ANN for Motor Loading Diagnosis under Voltage Variation Conditions

Mendes, Nuno; Tabora, Jonathan Muñoz; de Lima Tostes, M.E.; Matos, Edson Ortiz de; H.Bezerra, Ubiratan; Moura, Pedro; Mendes, Jêrome; Ferreira, Fernando J.T.E.; Almeida, Anibal T. de

doi:10.1109/kpec58008.2023.10215414

Cited by 12 publications

(2 citation statements)

References 15 publications

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“…One of the projects under development is the Power Management and Energy Efficiency Project in which energy diagnoses in buildings located in the Federal University of Pará are carried out aiming at opportunities for energy efficiency in lighting systems, air conditioning, and motor drive systems, from which was possible a reduction in consumption and demand as a result of the energy efficiency actions and use of renewable energy [33][34][35][36][37][38]. Figure 2 presents the main actions described.…”

Section: Problem Formulation Federal University Of Pará: Case Studymentioning

confidence: 99%

Demand-Side Management Optimization Using Genetic Algorithms: A Case Study

dos Santos Junior,

Tabora,

Reis

et al. 2024

Energies

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This paper addresses the optimization of contracted electricity demand (CD) for commercial and industrial entities, focusing on cost reduction within the Brazilian time-of-use electricity tariff scheme. Leveraging genetic algorithms (GAs), this study proposes a practical approach to determining the optimal CD profile, considering the complex dynamics of energy demand on a city-like load. The methodology is applied to a case study at the Federal University of Pará, Brazil, where energy efficiency and demand response initiatives as well as renewable energy projects are underway. The findings highlight the significance of tailored demand management strategies in achieving energy-related cost reduction for large-scale consumers, with implications for economic efficiency in energy consumption.

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Section: Problem Formulation Federal University Of Pará: Case Studymentioning

confidence: 99%

Demand-Side Management Optimization Using Genetic Algorithms: A Case Study

dos Santos Junior,

Tabora,

Reis

et al. 2024

Energies

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“…Harmonic currents are those that circulate at a frequency different from the fundamental. Negative sequence harmonics produce a contrary magnetic field that results in a torque opposite to the resulting one, as well as increases in current, decrease in speeds and decrease in power factor [6], [7], [18], [18]- [27].…”

Section: Induction Motorsmentioning

confidence: 99%

Harmonic Classifier for Efficiency Induction Motors Using Ann

Rozal Filho,

Tabora,

Tostes

et al. 2023

Rev. Contemp.

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Modern electrical systems have a significant presence of electronic loads, which in turn produce negative impacts on distribution systems and loads, this has motivated their study to be increasingly prioritized, aiming to reduce their impacts from corrective actions. Harmonics are classified as positive, negative, and zero sequence, and their impacts on loads can vary according to the harmonic present. In the case of electric motors, negative sequence harmonics result in the greatest impacts. This work presents a classifier of existing harmonics in the input waveform of electric motors classes IE2, IE3 and IE4 using artificial neural networks (ANN), for that purpose, negative (2nd), positive (7th) and zero sequence harmonics (3rd) were applied separately and combined in the electric motors, the data was exported for a classification algorithm to identify existing harmonics. The results show how the algorithm presents good approximations of the present harmonics, mainly with those of positive and negative sequence.

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