Design and Analysis of an MPPT Technique for Small-Scale Wind Energy Conversion Systems

Dalala, Zakariya; Zahid, Zaka Ullah; Yu, Wensong; Cho, Younghoon; Lai, Jih-Sheng

doi:10.1109/tec.2013.2259627

Cited by 206 publications

(108 citation statements)

References 26 publications

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“…This allows situational height and wind speed to be easily simulated by variation of motor speed. This approach has been mainly used for use with high power generation systems [10]. In this study, we are concerned mainly with small domestic wind power generation systems, and our results have been verified by the use of a real system.…”

Section: Introductionmentioning

confidence: 63%

Blade Fault Diagnosis in Small Wind Power Systems Using MPPT with Optimized Control Parameters

Chen

Hung

2015

Energies

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Abstract:A systematic experiment verification of Chaos Embedded Sliding Mode Extremum Seeking Control for maximum power point tracking and a method for detecting possible faults in small wind turbine systems in advance are proposed in this paper. The chaotic logistic map is used to replace the random function in the particle swarm optimization algorithm for faster searching the optimal control parameter U . From the experimental results, it is verified that the Chaos Embedded Sliding Mode Extremum Seeking Control scheme has a better dynamic response than traditional Extremum Seeking Control scheme and Hill-Climbing Search scheme for maximum power point tracking. In the proposed scheme for fault detection, a chaotic synchronization method is used to transform the maximum power point tracking signal into a chaos synchronization error distribution diagram. It is then taken as the characteristic for fault diagnosis purposes. Finally, an extension theory pattern recognition technique is applied to diagnose the fault. Notably, the use of the chaotic dynamic errors as the fault diagnosis characteristic reduces the number of extracted features required, and therefore greatly reduces both the computation time and the hardware implementation cost. From the experimental results, it is shown that the fault diagnosis rate of the proposed method exceeds 98% not only in non-real-time but also in real-time of faults detection of the blades.

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Section: Introductionmentioning

confidence: 63%

Blade Fault Diagnosis in Small Wind Power Systems Using MPPT with Optimized Control Parameters

Chen

Hung

2015

Energies

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“…The method diagrams and results of aerodynamics side are presented in this paper, but the generator side control is not analyzed. Control methods of generator and power converter are presented and analyzed in [8,9]. Dalala et al built the WPSS to implement the new optimal control, which is operated in various case studies using their WPSS [8].…”

Section: Previous Studymentioning

confidence: 99%

“…Control methods of generator and power converter are presented and analyzed in [8,9]. Dalala et al built the WPSS to implement the new optimal control, which is operated in various case studies using their WPSS [8]. The control algorithms and error evaluation are carefully assessed in [9].…”

Section: Previous Studymentioning

confidence: 99%

Implementation of module-based wind power system with pitch angle control

Nguyen

Fujita

2017

Journal of International Council on Electrical Engineering

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This paper presents a module approach for lab-scale wind power systems (WPS). The system is designed into functional modules. These modules can be used independently or in other projects. It is also convenient to handle and set up them on a small table in classrooms and labs. Hence, they are very useful for training and research. In addition, operation on both aerodynamic side and generator side is developed in this research. Many papers on wind system simulators focus only on aerodynamic system with pitch angle control or generator system with optimal control. Thus, the operation of WPS in 2 regions, which requires coordination of aerodynamic and generator sides, is not explained and demonstrated in previous study. Many case studies are conducted to demonstrate the capability of the module-based WPS. The system is capable of speed control, optimal power control and pitch angle control. As illustrated in experimental results, these control strategies can efficiently cooperate under operation in 2 regions of WPS.

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“…The power characteristic of a wind turbine is determined based on the aerodynamic profile of the wind system [4]. The power characteristic specifies that there is a specific optimum turbine speed for each wind speed where the maximum power is captured.…”

Section: Introductionmentioning

confidence: 99%

Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System

et al. 2018

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This paper proposes an artificial neural network (ANN) based maximum power point tracking (MPPT) control strategy for wind energy conversion system (WECS) implemented with a DC/DC converter. The proposed topology utilizes a radial basis function network (RBFN) based neural network control strategy to extract the maximum available power from the wind velocity. The results are compared with a classical Perturb and Observe (P&O) method and Back propagation network (BPN) method. In order to achieve a high voltage rating, the system is implemented with a quadratic boost converter and the performance of the converter is validated with a boost and single ended primary inductance converter (SEPIC). The performance of the MPPT technique along with a DC/DC converter is demonstrated using MATLAB/Simulink.

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Design and Analysis of an MPPT Technique for Small-Scale Wind Energy Conversion Systems

Cited by 206 publications

References 26 publications

Blade Fault Diagnosis in Small Wind Power Systems Using MPPT with Optimized Control Parameters

Blade Fault Diagnosis in Small Wind Power Systems Using MPPT with Optimized Control Parameters

Implementation of module-based wind power system with pitch angle control

Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System

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