Core Loss Prediction in Large Hydropower Generators: Influence of Rotational Fields

Ranlöf, Martin; Wolfbrandt, Arne; Lidenholm, Johan; Lundin, Urban

doi:10.1109/tmag.2009.2019115

Cited by 39 publications

(16 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The [1]- [2] analyzed iron core loss effect from iron core material and change of the specific operating conditions. The [3]- [4] made analysis of the corresponding iron loss model for the structure diversity, and proved the direct connection between structure of stator and rotor and rotating iron loss. The [5] built a 2-D electromagnetic field mathematical model of 150mW steam turbine generator, and analyzed iron loss distribution of the stator by numerical calculation.…”

Section: Introductionmentioning

confidence: 92%

Parameter Optimal Choice of Claw Pole Alternator based on Iron Loss Model

Bao

Wei

Wu³

et al. 2013

Journal of international Conference on Electrical Machines and

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 92%

Parameter Optimal Choice of Claw Pole Alternator based on Iron Loss Model

Bao

Wei

Wu³

et al. 2013

Journal of international Conference on Electrical Machines and

View full text Add to dashboard Cite

“…One of the most common ways of computing rotational losses is by adding a correction factor to the calculated pulsating losses. This correction factor can also be computed for each individual loss component as in equation (1) from [28]. This method of core loss calculation is an approximate way to account for rotational losses in addition to using already available pulsating loss data.…”

Section: B Core Loss Calculationmentioning

confidence: 99%

“…[24] - [27] show some models used to calculate losses in machines. Often rotational losses are compensated for by adding a correction factor dependent on aspect ratio R. The authors in [28] review some loss models that include rotational losses applied to large hydro generators. Results showed that a model with correction factors for individual loss components was more accurate.…”

Section: Introductionmentioning

confidence: 99%

Consideration of design and operation on rotational flux density distributions in hydro generator stators

Akiror

Merkhouf²,

Hudon

et al. 2014

2014 International Conference on Electrical Machines (ICEM)

View full text Add to dashboard Cite

Core losses in an electrical machine vary depending on the type of material, frequency and flux density. Loss prediction using pulsating models is insufficient for estimating core losses in a machine since it does not take into account rotational core losses. Moreover the superposition of pulsating losses in the radial and tangential direction overestimates losses especially at higher flux densities. The objective of this paper is to study the rotational flux density distribution in the stator of a generator under different operating conditions. The distribution of rotational flux in a large hydro generator stator is studied by plotting the aspect ratio. It was found that increasing the yoke length increases the area experiencing rotational flux. Varying the air gap and output power showed slight changes in the rotational flux distribution. However they have an effect on the flux magnitude and harmonics which potentially increase the total losses. Dimensions and operating conditions of the machine therefore affect the total core losses.

show abstract

“…(12), by subtraction of an additional braking torque term T e iron proportional to the instantaneous iron power loss, p iron . The instantaneous iron power loss can be estimated with a dynamic loss separation model [26] …”

Section: Impact Of Dynamic Iron Lossesmentioning

confidence: 99%