Experimental Analysis of hill-climbing MPPT algorithms under low irradiance levels

Jately, Vibhu; Azzopardi, Brian; Joshi, Jyoti; Venkateswaran, Balaji; Sharma, Abhinav; Arora, S. R.

doi:10.1016/j.rser.2021.111467

Cited by 134 publications

(48 citation statements)

References 45 publications

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“…This process is repeatedly carried out until the desired outcome is achieved. As the MPPT algorithm is implemented with the help of DC/DC or DC/AC converters, the MPP can be tracked with the help of three parameters, i.e., duty, voltage, and current [34].…”

Section: Perturb and Observementioning

confidence: 99%

A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions

et al. 2022

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In this paper, a new hybrid TSA-PSO algorithm is proposed that combines tunicate swarm algorithm (TSA) with the particle swarm optimization (PSO) technique for efficient maximum power extraction from a photovoltaic (PV) system subjected to partial shading conditions (PSCs). The performance of the proposed algorithm was enhanced by incorporating the PSO algorithm, which improves the exploitation capability of TSA. The response of the proposed TSA-PSO-based MPPT was investigated by performing a detailed comparative study with other recently published MPPT algorithms, such as tunicate swarm algorithm (TSA), particle swarm optimization (PSO), grey wolf optimization (GWO), flower pollination algorithm (FPA), and perturb and observe (P&O). A quantitative and qualitative analysis was carried out based on three distinct partial shading conditions. It was observed that the proposed TSA-PSO technique had remarkable success in locating the maximum power point and had quick convergence at the global maximum power point. The presented TSA-PSO MPPT algorithm achieved a PV tracking efficiency of 97.64%. Furthermore, two nonparametric tests, Friedman ranking and Wilcoxon rank-sum, were also employed to validate the effectiveness of the proposed TSA-PSO MPPT method.

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Section: Perturb and Observementioning

confidence: 99%

A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions

et al. 2022

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“…Compared with individuals with poor environmental adaptability, individuals with good environmental adaptability are more likely to survive. Hill-climbing algorithm [25] is a local search method. It is an iterative algorithm, and the hill-climbing algorithm is suitable for finding local optimal values, but it cannot guarantee to find global optimal values outside the search space, especially when there are multiple local optimal values.…”

Section: A Hybrid Algorithm Based On Hill-climbing Algorithm and Gene...mentioning

confidence: 99%

Mobile Edge Computing Task Offloading Strategy Based on Parking Cooperation in the Internet of Vehicles

Shen

Chang

Niu

2022

Sensors

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Due to the limited computing capacity of onboard devices, they can no longer meet a large number of computing requirements. Therefore, mobile edge computing (MEC) provides more computing and storage capabilities for vehicles. Inspired by a large number of roadside parking vehicles, this paper takes the roadside parking vehicles with idle computing resources as the task offloading platform and proposes a mobile edge computing task offloading strategy based on roadside parking cooperation. The resource sharing and mutual utilization among roadside vehicles, roadside units (RSU), and cloud servers (cloud servers) were established, and the collaborative offloading problem of computing tasks was transformed into a constraint problem. The hybrid genetic algorithm (HHGA) with a mountain-climbing operator was used to solve the multi-constraint problem, to reduce the delay and energy consumption of computing tasks. The simulation results show that when the number of tasks is 25, the delay and energy consumption of the HHGA algorithm is improved by 24.1% and 11.9%, respectively, compared with Tradition. When the task size is 1.0 MB, the HHGA algorithm reduces the system overhead by 7.9% compared with Tradition. Therefore, the proposed scheme can effectively reduce the total system cost during task offloading.

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“…Previously described algorithms worked in the power-voltage curve but alternatively, INR employs the power-current to determine the sign of the following perturbation [63]. Differently to INC, the evaluation in this case is through the current change.…”

Section: Incremental Resistancementioning

confidence: 99%

“…For instance, an operative point that is in the left side of the MPP (based on a power-voltage curve), it can switch to the right side due to an irradiation change or likewise for the opposite situation. This effect is known a drift which can be harsh if large step-sizes are used [63]. Nevertheless, Kili et al [66] proposed a modified P&O algorithm to overcome the drift where the mechanics is based on the addition of a new parameter that figures if the power change is produced by intentional (due to algorithm) or by irradiance.…”

Section: Drift-freementioning

confidence: 99%

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Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

et al. 2021

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This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software.

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Experimental Analysis of hill-climbing MPPT algorithms under low irradiance levels

Cited by 134 publications

References 45 publications

A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions

A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions

Mobile Edge Computing Task Offloading Strategy Based on Parking Cooperation in the Internet of Vehicles

Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

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