A Modified Firefly Algorithm with Rapid Response Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions

Huang, Yu-Pei; Ye, Cheng-En; Chen, Xiang

doi:10.3390/en11092284

Cited by 26 publications

(14 citation statements)

References 21 publications

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“…The P-V characteristics of a PV system are nonlinear and are affected by both the ambient temperature and solar irradiance, which in turn reveal distinct MPPs. With the purpose of optimizing the use of PV systems, conventional MPPT algorithms are often used [12].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Rodrigues¹,

Godina

Marzband

et al. 2018

Energies

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The amount of energy generated from a photovoltaic installation depends mainly on two factors—the temperature and solar irradiance. Numerous maximum power point tracking (MPPT) techniques have been developed for photovoltaic systems. The challenge is what method to employ in order to obtain optimum operating points (voltage and current) automatically at the maximum photovoltaic output power in most conditions. This paper is focused on the structural analysis of mathematical models of PV cells with growing levels of complexity. The main objective is to simulate and compare the characteristic current-voltage (I-V) and power-voltage (P-V) curves of equivalent circuits of the ideal PV cell model and, with one and with two diodes, that is, equivalent circuits with five and seven parameters. The contribution of each parameter is analyzed in the particular context of a given model and then generalized through comparison to a more complex model. In this study the numerical simulation of the models is used intensively and extensively. The approach utilized to model the equivalent circuits permits an adequate simulation of the photovoltaic array systems by considering the compromise between the complexity and accuracy. By utilizing the Newton–Raphson method the studied models are then employed through the use of Matlab/Simulink. Finally, this study concludes with an analysis and comparison of the evolution of maximum power observed in the models.

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Section: Introductionmentioning

confidence: 99%

Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Rodrigues¹,

Godina

Marzband

et al. 2018

Energies

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“…A PV source including a non-linear current-voltage I PV -V PV characteristic as shown in Figure 1A can be modeled by a current source, single-diode and resistors connected in series and parallel shown in Figure 1B and output current can be calculated using Kirchhoff 's current law as in Equation (1) (Huang et al, 2018;Norouzzadeh et al, 2019;Yousri et al, 2019;Zhu et al, 2019).…”

Section: Pv Array Characteristicsmentioning

confidence: 99%

Propose a MPPT Algorithm Based on Thevenin Equivalent Circuit for Improving Photovoltaic System Operation

Nguyen

Duong

et al. 2020

Front. Energy Res.

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Smart grids are considered as key solutions to solve current power security issues. Among these suggestions, microgrid is proposed to integrate distributed generations (DGs) such as photovoltaic (PV) system into the network and the control of DGs output power is getting more attention. The output power of PV arrays with nonlinear characteristics is affected by temperature, solar irradiation and load. Various maximum power point tracking (MPPT) methods for photovoltaic (PV) power systems have been considered and developed to maximize the delivered possible power. In this paper, a modelized photovoltaic source is introduced, based on the Thevenin equivalent circuit. An ordinarily employed solar system model is linearized into simple Thevenin source-resistance representation. Next, a control algorithm associated with the relationship between controller's PWM duty cycle of the MPPT boost converter and solar array output power, namely proposed MPPT algorithm, is introduced. This proposed method is compared with an existing popular MPPT algorithm to confirm its superior performance by using the MATLAB/SIMULINK ® simulation. The results show an improvement in the power generation from a PV array in any weather condition, and also help to reduce the impact of rapid change of solar irradiation on the output power variation within the time duration of change. Therefore, the proposed algorithm reduces the effect on grid frequency and motivate the PV generation penetration into the microgrids. Finally, a 50W DC-DC boost converter prototype is implemented and tested to verify the feasibility of the proposed control scheme.

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“…Many alterations were employed in conventional methods, and also numerous optimization algorithms were suggested by the literature such as PSO, genetic algorithm, gray wolf optimization technique, ABC, BA, FA, ALO algorithms, etc. However, all these algorithms also have some major drawbacks, let us say computational complexity, large search space, high cost, and sophisticated control structure and so on …”

Section: Literature Reviewmentioning

confidence: 99%

“…However, all these algorithms also have some major drawbacks, let us say computational complexity, large search space, high cost, and sophisticated control structure and so on. 19 Bentouati et al 20 explained the EHO optimization method used for solving nonconvex optimal power flow problem (OPF). 21 Tuba et al 22 proposed an EHO algorithm for the novel multilevel image thresholding.…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy‐elephant herding optimization technique for maximum power point tracking in the hybrid wind‐solar system

Veeramanikandan¹,

Selvaperumal²

2019

Int Trans Electr Energ Syst

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Summary In recent years, the attention towards the utilization of solar and wind power systems are becoming more popular because of its nonpolluted and nondepleting nature. However, these power sources rely on environmental conditions for power generation. So, extracting maximum power available from the wind and solar systems is essential. Many of the existing maximum power point tracking (MPPT) techniques' performances are not convenient in the hybrid operation of wind and solar power systems. So, to provide an optimum MPPT operation, this paper proposes a fuzzy logic controll er (FLC)–based elephant herding optimization (EHO) technique for MPPT in the hybrid wind‐solar system. The proposed fuzzy‐EHO (FEHO) method has the tendency to track the maximum power under the partial shading condition of the photovoltaic (PV) system and low wind speed situations. The results are compared with the conventional MPPT methods, and it shows that the proposed optimization method efficiently tracks the maximum power point of the wind‐solar power systems even with the variations in the climatic conditions. MATLAB tool is used in the design and operation of the proposed method. Furthermore, the performance of the proposed system is tested with an experimental setup and provides better efficiency.

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A Modified Firefly Algorithm with Rapid Response Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions

Cited by 26 publications

References 21 publications

Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity

Propose a MPPT Algorithm Based on Thevenin Equivalent Circuit for Improving Photovoltaic System Operation

A fuzzy‐elephant herding optimization technique for maximum power point tracking in the hybrid wind‐solar system

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