Modeling, control and simulation of DFIG for maximum power point tracking

Sleiman, Mohammad; Kedjar, Bachir; Hamadi, Abdelhamid; Al‐Haddad, Kamal; Kanaan, Hadi Y.

doi:10.1109/ascc.2013.6606327

Cited by 24 publications

(14 citation statements)

References 18 publications

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“…For simulation purposes, accurate models are needed including all the losses in the different components of such systems. Among them, iron, mechanical and rotor copper losses in electrical machines are not always taken into account [18] or only through very simple models such as a resistor for the iron losses for example.…”

Section: Description Of the Systemmentioning

confidence: 99%

Modeling iron, mechanical and rotor copper losses in induction machine with the design of experiments

Chrin

David

Maussion

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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In the field of optimization of hybrid renewable energy systems, maximum power extraction is still an important issue. For simulation purposes, accurate models are needed including all the losses in the different components of such systems. Among them, iron, mechanical and rotor copper losses in electrical machines are not always taken into account and are rather difficult to evaluate at variable speed and with PWM supply. This paper presents a practical and easy way for global loss modeling of an induction machine with the help of the Design of Experiments. This technique is simple since it requires a limited number of experiments and it provides the possibility to take into account several factors and their interactions.

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Section: Description Of the Systemmentioning

confidence: 99%

Modeling iron, mechanical and rotor copper losses in induction machine with the design of experiments

Chrin

David

Maussion

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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“…Mathematical expressions for the stator and rotor d-q voltage can be obtained in the following equation 43,44 :…”

Section: Dfig Modelmentioning

confidence: 99%

“…The GSC controller depicted in Figure 3 consisted of two cascaded controller loops. The mathematical equations of the GSC controller can be expressed as follows 43 :…”

Section: Grid Side Controlmentioning

confidence: 99%

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Variable step size PO MPPT algorithm using model reference adaptive control for optimal power extraction

Ali

Youssef

Ali

et al. 2019

Int Trans Electr Energ Syst

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Summary To eliminate problems of traditional perturb and observe (TPO) maximum power point tracking (MPPT) relying on large scale variable speed wind energy conversion system (VS‐WECS), this paper suggests a variable step size perturb and observe (VS‐PO) MPPT algorithm. The VS‐PO technique is performed to split the power‐speed (P‐ω) curve with four segments every with a particular step size. A large step size is chosen for the two segments distant from the MPP. Otherwise, a smaller step size can be implemented. The proposed algorithm can achieve the maximum power without large oscillations and reduce the settling time under different wind speed conditions, which means high tracking efficiency. Moreover, the model reference adaptive control (MRC) is applied instead of a PI controller to regulate the rotor speed, which maximizes the extracted power. Also, the MRC successful for reducing the large oscillation and settling time compared with the PI controller. The suggested control technique is tested over a 1.5 MW DFIG WECS by MATLAB/Simulink software.

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“…The core loss [30][31][32][33][34][35] is calculated by loss coefficient method, while the copper loss [36][37][38][39][40][41][42][43] can be calculated by analysis method with AC effect considered. Besides, to measure the loss effectively and precisely, some improve modification of experiment has been proposed [44][45].…”

mentioning

confidence: 99%

The ECL Optimization and Experiment of HSPMSM with Improved Method

Liu¹

2018

Preprint

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-The eddy current loss should be optimized to be as less as possible for the stability of permanent magnet in high speed permanent magnet synchronous motor (HSPMSM) rotor and ensure the high efficiency and low temperature of the motor. This paper analyzes the eddy current distribution in rotor, with consideration of the conflict of the thickness of sleeve and diameter of the rotor, calculating the eddy current loss (ECL) and the thermal distribution via Separation of variables method for solving Maxwell's equations with analytical hieratical model of ECL constructed. The optimization result of ECL of the HSPMSM whose power and rated speed is 30kw 48000r/min can be got by multi-objective optimization method, combined weighting coefficient method and traversal algorithm based on chaotic local search particle swarm optimization (CLSPSO), utilizing ECL analytical model and other analytical constraints. Related experiment and measurement has been implemented with new approach of loss separation. Index Terms-eddy current loss, multi-objective optimization (MOO), electromagnetic analysis, equivalent hierarchical method

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Modeling, control and simulation of DFIG for maximum power point tracking

Cited by 24 publications

References 18 publications

Modeling iron, mechanical and rotor copper losses in induction machine with the design of experiments

Modeling iron, mechanical and rotor copper losses in induction machine with the design of experiments

Variable step size PO MPPT algorithm using model reference adaptive control for optimal power extraction

The ECL Optimization and Experiment of HSPMSM with Improved Method

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