ANN based MPPT method for rapidly variable shading conditions

Rizzo, Santi Agatino; Scelba, G.

doi:10.1016/j.apenergy.2015.01.077

Cited by 262 publications

(114 citation statements)

References 48 publications

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“…voltage) [36]. This voltage-source model is widely used to represent the closed-loop grid-connected inverters owing to its satisfactory balance between accuracy and simplicity, which is confirmed in [30][31][32][33][34][35][36][37][38][39][40]. In the topological structure, Pm is the ANN output, namely, the reference power.…”

Section: Nonlinear Model Of Dc/dc Convertermentioning

confidence: 99%

“…When Rs = 0 and Rsh = ∞, the mathematical model [19,30] of the PV array under uniform irradiance can be described by the following equation: …”

Section: Pv Array Model Under Pscmentioning

confidence: 99%

“…In the last decade, several researchers have compared various MPPT techniques [9,10], focusing on the P-V characteristics [11][12][13][14][15], models [16][17][18][19], and methods [20][21][22][23][24][25][26][27][28][29][30][31][32][33] to track the maximum power of PV modules/arrays under partial shading conditions (PSC). The research on the PV output characteristics is mainly focused on the analysis of failure, power loss, and voltage variations in the MPPT method under the PSC.…”

Section: Introductionmentioning

confidence: 99%

“…In the third category, using a heuristic and intelligent optimization algorithm, the global maximum power of the PV system is directly calculated using an iterative method [27][28][29][30][31][32][33], to achieve MPPT. The advantages of these methods are that they do not depend on the model or PV characteristics, and can even update the algorithm through online follow-ups and self-learning.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of MPPT Failure and Development of an Augmented Nonlinear Controller for MPPT of Photovoltaic Systems under Partial Shading Conditions

Chen¹,

Ma²,

Wu³

et al. 2017

Applied Sciences

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Abstract:The output-voltage-power curves of photovoltaic (PV) arrays exhibit complex multi-peak shapes when local shading occurs. The existing maximum power point tracking (MPPT) algorithms to solve this multi-peak problem do not consider the possibility of tracking failures due to the time of the irradiance change. In this study, first, the reason for the failure of the global MPPT (GMPPT) algorithm is analyzed based on the PV array mathematical model and its output characteristics under partial shading conditions; then, in order to estimate the MPP voltage, an artificial neural network (ANN) is trained using environmental information such as irradiance. A hybrid MPPT method using an augmented state feedback precise linearization (AFL) controller combined with an ANN is proposed to solve problems such as the shift of the static operating point of the DC/DC boost converter. Finally, numerical simulations are conducted to validate the proposed method and eliminate the possibility of MPPT failure. The proposed hybrid MPPT method is compared with the conventional perturb and observe (P & O) method and the improved P & O method through simulations. Using the proposed neural network and nonlinear control strategy, the MPP can be tracked rapidly, accurately, and statically, proving that the method is feasible and effective.

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Section: Nonlinear Model Of Dc/dc Convertermentioning

confidence: 99%

“…When Rs = 0 and Rsh = ∞, the mathematical model [19,30] of the PV array under uniform irradiance can be described by the following equation: …”

Section: Pv Array Model Under Pscmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of MPPT Failure and Development of an Augmented Nonlinear Controller for MPPT of Photovoltaic Systems under Partial Shading Conditions

Chen¹,

Ma²,

Wu³

et al. 2017

Applied Sciences

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“…MPPT is used to operate the renewable energy generators in a manner to maximize the output power, irrespective of the operational fluctuations and variations. According to the significant development in last decades, several algorithms have been developed in tracking the maximum power point (MPP) for not only solar PV arrays [20][21][22][23][24][25][26] but also for fuel cell power plant [27,28]. In this context, in order to maximize the performance of PRO in practice, MPPT controller is essential to ensure the design operation and performance of a PRO power plant.…”

Section: Introductionmentioning

confidence: 99%

Maximum power point tracking (MPPT) control of pressure retarded osmosis (PRO) salinity power plant: Development and comparison of different techniques

Luo

Kiselychnyk

et al. 2016

Desalination

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. (2016) Maximum power point tracking (MPPT) control of pressure retarded osmosis (PRO) salinity power plant : development and comparison of different techniques. Desalination,. Permanent WRAP URL:http://wrap.warwick.ac.uk/78938 Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP url' above for details on accessing the published version and note that access may require a subscription. Abstract:This paper presents two new methods for the maximum power point tracking (MPPT) control of a pressure retarded osmosis (PRO) salinity power plant, including mass feedback control (MFC) and fuzzy logic control (FLC). First, a brief overview of perturb & observe (P&O) and incremental mass resistance (IMR) control is given as those two methods have already demonstrated their merit in good control performance. Then, two new methods employing variable-step strategy, MFC and FLC, are proposed to address the trade-off relationship between rise-time and oscillation of P&O and IMR. Genetic Algorithm (GA) is used for finding the optimum parameters of membership functions of FLC. From the case-study of start-up of the PRO adopting MPPT control, MFC and FLC have shown faster convergence to the target performance without oscillation compared with P&O and IMR. These four MPPT techniques are further evaluated in case-studies of state transitions of the PRO due to operational fluctuations. It is proven that the MPPT using FLC and modified MFC has better performance than the other two methods. Finally, the paper reports a comparison of major characteristics of the four MPPT methods, which could be considered as guidance for selecting a MPPT technique for the PRO in practice. IntroductionPressure retarded osmosis (PRO) is a promising method which is potentially capable of producing power and processing water simultaneously because of its nature of combination of the water treatment and renewable energy generation. In other words, it can be used as not only a clean energy generator, but also a water treatment to recycle water. In a PRO plant, chemical potential between the two salinities is converted to hyd...

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Maximum Power Point Tracking Techniques

Balato

Costanzo

Vitelli

2016

Wiley Encyclopedia of Electrical and Electronics Engineering

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An essential objective for many photovoltaic (PV) applications is represented by the so‐called maximum power point tracking (MPPT). Under uniform irradiance and ambient temperature conditions, the power versus voltage characteristic of a PV array is characterized by the presence of a unique point, termed maximum power point (MPP), where the power provided by the array itself attains its maximum value. Any other operating point leads to the extraction of a smaller PV energy. Therefore, in order to avoid the waste of PV energy, the working of the array in its MPP is mandatory. Since the position of the MPP continuously changes in time as a function of irradiance and temperature, it is necessary to continuously track it. Such an objective can be obtained by using proper MPPT control techniques. A large number of papers have appeared in the scientific literature during the last 15 years on the issue of MPPT, and as a result it may be difficult to decide the best technique for a given application. Therefore, this survey may hopefully be beneficial to students, researchers, and practitioners in PV systems. The article overviews the representative PV MPPT algorithms, organized into four main groups. The first group contains the so‐called “hill climbing” techniques, the second group contains the “curve fitting” techniques, the third group contains the “dynamical” techniques, and the fourth group includes all the techniques that do not belong to the first three groups.

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ANN based MPPT method for rapidly variable shading conditions

Cited by 262 publications

References 48 publications

Analysis of MPPT Failure and Development of an Augmented Nonlinear Controller for MPPT of Photovoltaic Systems under Partial Shading Conditions

Analysis of MPPT Failure and Development of an Augmented Nonlinear Controller for MPPT of Photovoltaic Systems under Partial Shading Conditions

Maximum power point tracking (MPPT) control of pressure retarded osmosis (PRO) salinity power plant: Development and comparison of different techniques

Maximum Power Point Tracking Techniques

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