Optimal Efficiency Control Strategy in Wind Energy Conversion System With Induction Generator

Mesemanolis, Athanasios; Mademlis, Christos; Kioskeridis, I.

doi:10.1109/jestpe.2013.2284562

Cited by 68 publications

(43 citation statements)

References 24 publications

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“…The rotor load current is proportionally related to the power extracted from wind speed [85,86]. The wind speed profile is used to derive the load current [87,88] which is expected to be applied directly through the power converter. Note that the generator rotor current represents the phase current which is fed to the power electronics converter under test.…”

Section: B Prediction Of Modules' Life Consumption In Wind Turbine Amentioning

confidence: 99%

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Musallam

Yin

Bailey

et al. 2015

IEEE Trans. Power Electron.

144

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.ukManuscript ID TPEL-Reg-2014-04-0475.R2 1  Abstract-Power electronics are efficient for conversion and conditioning of the electrical energy through a wide range of applications. Proper life consumption estimation methods applied for power electronics that can operate in real-time under inservice mission profile conditions will not only provide an effective assessment of the products life expectancy but also they can deliver reliability design information. This is important to aid in manufacturing and thus help in reducing costs and maximizing through-life availability. In this paper, a mission profile based approach for real-time life consumption estimation which can be used for reliability design of power electronics is presented. The paper presents the use of electro-thermal models coupled with physics-of-failure analysis by means of real-time counting algorithm to provide accurate life consumption estimations for power modules operating under in-service conditions. These models, when driven by the actual mission profiles, can be utilized to provide advanced warning of failures and thus deliver information that can be useful to meet particular application requirements for reliability at the design stage. To implement this approach, an example of two case studies using mission profiles of a metro-system and wind-turbines applications are presented.

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Section: B Prediction Of Modules' Life Consumption In Wind Turbine Amentioning

confidence: 99%

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Musallam

Yin

Bailey

et al. 2015

IEEE Trans. Power Electron.

144

View full text Add to dashboard Cite

show abstract

“…Due to their ruggedness and brushless structure (in squirrel cage), and lower price, induction generators are also widely used in the WECS [60]. The fixed speed WECS with the induction generators can be directly coupled with the grid, as shown in Fig.…”

Section: Asynchronous/induction Generatormentioning

confidence: 99%

Future research directions for the wind turbine generator system

Hossain

Ali

2015

Renewable and Sustainable Energy Reviews

134

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“…The ELMT adopted in this wind generator system is basically that proposed in [19], improved here expressing the regulation variable in terms of the rotor flux reference, instead of the direct component of the stator current in the rotor flux oriented reference frame to make it more compatible with the adopted version of FOC. The overall active power lost during the regular operation of the IM can be expressed as…”

Section: Electrical Losses Minimisation Techniquementioning

confidence: 99%

“…The latter can be significantly reduced, once the switching frequency of the converter is fixed, by adopting suitable pulsewidth modulation (PWM) techniques, such as the discontinuous (D-PWM) ones [14][15][16]. The electric generator losses terms depend on the kind of machine, and correspondingly any electrical loss minimisation technique (ELMT) [17][18][19] does. All of these techniques are based on the idea of reducing the magnetisation of the machine by directly acting either on the reference flux or on the direct component of the stator current in the field reference frame, for lower values of the load torque.…”

mentioning

confidence: 99%

Induction machines sensors‐less wind generator with integrated intelligent maximum power point tracking and electric losses minimisation technique

Pucci

2015

IET Control Theory & Applications

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This study presents a high-performance wind generation system with induction machine (IM), specifically devised with the target of maximising the efficiency of the electromechanical conversion, and contemporary minimising the number of the system sensors and their cost. To this aim, the control system has been integrated, from one side, with an intelligent maximum power point tracking (MPPT) technique, so to make the generator track the power available in the wind, from the other side with techniques for the minimisation of the electrical losses (ELMT). Particularly, the power converters' switching losses have been reduced adopting a discontinuous pulsewidth modulation, while the IM overall losses have been reduced by a suitable electric losses minimisation technique. Contemporary, to reduce costs and increase the reliability of the system, the system has been devised as a fully sensors-less generation unit, meaning that both the wind speed and the machine speed sensors are not present. The anemometer has been substituted by the wind speed estimator integrated in the MPPT, based on the growing neural gas (GNG) network. The encoder has been substituted with an intelligent IM speed estimator, the so called MCA EXIN + reduced order observer (ROO). The performance of the adopted technique has been verified experimentally on a suitably devised test set-up. IntroductionNowadays, wind energy is becoming an ever more exploited renewable energy source [1,2]. Modern solutions range from permanent magnet synchronous machines, to doubly-fed induction machine or squirrel cage induction machine (IM), each supplied by a suitable power converter [3,4]. Whatever is the machine chosen, from the control point of view, the most challenging issues to be solved are described in the following. First, suitable maximum power point techniques (MPPT) should be developed, able to quickly track any variation of the wind speed, and correspondingly of its power, inside the variable speed range of the wind turbine, avoiding perturb and observer (P&O) [5][6][7] or hill and climb (H&C) algorithms, inevitably requiring very long times to converge in systems characterised by high inertias, as wind generators typically are, and causing persistent undesired oscillations around the MPPs. Even other methods, for example those exploiting proper wind turbine modelling [8][9][10][11] to compute the optimal power reference speed of the drive, can be problematic since they often require the knowledge of a wind speed sensor to work, whose presence can significantly increase the cost and reduce the reliability of the drive system, Some intelligent neural based MPPTs have been proposed in [12,13], respectively, adopting a two radial basis function NNs and a multi-layer perceptron trained by a backpropagation (BPN) algorithm as a virtual anemometer. Both these approaches present the following significant drawbacks: (1) with such approaches, no evidence of the correct learning of inverse characteristic of the wind turbine exists and, (2) a very complex and compu...

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Optimal Efficiency Control Strategy in Wind Energy Conversion System With Induction Generator

Cited by 68 publications

References 24 publications

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Future research directions for the wind turbine generator system

Induction machines sensors‐less wind generator with integrated intelligent maximum power point tracking and electric losses minimisation technique

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