Improving the performance of MPPT in PV systems by modified Perturb-and-Observe algorithm

Özçelik, Mehmet Ali; Yılmaz, Ahmet Serdar

doi:10.7603/s40632-015-0024-5

Cited by 8 publications

(5 citation statements)

References 20 publications

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“…The use of a power electronic switching converter, between the solar photovoltaic string and the load, will effectively regulate the PV panel's internal resistance according to climatic conditions, allowing the panel to run at near the maximum operating point. Many authors [5] have employed a variety of MPPT algorithms based on swarm intelli- The use of a power electronic switching converter, between the solar photovoltaic string and the load, will effectively regulate the PV panel's internal resistance according to climatic conditions, allowing the panel to run at near the maximum operating point. Many authors [5] have employed a variety of MPPT algorithms based on swarm intelligence to change the load's driving point when modifying the duty ratio of a DC-DC type boost converter.…”

Section: Partial Shading Conditions In Photovoltaic Power Systemsmentioning

confidence: 99%

“…Many authors [5] have employed a variety of MPPT algorithms based on swarm intelli- The use of a power electronic switching converter, between the solar photovoltaic string and the load, will effectively regulate the PV panel's internal resistance according to climatic conditions, allowing the panel to run at near the maximum operating point. Many authors [5] have employed a variety of MPPT algorithms based on swarm intelligence to change the load's driving point when modifying the duty ratio of a DC-DC type boost converter. By changing the switching signals (duty cycle) of the power electronic converter, the output voltage can be changed from the minimum value to the maximum value of the converter rating.…”

Section: Partial Shading Conditions In Photovoltaic Power Systemsmentioning

confidence: 99%

“…PSO can solve optimization problems that are uneven and loud. The PSO technique is characterized using the following two Equations ( 4) and (5).…”

Section: Extraction Of Gmpp Using Particle Swarm Optimization Techniquementioning

confidence: 99%

“…The problem-solving methods considered in their work are AI (Artificial Intelligence), Neural Networks, and Fuzzy Logic, while the swarm intelligence algorithms are Ant Colony Optimization (ACO) and (PSO). Mehmet Ali OZ Celik [5] implemented an advanced perturb and observe (P and O) algorithm to improve the tracking speed and acquire more power from the solar energy conversion system in various irradiation cases. Chao et al [6] presented a modified particle swarm optimization algorithm to harness maximum power from PV power systems under the shading effect.…”

Section: Introductionmentioning

confidence: 99%

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Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique

Nagadurga

Narasimham²,

Vakula

2021

Sustainability

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The power versus voltage curves of solar photovoltaic panels form several peaks under fractional (partial) shading conditions. Traditional maximum output power tracking (MPPT) techniques fail to achieve global peak power at the output terminals. The proposed Cat Swarm Optimization (CSO) method intends to apply MPPT techniques to extract the global maxima from the shaded photovoltaic systems. CSO is a robust and powerful metaheuristic swarm-based optimization technique that has received very positive feedback since its emergence. It has been used to solve a variety of optimization issues, and several variations have been developed. The CSO-based maximum power tracking technique can successfully tackle two major issues of the PV system during shading conditions, including random oscillations caused by conventional tracking techniques and power loss. The proposed techniques have been extensively used in comparison to conventional algorithms like the Perturb and the Observe (P and O) technique. The main objective is to achieve a tracking speed for extracting the Maximum Power Point (MPP) from the solar Photovoltaic (PV) system under fractional shading conditions by using CSO. Modeling of the solar photovoltaic array in the MATLAB/Simulink platform comprises a photovoltaic module, a switching converter (Boost Converter), and the load. The PSO and CSO techniques are applied to the PV module under different weather conditions. The PSO algorithm is compared to the CSO algorithm according to simulation results, revealing that the CSO algorithm can provide better accuracy and a faster tracking speed.

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Section: Partial Shading Conditions In Photovoltaic Power Systemsmentioning

confidence: 99%

Section: Partial Shading Conditions In Photovoltaic Power Systemsmentioning

confidence: 99%

“…PSO can solve optimization problems that are uneven and loud. The PSO technique is characterized using the following two Equations ( 4) and (5).…”

Section: Extraction Of Gmpp Using Particle Swarm Optimization Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique

Nagadurga

Narasimham²,

Vakula

2021

Sustainability

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“…A self driven current doubler (CD) using a new topology called phase shifted full bridge converter (PSFB) for the application of integrated magnetic (IM) with dc-to-dc converter (Cetin Sevilay, 2014). The dc to dc chopper converters are used for various applications like magnetic levitation, motor control, renewable energy resources like solar photovoltaic cells (Özçelik, Mehmet Ali. (2015)), wind generators (Ahmed, Mahrous et.al., 2021) and fuel cells (Alharbi, Ahmed Awadh et.al., 2020;and Al-Othman et.al., 2016).…”

Section: Introductionmentioning

confidence: 99%

Torque Ripple Reduction of a Brushless Dc Motor Using Y-Source Converter

Rao¹,

D.V.N.²

2021

JER is an international, peer-reviewed journal that publishes f

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The brushless DC motor (BLDC) is a low cost, reliable and efficient motor for low power applications. In general, the speed, torque and current of the BLDC motor are controlled using a well tuned PI controller in the inner and outer control loops. This controller will be effective in reducing the dynamic speed error, but will produce large current ripples. This reference current when given to the inner control loop and controlled using hall-effect position sensing technique, leads to comparatively large ripples in the torque. Because of large dynamic behavior of dc link voltage when nominal rating capacitor is used, there will be torque ripples and reduction in rotor speed from the reference current value. Hence, to mitigate this torque ripples in BLDC motor a fast acting adjustable dc link voltage like chopper is generally used. The effective dc link voltage control with voltage boosting and controlling action is observed with Y-source converter and is compared with a Z-source converter in this paper. The Y-source converter is designed in such a way that, it will effectively control the speed and also produces lesser current ripples reference. Further, the inverter topology uses a six switch basic configuration but with a new switching strategy. The results are compared with a Z-source converter with the proposed Y-source converter under variable load torque and variable speed cases in MATLAB/ SIMULINK environment. It is found that, the torque ripples are reduced effectively without much change in the reference speed. Also, even at higher rotor speeds, the torque ripples and surges are also lesser.

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Study of multi-objective photovoltaic grid connected system using SOGI-FLL and NL-SOGI-FLL-APF based DQ hysteresis method

Shah¹,

Kotwal²,

Giri³

et al. 2023

Electr Eng

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Improving the performance of MPPT in PV systems by modified Perturb-and-Observe algorithm

Cited by 8 publications

References 20 publications

Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique

Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique

Torque Ripple Reduction of a Brushless Dc Motor Using Y-Source Converter

Study of multi-objective photovoltaic grid connected system using SOGI-FLL and NL-SOGI-FLL-APF based DQ hysteresis method

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