P&amp;O algorithm based MPPT technique for solar PV system under different weather conditions

Azad, Murari Lal; Das, Soumya; Sadhu, Pradip Kumar; Satpati, Biplab; Gupta, Anagh; Arvind, P.

doi:10.1109/iccpct.2017.8074225

Cited by 51 publications

(15 citation statements)

References 9 publications

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“…Moreover, the data are not publicly available due to privacy. Proposed modified algorithm Max P out = 201 W, Zero power oscillation, =99.9% P&O for charging 12V for 200W PV [8] P out =87.45W, V out =14V, 92.6% Adaptive modified FA for faster MPP [11] Tracking speed = 4.2 s, =99.1% Modified FA under PSC [12] Tracking speed = 5 s, =99.8% P&O MPPT under different conditions [15] Max P out = 17.96W,17.7W at T=45C O ,T=25C O MPPT based PSO under PSC [16] Tracking speed= 0.7 s, Low power Oscillation MPPT based photodiode model [17] Max P out =329W (for 350W-PV), =99.8% Cuckoo search for MPP of PV under PSC [19] Zero…”

Section: Discussionmentioning

confidence: 99%

“…The proposed algorithm achieved an improved tracking efficiency of 98.36% and effectively higher speed in the convergence of 6.4 m seconds compared with traditional techniques. In [15], Perturb and Observe (P&O) algorithm was one of the simplest MPPT techniques to be implemented within various programmable electronic circuits. P&O algorithm was integrated into an efficient system for matching maximum PV power to the load with the highest performance efficiency at different conditions.…”

Section: Related Workmentioning

confidence: 99%

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Maximum power point tracking based on modified firefly scheme for PV system

2022

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Solar photovoltaic (PV) cells play a major role as natural, renewable energy sources. It is characterized by having nonlinear photoelectric voltage and current characteristics. These properties depend on the amount of solar radiation and temperature. PV can be used as an electrical charge circuit. But due to the low efficiency of the resulting photoelectric power, it should operate in conditions of maximum power point. There are several algorithms for achieving this maximum power point condition. In this paper, a PV system is proposed to obtain the maximum power point using a modified firefly algorithm. The modifications have been made both in fireflies’ locations and their random movement. Several simulations are implemented using MATLAB to verify the performance of the proposed system. From the simulation results, the proposed algorithm outperforms all traditional algorithms such as firefly and perturbation and observation technique. Moreover, the impacts of some variants of the proposed technique are studied. The variants are the number of the fireflies, the randomness, the maximum iterations, and the effect of changing the sampling time. A proposed modified firefly is presented with an MPPT controller in the PV system to ensure operating the PV at the MPP. Additionally, the mathematical expressions are explained. Moreover, MATLAB simulation programs are done to compare the performance of the proposed scheme with other related ones.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Maximum power point tracking based on modified firefly scheme for PV system

2022

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“…If both ΔP and ΔV are negative then there is also an increase in the PV array voltage, otherwise, the voltage is decreased. Similarly, the next period is reiterated until the point of maximum power is reached [18][19]. The simulink model of the MPPT P&O algorithm shown in Figure 11 includes the 60W PV array and contains the equations required for its modeling.…”

Section: Perturb and Observe Methods (Pando)mentioning

confidence: 99%

Modeling and simulation of solar PV module for comparison of two MPPT algorithms (P&O & INC) in MATLAB/Simulink

Alhussain

Yasin

2020

IJEECS

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This paper introduces a procedure for the modelling of a PhotoــVoltaic (PV) cell and the application of maximum power point tracking (MPPT) in step-by-step with MATLAB/Simulink. The model of one diode is used to explore the characteristics of IــV and PــV curves of 60W PV module. Due to the non-linear and time varying of PV characteristics, the generated power of the PV is continually varying with atmospheric conditions like temperature and irradiation, the MPPT technology is very important to chase maximum power point (MPP) on the PــV curve to obtain maximum output power from PV array. This study focuses on two common types algorithms of MPPT, namely perturb and observe (P&O) and incremental conductance (INC). A DC--DC boost converter is implemented to regulate the voltage output from the PV array's and for the application of MPPT algorithm.

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“…The techniques of MPPT are used to detect the maximum operating point that is in accordance with the corresponding changes in the working environment. The power converter also plays the crucial part to identifying the MPP of the SPV system [14], [15]. The relationship between voltage and current which are highly non-linear represented by I-V and P-V characteristics of a SPV array.…”

Section: Computational Systemmentioning

confidence: 99%

“…The increase in step size of the perturbation causes the power loss and if step size is huge then MPPT algorithm speedily responds to rapid changes in operating situation. When step size is short then losses during steady or slowly altering situation will be minor but the system will not react quickly to speedy changes in solar radiation and temperature [14], [15].…”

Section: Mppt By Using Pando Algorithmmentioning

confidence: 99%

Critical Assessment of a PV Utility Tied System using P&O MPPT Technique under Dynamic Loaded Conditions

Vaish*,

Bhalla,

Gupta

2019

IJRTE

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This paper discusses the modelling and simulation of a Solar Photovoltaic (SPV) grid integrated system using parallel topology to accomplish load demand. Maximum Power Point Tracking (MPPT) control is employed for the determination of maximum power level under variable solar radiation and ambient temperature levels. Proportional Integral (PI) type voltage and current controllers have been employed for generating a required switching control signal. Under changing environmental conditions, Perturb & Observe (P&O) MPPT algorithm tracks the DC reference signal and controls the current regulator to obtain the maximum power from SPV array. It has been found that MPPT control tracks the maximum DC link voltage around reference value even under dynamic conditions. Voltage and current measurements have been performed at various Point of Common Couplings (PCCs) under changing environmental conditions. Voltage Source Converter (VSC) and utility grid values have also been compared. MATLAB results obtained through two case studies justify the implementation of our proposed system which is beneficial for research engineers working in various power quality assessment studies.

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P&O algorithm based MPPT technique for solar PV system under different weather conditions

Cited by 51 publications

References 9 publications

Maximum power point tracking based on modified firefly scheme for PV system

Maximum power point tracking based on modified firefly scheme for PV system

Modeling and simulation of solar PV module for comparison of two MPPT algorithms (P&O & INC) in MATLAB/Simulink

Critical Assessment of a PV Utility Tied System using P&O MPPT Technique under Dynamic Loaded Conditions

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