Extraction of the PV modules parameters with MPP estimation using the modified flower algorithm

Benkercha, Rabah; Moulahoum, Samir; Taghezouit, Bilal

doi:10.1016/j.renene.2019.05.107

Cited by 47 publications

(21 citation statements)

References 20 publications

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“…To apply LLSE for Equation (11), follow two simple steps. In the first step, consider linear part only, but in the second step, consider both linear and exponential parts.…”

Section: Single-diode R P Model Of Pv Modulementioning

confidence: 99%

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Parameter extraction of single‐diode photovoltaic module using experimental current–voltage data

Reddy

Yammani

2021

Circuit Theory & Apps

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Accurate modeling of photovoltaic (PV) module allows proper load scheduling and avoids the uncertainties in grid. This paper uses forward-backward linear least square error (FB-LLSE) curve fitting method to estimate the parameters of PV module. The proposed method does not require any data sheet information and initial values of parameters. The proposed method utilizes the experimental data on I-V curve to extract the parameters of PV module. To validate the proposed method, three different PV modules, namely, Mono-crystalline STM6-40/36, Poly-crystalline SMP6-120/36, PWP-201, and one Real Time Clock (R.T.C.) France solar cell has been considered. The obtained results are compared with three existing methods in the literature. The performance of the proposed FB-LLSE method is studied with root mean square error (RMSE), mean absolute error (MAE), normalized root mean square error

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“…To apply LLSE for Equation (11), follow two simple steps. In the first step, consider linear part only, but in the second step, consider both linear and exponential parts.…”

Section: Single-diode R P Model Of Pv Modulementioning

confidence: 99%

“…T A B L E 9 Five parameters of R.T.C. France solar cell Comparative analysis of FB-LLSEM, TSLLSEM,21 FA,11 MPA,12 and HIA15 …”

mentioning

confidence: 99%

Parameter extraction of single‐diode photovoltaic module using experimental current–voltage data

Reddy

Yammani

2021

Circuit Theory & Apps

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“…Benkercha et al [57] proposed a modified flower algorithm (FA) for extraction of the photovoltaic (PV) module parameters with maximum power point (MPP) estimation. The FA [58] is a metaheuristic algorithm that imitates the behavior of a plant's pollination.…”

Section: Optimization Algorithmsmentioning

confidence: 99%

A Novel Path Planning Optimization Algorithm Based on Particle Swarm Optimization for UAVs for Bird Monitoring and Repelling

Mesquita

Gaspar

2021

Processes

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Bird damage to fruit crops causes significant monetary losses to farmers annually. The application of traditional bird repelling methods such as bird cannons and tree netting become inefficient in the long run, requiring high maintenance and reducing mobility. Due to their versatility, Unmanned Aerial Vehicles (UAVs) can be beneficial to solve this problem. However, due to their low battery capacity that equals low flight duration, it is necessary to evolve path planning optimization. A novel path planning optimization algorithm of UAVs based on Particle Swarm Optimization (PSO) is presented in this paper. This path planning optimization algorithm aims to manage the drone’s distance and flight time, applying optimization and randomness techniques to overcome the disadvantages of the traditional systems. The proposed algorithm’s performance was tested in three study cases: two of them in simulation to test the variation of each parameter and one in the field to test the influence on battery management and height influence. All cases were tested in the three possible situations: same incidence rate, different rates, and different rates with no bird damage to fruit crops. The field tests were also essential to understand the algorithm’s behavior of the path planning algorithm in the UAV, showing that there is less efficiency with fewer points of interest, but this does not correlate with the flight time. In addition, there is no association between the maximum horizontal speed and the flight time, which means that the function to calculate the total distance for path planning needs to be adjusted. Thus, the proposed algorithm presents promising results with an outstanding reduced average error in the total distance for the path planning obtained and low execution time, being suited for this and other applications.

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“…Thus, the need for low carbon-based sources of electricity (green energy) such as wind, solar, biomass, etc., is essential in the coming future [5,6]. Among these sources, solar photovoltaic (PV) energy is seen as the best potential candidate due to its availability and cleanliness [7][8][9][10]. Thus, due to this interest, focusing on solar PV energy is prioritized.…”

Section: Introductionmentioning

confidence: 99%

Modified Levy Flight Optimization for a Maximum Power Point Tracking Algorithm under Partial Shading

et al. 2021

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This paper presents a novel modified Levy flight optimization for a photovoltaic PV solar energy system. Conventionally, the Perturb and Observe (P&O) algorithm has been widely deployed in most applications due to its simplicity and ease of implementation. However, P&O suffers from steady-state oscillation and stability, besides its failure in tracking the optimum power under partial shading conditions and fast irradiance changes. Therefore, a modified Levy flight optimization is proposed by incorporating a global search of beta parameters, which can significantly improve the tracking capability in local and global searches compared to the conventional methods. The proposed modified Levy flight optimization is verified with simulations and experiments under uniform, non-uniform, and dynamic conditions. All results prove the advantages of the proposed modified Levy flight optimization in extracting the optimal power with a fast response and high efficiency from the PV arrays.

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Extraction of the PV modules parameters with MPP estimation using the modified flower algorithm

Cited by 47 publications

References 20 publications

Parameter extraction of single‐diode photovoltaic module using experimental current–voltage data

Parameter extraction of single‐diode photovoltaic module using experimental current–voltage data

A Novel Path Planning Optimization Algorithm Based on Particle Swarm Optimization for UAVs for Bird Monitoring and Repelling

Modified Levy Flight Optimization for a Maximum Power Point Tracking Algorithm under Partial Shading

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