Improved estimation of iron losses for non-sinusoidal voltages. Issue 5 (10th August 2018)
- Record Type:
- Journal Article
- Title:
- Improved estimation of iron losses for non-sinusoidal voltages. Issue 5 (10th August 2018)
- Main Title:
- Improved estimation of iron losses for non-sinusoidal voltages
- Authors:
- Ionita, Valentin
Petrescu, Lucian
Cazacu, Emil - Abstract:
- Abstract : Purpose: The electrical machines connected to modern electric power grids are non-sinusoidal excited, and their augmented losses, including iron losses, limit their working characteristics. This paper aims to propose a prediction method for iron losses in non-oriented grains (NO) FeSi sheets under non-sinusoidal voltage, involving an inverse classical Preisach hysteresis model and the time-integration of each loss component. Design/methodology/approach: The magnetic history management in inverse Preisach model is optimized and a numerical Everett function is identified from measured symmetrical hysteresis cycles. The experimental data for sinusoidal waveforms obtained by a single sheet tester were also used to identify the parameters involved in Bertotti' losses separation method. The non-sinusoidal magnetic induction waveform, corresponding to a measured voltage in an industrial electrical grid, was the input for Preisach model, the output magnetic field being accurately computed. The hysteresis, classical and excess losses are calculated by time-integration and the total losses are compared with those obtained for sinusoidal excitation. Findings: The proposed method allows to estimate the iron losses for non-sinusoidal magnetic induction, using carefully identified parameters of FeSi NO sheets, using experimental data from sinusoidal regimes. Originality/value: The method accuracy is assured by using a numerical Everett function, a variable Preisach grid stepAbstract : Purpose: The electrical machines connected to modern electric power grids are non-sinusoidal excited, and their augmented losses, including iron losses, limit their working characteristics. This paper aims to propose a prediction method for iron losses in non-oriented grains (NO) FeSi sheets under non-sinusoidal voltage, involving an inverse classical Preisach hysteresis model and the time-integration of each loss component. Design/methodology/approach: The magnetic history management in inverse Preisach model is optimized and a numerical Everett function is identified from measured symmetrical hysteresis cycles. The experimental data for sinusoidal waveforms obtained by a single sheet tester were also used to identify the parameters involved in Bertotti' losses separation method. The non-sinusoidal magnetic induction waveform, corresponding to a measured voltage in an industrial electrical grid, was the input for Preisach model, the output magnetic field being accurately computed. The hysteresis, classical and excess losses are calculated by time-integration and the total losses are compared with those obtained for sinusoidal excitation. Findings: The proposed method allows to estimate the iron losses for non-sinusoidal magnetic induction, using carefully identified parameters of FeSi NO sheets, using experimental data from sinusoidal regimes. Originality/value: The method accuracy is assured by using a numerical Everett function, a variable Preisach grid step (adapted for the high non-linearity of FeSi sheets) and high-order fitting polynomials for the microscopic parameters involved in the excess loss estimation. The procedure allows a better design of magnetic cores and an improved estimation of the electric machine derating for non-sinusoidal voltages. … (more)
- Is Part Of:
- Compel. Volume 37:Issue 5(2018)
- Journal:
- Compel
- Issue:
- Volume 37:Issue 5(2018)
- Issue Display:
- Volume 37, Issue 5 (2018)
- Year:
- 2018
- Volume:
- 37
- Issue:
- 5
- Issue Sort Value:
- 2018-0037-0005-0000
- Page Start:
- 1698
- Page End:
- 1706
- Publication Date:
- 2018-08-10
- Subjects:
- Iron losses -- Fe-Si sheet -- Inverse Preisach hysteresis model -- Losses separation -- Non-sinusoidal voltage -- Numerical Everett function
Electrical engineering -- Data Processing -- Periodicals
Electrical engineering -- Mathematics -- Periodicals
Electrical engineering -- Periodicals
Electronics -- Data Processing -- Periodicals
Electronics -- Mathematics -- Periodicals
621.3 - Journal URLs:
- http://www.emeraldinsight.com/0332-1649.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/COMPEL-12-2017-0527 ↗
- Languages:
- English
- ISSNs:
- 0332-1649
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.924000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22086.xml