MPPT-Based Particle Swarm and Cuckoo Search Algorithms for PV Systems

Abo‐Elyousr, Farag K.; Abdelshafy, Alaaeldin M.; Abdelaziz, Almoataz Y.

doi:10.1007/978-3-030-05578-3_14

Cited by 35 publications

(18 citation statements)

References 29 publications

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“…The contribution of different optimisation MPPT techniques based on literature is given in brief in Table 9. Novel methodologies in this optimisation technique is explained in Literature works [135–138].…”

Section: Optimisation‐based Mpptmentioning

confidence: 99%

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Bollipo

Mikkili

Bonthagorla

2020

IET Renewable Power Generation

267

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Maximum power extraction from the photovoltaic (PV) system plays a critical role in increasing efficiency during partial shading conditions (PSC's). The higher cost and low conversion efficiency of the PV panel necessitate the extraction of the maximum power point (MPP). So, a suitable maximum power point tracking (MPPT) technique to track the MPP is of high need, even under PSC's. This study gives an extensive review of 23 MPPT techniques present in literature along with recent publications on various hardware design methodologies. MPPT classification is done into three categories, i.e. Classical, Intelligent and Optimisation depending on the tracking algorithm utilised. During uniform insolation, classical methods are highly preferred as there is only one peak in the P-V curve. However, under PSC's, the P-V curve exhibits multiple peaks, one global MPP (GMPP) and the remaining are local MPPs. Hence, Intelligent and Optimisation techniques came into limelight to differentiate the GMPP out of all LMPPs. Every MPPT technique has its advantages and limits, but a streamlined MPPT is drafted in numerous parameters like sensors required, hardware implementation, tracking in PSC's, cost, tracking speed and tracking efficiency. This present study aimed to address the advancement in this area for further research. Nomenclature C dc DC link capacitor V mpp voltage at maximum power point I mpp current at maximum power point P mpp power at maximum power point P-V curve power-voltage curve I-V curve current-voltage curve V oc PV open circuit voltage I sc PV short circuit current

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Section: Optimisation‐based Mpptmentioning

confidence: 99%

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Bollipo

Mikkili

Bonthagorla

2020

IET Renewable Power Generation

267

View full text Add to dashboard Cite

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“…In this article, a comprehensive comparative analysis has been carried out on the recently developed MPPT techniques such as VSS-P&O [54], modified incremental conductance (MIC) [55], FOCV [56], fixed step size radial basis functional algorithm (FSS-RBFA) [57], variable step size radial basis functional algorithm (VSS-RBFA) [58], AFLC [52], PSO [59], and cuckoo search (CS) [60]. The schematic of a PV-fed MPPT controlled boost converter power generation system is illustrated in Figure 2.…”

Section: Of 27mentioning

confidence: 99%

“…First, each cuckoo should generate only one egg and, second, the existed egg in the first iteration should be good quality, then, only it will go to the next step. Finally, the host nets are fixed values [60]. The levy function is used in CS to determine the step size of each particle in each and every iteration.…”

Section: Cuckoo Search-based Mppt Techniquementioning

confidence: 99%

Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

2020

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Solar photovoltaic (PV) systems are attracting a huge focus in the current energy scenario. Various maximum power point tracking (MPPT) methods are used in solar PV systems in order to achieve maximum power. In this article, a clear analysis of conventional MPPT techniques such as variable step size perturb and observe (VSS-P&O), modified incremental conductance (MIC), fractional open circuit voltage (FOCV) has been carried out. In addition, the soft computing MPPT techniques such as fixed step size radial basis functional algorithm (FSS-RBFA), variable step size radial basis functional algorithm (VSS-RBFA), adaptive fuzzy logic controller (AFLC), particle swarm optimization (PSO), and cuckoo search (CS) MPPT techniques are presented along with their comparative analysis. The comparative analysis is done under static and dynamic irradiation conditions by considering algorithm complexity, tracking speed, oscillations at MPP, and sensing parameters. The single-diode model PV panel and double-diode model PV panel are also compared in terms of fill factor (FF) and maximum power extraction. Clear insight is presented supporting the suitability of MPPT techniques for different types of converter configurations.

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“…To improve the convergence efficiency of the cukoo′s method, an adaptive cuckoo search algorithm is proposed by the researchers in [125,128]. The flow chart of this Adoptive Cuckoo Search Algorithm (ACCO) is shown in Figure 35.…”

Section: Adoptive Cuckoo Search Algorithm For Mpptmentioning

confidence: 99%

A Comprehensive Review on a PV Based System to Harvest Maximum Power

et al. 2019

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In this paper, a comprehensive review of essential components of the PV (Photovoltaic) system is elaborated, and their comparative unique features are discussed. The paper describes hardware design (power converters topologies specifically) employed in PV based energy generation systems to harvest maximum power from the available energy source. In this study, thirty different Maximum Power Point Tracking (MPPT) techniques have been critically analyzed and their response with respect to partial shading condition has been discussed. It is very difficult to say which technique is best as one must consider various factors and parameters while selecting a technique such as application, convergence speed, accuracy, efficiency, system reliability, and cost and performance of available hardware. Aiming at the complexity, hardware implementation, tracking speed, steady-state accuracy, or global maximum detection of the algorithm, an MPPT algorithm based on a rule table is proposed. In addition, the MPPT of a PV system based on bio inspired techniques is considered. The bio inspired algorithms and its application in PV system are compared for the authenticity of the review, and six different MPPT techniques are implemented on PV systems. A comparative analysis is made based on the results of four different cases of irradiance.

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MPPT-Based Particle Swarm and Cuckoo Search Algorithms for PV Systems

Cited by 35 publications

References 29 publications

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

Different Conventional and Soft Computing MPPT Techniques for Solar PV Systems with High Step-Up Boost Converters: A Comprehensive Analysis

A Comprehensive Review on a PV Based System to Harvest Maximum Power

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