Design and development of a model-based hardware simulator for photovoltaic array

Vijayakumari, A.; Devarajan, A. T.; Devarajan, N.

doi:10.1016/j.ijepes.2012.04.049

Cited by 42 publications

(16 citation statements)

References 13 publications

(10 reference statements)

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“…[25], [26], [27], [28], [29], [30], [31], [32], [33] Wind power - [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57] [24]…”

Section: Resultsmentioning

confidence: 99%

Renewable energy emulation concepts for microgrids

Prieto‐Araujo

Olivella‐Rosell

Cheah-Mañé

et al. 2015

Renewable and Sustainable Energy Reviews

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This article reviews the renewable energy systems emulators proposals for microgrid laboratory testing platforms. Four emulation conceptual levels are identified based on the literature analysis performed. Each of these levels is explained through a microgrid example, detailing its features and possibilities. Finally, an experimental microgrid, built based on emulators, is presented to exemplify the system performance.

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Section: Resultsmentioning

confidence: 99%

Renewable energy emulation concepts for microgrids

Prieto‐Araujo

Olivella‐Rosell

Cheah-Mañé

et al. 2015

Renewable and Sustainable Energy Reviews

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“…The cells operate at a higher temperature than the ambient [9] and the cell temperature at any G is found as,…”

Section: Account Of Variations In V-i Characteristics Due To G and T Cmentioning

confidence: 99%

Extraction of Photovoltaic (PV) Module’s Parameters Using Only the Cell Characteristics for Accurate PV Modeling

Vijayakumari

Devarajan

2015

Proceedings of the International Conference on Soft Computing Systems

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This paper presents a method for extraction of the model parameters pertaining to a commercially available PV module, which can be used to develop an accurate PV model that can serve as a source for simulation studies of both grid-connected and stand-alone PV systems. All the physical parameters required for the PV model are determined only from the published V-I characteristics of the module and the standard cell equation. A curve fitting based extraction technique is proposed to obtain the parameters pertaining to a particular PV module available in the market. The extracted parameters are used and a simulation model of the PV module is developed in MATLAB/Simulink. The inputs to the model are irradiance, ambient temperature, number of series and parallel modules in an array as required in an application. A 115 W commercial module S115 is taken for verification, and its physical parameters are extracted and its simulation model is developed. The characteristics of the developed model with the extracted parameters, for several G and T C are presented and compared with the published data of S115 and compliance confirmed. The model has been tested for sudden changes in irradiance and temperature using a maximum power point tracker.

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“…The dynamic response of the PV emulator varies depending on output resistance [3], [6][7]. A low load resistance causes the overshoot at the output voltage and output current of the PV emulator.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the repetitive testing conditions are difficult to achieve. Due to these drawbacks, the MPPT device tested using the PV emulator would be more cost effective and time-saving.The common PV emulator consists of a conventional buck converter with the proportional-integral (PI) controller and a reference input from the PV model [1][2][3]. Although the conventional buck converter is simple and requires a low number of components, the dynamic response is slow due to a large capacitance in order to maintain a small voltage ripple.…”

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confidence: 99%

An Adaptive Controller for Photovoltaic Emulator using Artificial Neural Network

Ayop

Tan

2017

IJEECS

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The photovoltaic (PV) Keywords: PV, PI Controller, Interleaved Buck Converter, Multiple Stage FilterCopyright © 2017 Institute of Advanced Engineering and Science. All rights reserved. IntroductionThe uses of renewable energy become more popular especially the solar energy due to the increases in the performance of the photovoltaic (PV) module and the power converter. The power produces by the PV module is affected by the weather condition and requires the maximum power point tracking (MPPT) devices and power conditioning system to retrieve the maximum power from the PV module. However, the development of MPPT requires a full control of the factor that affecting the PV module which is the irradiance and module temperature. However, this experimental setup is complex, which requires a large space for the PV module. Moreover, the repetitive testing conditions are difficult to achieve. Due to these drawbacks, the MPPT device tested using the PV emulator would be more cost effective and time-saving.The common PV emulator consists of a conventional buck converter with the proportional-integral (PI) controller and a reference input from the PV model [1][2][3]. Although the conventional buck converter is simple and requires a low number of components, the dynamic response is slow due to a large capacitance in order to maintain a small voltage ripple. The multiple-stage interleaved buck converter improves the reliability, efficiency, and transient response of the PV emulator [4]. The interleaved converter produces a lower inductor current ripple. As a result, a smaller capacitance is required to maintain similar ripple factor thus producing a faster transient response. The two-stage LC filter (TSLCF) is also introduced in the PV emulator application to improve the bandwidth of the PV emulator system [5].The dynamic response of the PV emulator varies depending on output resistance [3], [6][7]. A low load resistance causes the overshoot at the output voltage and output current of the PV emulator. On the other hand, a large load resistance causes the PV emulator to response slower. This problem is overcome by implementing the fuzzy PI controller that adapts to the output resistance [8]. However, the nonlinear characteristic of the PV module also affects the dynamic response of the PV emulator [6]. The overdamped PV emulator output is required to prevent instability of the PV emulator output. Therefore, the dynamic response of the PV emulator becomes slow. To overcome this problem, the control system for the PV emulator not only considers the output resistance, but also the irradiance and temperature. However, by consideration these factors into the controller of the PV emulator, the controller for the PV

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Design and development of a model-based hardware simulator for photovoltaic array

Cited by 42 publications

References 13 publications

Renewable energy emulation concepts for microgrids

Renewable energy emulation concepts for microgrids

Extraction of Photovoltaic (PV) Module’s Parameters Using Only the Cell Characteristics for Accurate PV Modeling

An Adaptive Controller for Photovoltaic Emulator using Artificial Neural Network

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