Simulation and experimental design of a new advanced variable step size Incremental Conductance MPPT algorithm for PV systems

Loukriz, Abdelhamid; Haddadi, M.; Messalti, Sabir

doi:10.1016/j.isatra.2015.08.006

Cited by 198 publications

(108 citation statements)

References 32 publications

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“…In accordance with these requirements, the INC algorithm can be used even if it can fail in some cases [20] and in this study, it will be modified in order to improve its performance. INC algorithm is founded in the fact that slope of P-V characteristic is zero at the MPP [28]. Therefore, this algorithm can be modeled as follows:…”

Section: Problem With the Conventional Inc Algorithmmentioning

confidence: 99%

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Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Motahhir¹,

Ghzizal²,

Sebti³

et al. 2018

International Journal of Photoenergy

125

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The first objective of this work is to determine some of the performance parameters characterizing the behavior of a particular photovoltaic (PV) panels that are not normally provided in the manufacturers' specifications. These provide the basis for developing a simple model for the electrical behavior of the PV panel. Next, using this model, the effects of varying solar irradiation, temperature, series and shunt resistances, and partial shading on the output of the PV panel are presented. In addition, the PV panel model is used to configure a large photovoltaic array. Next, a boost converter for the PV panel is designed. This converter is put between the panel and the load in order to control it by means of a maximum power point tracking (MPPT) controller. The MPPT used is based on incremental conductance (INC), and it is demonstrated here that this technique does not respond accurately when solar irradiation is increased. To investigate this, a modified incremental conductance technique is presented in this paper. It is shown that this system does respond accurately and reduces the steadystate oscillations when solar irradiation is increased. Finally, simulations of the conventional and modified algorithm are compared, and the results show that the modified algorithm provides an accurate response to a sudden increase in solar irradiation.

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Section: Problem With the Conventional Inc Algorithmmentioning

confidence: 99%

“…The flowchart of the INC algorithm is presented in Figure 19 [28]. This algorithm measures the current and voltage of the panel.…”

Section: Problem With the Conventional Inc Algorithmmentioning

confidence: 99%

Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Motahhir¹,

Ghzizal²,

Sebti³

et al. 2018

International Journal of Photoenergy

125

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“…current and voltage feedback methods are relatively simple to implement due to their minimal complex circuits [94]. Hill climbing and P&O methods are designed with simplicity and implementation flexibility, but recent modifications and developments have increased their complexity [95,96]. Mathematical complexities in hill climbing techniques can be reduced by using DSP or other controllers at the expense of increased system cost [97].…”

Section: Implementation Complexitymentioning

confidence: 99%

Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

et al. 2018

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This paper elaborates a comprehensive overview of a photovoltaic (PV) system model, and compares the attributes of various conventional and improved incremental conductance algorithms, perturbation and observation techniques, and other maximum power point tracking (MPPT) algorithms in normal and partial shading conditions. Performance evaluation techniques are discussed on the basis of the dynamic parameters of the PV system. Following a discussion of the MPPT algorithms in each category, a table is drawn to summarize their key specifications. In the performance evaluation section, the appropriate PV module technologies, atmospheric effects on PV panels, design complexity, and number of sensors and internal parameters of the PV system are outlined. In the last phase, a comparative table presents performance-evaluating parameters of MPPT design criterion. This paper is organized in such a way that future researchers and engineers can select an appropriate MPPT scheme without complication.

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“…When (∆I/∆V) is greater than (− I/V), the controller must increase the voltage. Otherwise, the controller must decrease the voltage (Radjai et al 2014;Loukriz et al 2016). Figure 5 shows the flowchart of the INC algorithm.…”

Section: Incremental Conductance Algorithmmentioning

confidence: 99%

Comparison between Kalman filter and incremental conductance algorithm for optimizing photovoltaic energy

Motahhir¹,

Aoune²,

Ghzizal³

et al. 2017

Renewables

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The purpose of this paper is to present a performance comparison between two maximum power point tracking algorithms. These two algorithms are incremental conductance (INC) which is an improved version of the perturb and observe algorithm, and the second algorithm is the Kalman filter applied to a photovoltaic system. In this work, a photovoltaic panel is modeled in PSIM tool; a Boost converter controlled by the maximum power point tracker is put between the PV panel and the load. Then the two algorithms are implemented by using C language and C block provided by PSIM tool. Next, several tests under stable and variable environmental conditions are made for the two algorithms, and results show a better performance of the Kalman filter compared to the INC in terms of response time, efficiency and steady-state oscillations.

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Simulation and experimental design of a new advanced variable step size Incremental Conductance MPPT algorithm for PV systems

Cited by 198 publications

References 32 publications

Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

Comparison between Kalman filter and incremental conductance algorithm for optimizing photovoltaic energy

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