A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability

Ahmed, Jubaer; Salam, Zainal

doi:10.1016/j.apenergy.2013.12.062

Cited by 480 publications

(186 citation statements)

References 29 publications

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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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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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“…Other MPPT techniques are based on using fractional values of the open circuit voltage and short circuit current, i.e., the Fractional Open Circuit Voltage and the Fractional Short-Circuit Current. The main advantages of those solutions are the low cost and implementation simplicity since they only require a single (voltage or current) sensor [9,10]; But their efficiency is low compared with the P & O and IC algorithms. In contrasts, techniques based on computational intelligence, such as neural networks and fuzzy logic, offer speed and efficiency in tracking the MPP [11][12][13]; however its complexity and implementation costs are high compared with the P & O and IC algorithms, which make them costly solutions.…”

Section: Introductionmentioning

confidence: 99%

Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems

Valencia

Ramos‐Paja

2015

Energies

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Abstract:The maximum power point tracking (MPPT) of photovoltaic systems must be as fast and accurate as possible to increase the power production, which eventually increases the PV system profitability. This paper proposes and mathematically analyses a sliding-mode controller to provide a fast and accurate maximum power point tracking in grid-connected photovoltaic systems using a single control stage. This approach avoids the circular dependency in the design of classical cascade controllers used to optimize the photovoltaic system operation, and at the same time, it reduces the number of controllers and avoids the use of linearized models to provide global stability in all the operation range. Such a compact solution also reduces the system cost and implementation complexity. To ensure the stability of the proposed solution, detailed mathematical analyses are performed to demonstrate the fulfillment of the transversality, reachability and equivalent control conditions. Finally, the performance of the proposed solution is validated using detailed simulations, executed in the power electronics simulator PSIM, accounting for both environmental and load perturbations.

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“…Several authors proposed MPPT algorithms based on Particle Swarm Optimization -Liu et al 2012, Artificial Bee Colony (Sundareswaran et al 2015), Ant Colony Optimization (Jiang et al 2013), Cuckoo Search (Ahmed et al 2014), Firefly (Sundareswaran et al 2014), Grey Wolf Optimizer (Satyajit et al 2016) and Whale Optimization Algorithm (Santhan et al 2016). All these algorithms differ noticeably in terms of accuracy, efficiency, tracking time and complexity (Jordehi 2016).…”

Section: Introductionmentioning

confidence: 99%

Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition

Cherukuri

Rayapudi

2017

Int. J. Renew. Energy Dev.

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ABSTRACT:Partial shading condition is one of the adverse phenomena which effects the power output of photovoltaic (PV) systems due to inaccurate tracking of global maximum power point. Conventional Maximum Power Point Tracking (MPPT) techniques like Perturb and Observe, Incremental Conductance and Hill Climbing can track the maximum power point effectively under uniform shaded condition, but fails under partial shaded condition. An attractive solution under partial shaded condition is application of meta-heuristic algorithms to operate at global maximum power point. Hence in this paper, an Enhanced Grey Wolf Optimizer (EGWO) based maximum power point tracking algorithm is proposed to track the global maximum power point of PV system under partial shading condition. A Mathematical model of PV system is developed under partial shaded condition using single diode model and EGWO is applied to track global maximum power point. The proposed method was programmed in MATLAB environment and simulations are carried out on 4S and 2S2P PV configurations for dynamically changing shading patterns. The results of the proposed method were analyzed and compared with GWO and PSO algorithms. It was observed that proposed method is effective in tracking global maximum power point with more accuracy in less computation time compared to other methods.

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A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability

Cited by 480 publications

References 29 publications

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

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

Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems

Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition

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