2017
DOI: 10.1049/iet-gtd.2016.1278
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Intelligent localisation of multiple non‐linear loads considering impact of harmonic state estimation accuracy

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Cited by 25 publications
(16 citation statements)
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References 26 publications
(59 reference statements)
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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
“…O uso de PMUs no contexto da estimação de estados é amplamente citado na literatura como em [18][19][20][21].…”
Section: Introductionunclassified
“…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%
“…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%