Adaptive Perturb &amp; Observe MPPT for PV System with Experimental Validation

Mohapatra, Alivarani; Nayak, Byamakesh; Saiprakash, Chidurala

doi:10.1109/icsets.2019.8744819

Cited by 46 publications

(19 citation statements)

References 16 publications

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“…It receives the solar energy directly from the sunlight and converted to the electrical energy. Therefore, how to make PV cells work at MPP is one of the core technologies to improve work efficiency (Karanjkar et al, 2014;Mohapatra et al, 2019).…”

Section: Mathematic Modeling Of the Photovoltaic Systemmentioning

confidence: 99%

Sliding mode control of SEPIC converter based photovoltaic system

Zhang

Zhong

2021

Systems Science & Control Engineering

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Photovoltaic (PV) energy can be considered to be as highly efficient energy source since it is ecofriendly, harmless and available endlessly. In order to improve the output power of photovoltaic cells, the maximum power point tracking technology is used in PV systems. This paper designs a sliding mode controller based on SEPIC converter to implement MPPT. The difference from other methods is that the proposed method uses the circuit output voltage U 0 in the closed-loop system, so that the controller has better control effect. The buck-boost feature of the SEPIC widens the applicable PV voltage and thus increases the adopted PV module flexibility. First, the photovoltaic array is modeled and the simulation results are analyzed in this paper. Then model and analyze the SEPIC circuit and derive a sliding mode control strategy based on this circuit. Finally, the results obtained in MATLAB/Simulink were compared with the conventional P&O algorithm and INC algorithm. The results show that the sliding mode controller proposed in this paper has faster speed and less oscillation when tracking the maximum power point (MPP).

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Section: Mathematic Modeling Of the Photovoltaic Systemmentioning

confidence: 99%

Sliding mode control of SEPIC converter based photovoltaic system

Zhang

Zhong

2021

Systems Science & Control Engineering

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“…After replacing parameters, given in Table 1, in Eqs. (6) and (7), the unknown parameters are calculated:…”

Section: Vocmentioning

confidence: 99%

“…In fact, the Perturb and Observe (P&O) [4] and Incremental conductance (IC) [5] are the most used because they are easy to implement and don't require high memory space. However, their major drawback is the speed-accuracy dilemma [6,7].…”

Section: Introductionmentioning

confidence: 99%

High Gain Observer-Based Control for Grid-Connected PV System Under Partial Shading Effect

Mokhlis¹,

Ferfra²,

idrissi³

2020

IJIES

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This paper proposes the new high-gain observer dedicated to the SEPIC converter and the single-phase inverter. The high-gain observer is designed in order to minimize the number of sensors required, because the use of voltage and current sensors have many disadvantages. In fact, these sensors can obtain a bulky system, also, they are expensive and take up more place. Also, this paper proposes new controller able to locate and track the global maximum power point under the partial shading effect. Actually, when the partial shading occurs, the Power-Voltage curve presents more than one maximum power point, which are divided between the global maximum and the local maximums. The global maximum presents the superior one, while the local maximums present the inferior ones. The classical methods like Perturb and Observe and Incremental Conductance are no longer able to distinguish the global maximum point. So, they cause a high drop of power, which justifies the need of a controller that can solve such problems. Effectively, the proposed controller is designed for this purpose, it consists of an algorithm able to locate the global maximum power point and generate the reference input of corresponding voltage. Also, this controller consists of the sliding mode controller that is able to track the reference input by acting on the SEPIC converter's duty cycle. In addition, the SEPIC converter is connected to the grid through the single-phase inverter. However, to make this connection, it should unify the power factor and synchronize the inverter current with the grid voltage. Effectively, these two tasks are solved by designing the sliding mode controller that acts on the inverter duty-cycle to allow its current to be in the same shape and phase as the grid voltage. Also, the DC bus voltage is regulated by using the PI controller. The overall system is modelled mathematically, tested and validated under Matlab/Simulink environment to show the criteria's performances and efficiency improvement of PV panel by using the proposed Global Maximum Power Point Tracking controller. Moreover, the proposed controller is compared with the hybrid controllers: P&Osliding mode, IC-sliding mode and PSO-Backstepping controllers. The results illustrate the performance of the proposed controlled to distinguish and track rapidly (about 40ms depending on the shading pattern), and accurately the desired global maximum power point.

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“…Rigorous review of MPPT algorithms reveals that these can be broadly divided into (a) conventional and (b) soft computing techniques. Among the conventional MPPT algorithms, the most preferred methods are perturb and observe (P&O) [9] and incremental conductance (IC) [10]. Thakran, Singh, Garg and Mahajan [11] implemented P&O algorithm where MPPT analysis has been carried out with two different approaches depending on whether perturbations are caused in voltage or duty cycle.…”

Section: Introductionmentioning

confidence: 99%

Enhanced model based algorithm to reinforce PV system with dynamic MPPT capability

Ehtesham

2021

IJAAS

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<p>Photovoltaic (PV) power has emerged as the most attractive resource in form of a clean and green energy. However, one major challenge associated with PV interfacing is its intermittent output characteristic which varies dramatically with the operating conditions. Thus designing an effective maximum power point tracking (MPPT) algorithm is a key aspect for optimizing PV system performance. Numerous MPPT algorithms have been proposed earlier having their own specific advantages. However, these are found to have two major limitations which have to be essentially addressed. Firstly, they become ineffective in the dynamic conditions where there is rapid change in environmental parameters like insolation and temperature. Secondly, they fail to discriminate between global and local peaks under partial shading conditions. Therefore, to achieve a reliable and efficient system operation, this paper presents an enhanced model-based (MB) algorithm that overcomes both these deficiencies. Based on new governing equations and precised estimation technique, it predetermines the MPP analytically. First simulated results are obtained where it is tested for dynamic variations of all the three parameters. Then the experimental validation is carried out on a 2 KW installed panel where real time data is recorded through CR1000 data logger and environmental parameters are sensed with elements like pyranometer and humidity sensor. A large number of experimental results are obtained for tracked MPP in the dynamic conditions, which are then summarized in tabular forms. These are finally plotted and compared with simulated results to illustrate the effectiveness of proposed MB algorithm.</p>

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Adaptive Perturb & Observe MPPT for PV System with Experimental Validation

Cited by 46 publications

References 16 publications

Sliding mode control of SEPIC converter based photovoltaic system

Sliding mode control of SEPIC converter based photovoltaic system

High Gain Observer-Based Control for Grid-Connected PV System Under Partial Shading Effect

Enhanced model based algorithm to reinforce PV system with dynamic MPPT capability

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