de otimização proposto. Medições fasoriais sincronizadas são consideradas para a abordagem sendo o sistema IEEE de 14 barras utilizado para validar o método proposto e atestar a eficiência do mesmo considerando cargas não lineares conectadas ao sistema. Comparações são realizadas com um fluxo de potência e o método tradicional dos Mínimos Quadrados Ponderados (MQP). A fim de se melhorar o desempenho computacional do processo da estimativa de estados para cada ordem harmônica, o uso de processamento paralelo é adotado. Palavras-chave: estimação de estados; qualidade de energia; distorção harmônica; fluxo de potência.

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“…O uso de PMUs no contexto da estimação de estados é amplamente citado na literatura como em [18][19][20][21].…”

Section: Introductionunclassified

Estimação Robusta De Estados Harmônicos Considerando Supressão De Erros Grosseiros: Uma Abordagem Usando Um Modelo De Otimização / a Robust Harmonic State Estimation Considering Bad Data Suppression: An Approach Using an Optimization Model

Melo

Almeida

2021

BJD

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“…Over the last few years, the linear loads in the power system are being replaced with power electronic loads [1]. Increase in power electronic loads is due to increased usage of consumer electronics, light-emitting diode lights, electric drives and integration of storage.…”

Section: Introductionmentioning

confidence: 99%

Adaptive shunt filtering control of UPQC for increased nonlinear loads

Choudhury

Das

Anand

et al. 2019

IET Power Electronics

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In a distribution system, to compensate for the effect of voltage sag/swell and mitigate harmonic currents, a unified power quality conditioner (UPQC) is used. Conventionally, the power rating of UPQC is determined based on the expected sag/ swell, linear and nonlinear loads. However, with the shift towards usage of electronic loads and electrical drives, the composition of nonlinear loads is increasing. Hence, the UPQC deployed earlier may not be capable of handling increased harmonic currents due to its limited current rating. While trying to compensate for both harmonic currents and voltage sag/swell, the shunt converter (of UPQC) may reach its current limit and would result in undesirable behaviour. To address this issue, a technique to prioritise sag/swell compensation over active filtering is proposed in this study. The remaining power capacity of UPQC (after sag/swell compensation) is utilised for harmonic filtering. Adaptive determination of harmonic compensation current also allows prioritising the various harmonics to be compensated. This helps in case passive tuned filters are installed for some harmonic frequencies for which UPQC need not respond. Detailed simulation studies are performed on MATLAB/SIMULINK platform and results are included in this study. A laboratory prototype of single phase UPQC is developed to validate the performance of the proposed scheme.

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“…This method has just been implemented on the non-radial power system. In [7], the authors present an intelligent approach based on fuzzy logic and direction of harmonic powers for identification of location and relation level of harmonic sources. Also the impact of harmonic state estimation accuracy was investigated on the identification of multiple harmonic sources.…”

Section: Introductionmentioning

confidence: 99%

“…In [8], the authors present a comprehensive approach based on the fuzzy logic and adjusted probabilistic neural network (PNN) for identification of multiple harmonic sources. In [7,8], the inverter-based DGs such as PV, DFIG, and MT were not considered and they declared that these approaches may fail to identify some type of buses and harmonic sources. Wavelet decomposition has been used in [9] to identify the location and type of harmonic sources.…”

Section: Introductionmentioning

confidence: 99%

Identification of multiple harmonic sources in power system containing inverter‐based distribution generations using empirical mode decomposition

Moradifar

Foroud

Fouladi

2019

IET Generation, Transmission & Distribution

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Intelligent localisation of multiple non‐linear loads considering impact of harmonic state estimation accuracy

Cited by 25 publications

References 26 publications

Estimação Robusta De Estados Harmônicos Considerando Supressão De Erros Grosseiros: Uma Abordagem Usando Um Modelo De Otimização / a Robust Harmonic State Estimation Considering Bad Data Suppression: An Approach Using an Optimization Model

Estimação Robusta De Estados Harmônicos Considerando Supressão De Erros Grosseiros: Uma Abordagem Usando Um Modelo De Otimização / a Robust Harmonic State Estimation Considering Bad Data Suppression: An Approach Using an Optimization Model

Adaptive shunt filtering control of UPQC for increased nonlinear loads

Identification of multiple harmonic sources in power system containing inverter‐based distribution generations using empirical mode decomposition

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