A Novel Method of Magnetizing Inductance Investigation of Self-Excited Induction Generators

Kalamen, Lukas; Rafajdus, Pavol; Sekerák, Peter; Hrabovcová, Valéria

doi:10.1109/tmag.2011.2173312

Cited by 35 publications

(17 citation statements)

References 11 publications

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“…The characteristic yields magnetizing inductance, L m , formulated either as a function of magnetizing current or per‐phase voltage. In this analysis, the magnetizing characteristic for the 3‐ and 6‐phase SEIGs is evaluated by conducting synchronous speed tests on them separately.…”

Section: Generalized Model Of Seigsmentioning

confidence: 99%

Generalized model for investigating the attributes of a six-phase self-excited induction generator over a three-phase variant

Khan

2018

Int Trans Electr Energ Syst

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Summary Six‐phase self‐excited induction generator (SEIG) comparative to an equivalent 3‐phase counterpart is investigated in this study. A novel unified, stationary reference frame, dual d‐q model is developed to simulate both SEIG variants. Operating conditions are arranged as short shunt compensation connection of SEIGs with no‐load, static RL, and dynamic loading. Results demonstrate that 6‐phase SEIG supplies full‐load voltages with 21% to 45% lower THDs and incurs 5.5% to 9.8% lesser full‐load copper losses across different loads than the 3‐phase SEIG. This also reflects in the efficiencies of 2 variants, as the 6‐phase SEIG maintains consistently better efficiency. Six‐phase SEIG also gives stable performance with unbalanced loading. Experimental validation of the results is achieved on an open‐end stator winding squirrel‐cage induction machine operated as 3‐ and 6‐phase SEIG. Findings of this study verify the theoretically perceived benefits of high‐phase SEIGs in an orderly manner.

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Section: Generalized Model Of Seigsmentioning

confidence: 99%

Generalized model for investigating the attributes of a six-phase self-excited induction generator over a three-phase variant

Khan

2018

Int Trans Electr Energ Syst

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“…For an unsaturated core, the mutual flux space phasor is given by (6) where, is the unsaturated mutual inductance for sequence . The mutual inductance corresponding to fundamental plane can be experimentally estimated by the slope of the linear part of the mutual flux/magnetizing current characteristics, as shown in Fig.…”

Section: A Machine Voltage Equationsmentioning

confidence: 99%

“…However, induction machines usually incorporate a certain degree of magnetic saturation at rated operating conditions which challenges this generic complete decoupling assumption. Although saturation effects have been carefully addressed in the literature for three-phase induction machines [4][5][6][7][8][9][10][11][12], limited recent work has been reported in machines with higher phase order [13,14]. In [13], the effect of saturation on the air gap flux density waveform of five-phase induction machines was presented.…”

mentioning

confidence: 99%

A five-phase induction machine model using multiple DQ planes considering the effect of magnetic saturation

Abdel‐Khalik

Ahmed

Massoud

2014

2014 IEEE Energy Conversion Congress and Exposition (ECCE)

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Multiphase phase induction machines are usually modeled using multiple dq planes, where complete decoupling between these sequence planes is usually assumed. This assumption may be accepted if the magnetic circuit is assumed linear. However, at rated operating conditions, a degree of magnetic saturation is normally expected in induction machines, which breaks this generic complete decoupling assumption. Considering the saturation effects in multiphase induction machine, mathematical modeling has not been widely addressed in the literature. This paper introduces a five-phase induction machine model based on the well-known conventional dq model with multiple planes considering the effect of magnetic saturation. The flux correction method is used to represent the effect of magnetic saturation with modifications to include the effect of cross coupling between fundamental and third sequence planes due to the saturation effect. Experimental validation is carried out using a 1.5Hp prototype five-phase induction machine.

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“…The analysis has given the insight about the magnetizing reactance of the machine. Later a new method has been formulated by kalamen et al [10] for determining the magnetizing inductance of the induction machine. The important role of this magnetizing inductance is to build the voltage and for stability improvement under dynamic load variations.…”

Section: Introductionmentioning

confidence: 99%

Power Quality Improvement for Wind Energy Conversion System using Composite Observer Controller with Fuzzy Logic

M.B¹,

Saravanan.²

2018

IJISA

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In this paper, power quality at the distribution system has been examined by introducing an observer based control technique with fuzzy logic controller for wind energy conversion systems with constant wind velocity, for combination of linear, nonlinear loads and with load removal in one of the phases. The power quality improvement, including voltage regulation and reactive power management on the distribution side is achieved and the device used here is a distributed static compensator (DSTATCOM) a voltage source converter(VSC) based power electronic device. The performance is found to be satisfactory with the implementation of DSTATCOM for better voltage regulation with self-sustained DC link voltage at VSC of DSTATCOM. The fuzzy logic controller is used to generate gate pulses to VSC for power quality improvement and is simulated in MATLAB environment and results are studied. IndexTerms-Distributed static compensator (DSTATCOM), fuzzy logic controller, induction generator, nonlinear load, power quality, voltage control, voltage source controller (VSC).

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A Novel Method of Magnetizing Inductance Investigation of Self-Excited Induction Generators

Cited by 35 publications

References 11 publications

Generalized model for investigating the attributes of a six-phase self-excited induction generator over a three-phase variant

Generalized model for investigating the attributes of a six-phase self-excited induction generator over a three-phase variant

A five-phase induction machine model using multiple DQ planes considering the effect of magnetic saturation

Power Quality Improvement for Wind Energy Conversion System using Composite Observer Controller with Fuzzy Logic

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