Photovoltaic system modeling with fuzzy logic based incrimental conductance tracking algorithm

Cazac, Vadim; Nuca, Ilie

doi:10.1109/mps.2017.7974423

Cited by 3 publications

(5 citation statements)

References 5 publications

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“…Figure 4 shows the variables' membership functions. In the literature, some authors prefer to implement the FLC using five linguistic variables [26,27] or seven linguistic variables [28,29]. The difference between them is not significant, so in this paper, the implementation of the FLC will be made using five linguistic variables as in [2,21,[30][31][32].…”

Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

PV Systems Control Using Fuzzy Logic Controller Employing Dynamic Safety Margin under Normal and Partial Shading Conditions

et al. 2021

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Because of the unpredictable activity of solar energy sources, photovoltaic (PV) maximum power point tracking (MPPT) is essential to guarantee the continuous operation of electrical energy generation at optimal power levels. Several works have extensively examined the generation of the maximum power from the PV systems under normal and shading conditions. The fuzzy logic control (FLC) method is one of the effective MPPT techniques, but it needs to be adapted to work in partial shading conditions. The current paper presents the FLC-based on dynamic safety margin (DSM) as an MPPT technique for a PV system to overcome the limitations of FLC in shading conditions. The DSM is a performance index that measures the system state deviation from the normal situation. As a performance index, DSM is used to adapt the FLC controller output to rapidly reach the global maxima of the PV system. The ability of the proposed algorithm and its performance are evaluated using simulation and practical implementation results for single phase grid-connected PV system under normal and partial shading operating conditions.

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Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

PV Systems Control Using Fuzzy Logic Controller Employing Dynamic Safety Margin under Normal and Partial Shading Conditions

et al. 2021

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“…The converter contains an inductor, capacitor and a power switch (MOSFET or IGBT) controlled by an MPPT algorithm. According to the measured current and voltage at the PVG output side, the MPPT's control varies the duty cycle of the DC-DC converter to track the MPP, as well as to successfully limit the high current and voltage ripples for obtaining high-quality in the distributed power [18]. Consequently, the well-designed DC-DC boost converter is essential for achieving this goal.…”

Section: Boost Converter Parameters Designmentioning

confidence: 99%

“…Moreover, Hybrid FL-P&O MPPT suffers from slow response time, which causes significant power loss under fast variations of irradiance. Hybrid MPPTs based on InCondand FLC to track the MPP are proposed in [18][19][20]. The evaluation of these MPPTs depends on the type of membership functions, the number of fuzzy rules, and the tracking performance under different operating conditions.…”

Section: Introductionmentioning

confidence: 99%

“…The evaluation of these MPPTs depends on the type of membership functions, the number of fuzzy rules, and the tracking performance under different operating conditions. A hybrid InCond-FLC control technique is proposed in [18]. The ratio of derivative power and voltage, as well as the variation of this ratio are calculated and employed as the FLC inputs.…”

Section: Introductionmentioning

confidence: 99%

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Grid connected photovoltaic system efficiency and quality improvement using fuzzy-incond MPPT

Amara

Bradai

Boukenoui

et al. 2020

IJPEDS

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Maximum Power Point Tracking (MPPT) techniques are developed to harvest and supply maximum power to the load. This depends on the power generated and the MPPT accuracy. Under quick-changing weather conditions, Incremental Conductance (InCond) and numerous different algorithms may fail to track the exact Maximum Power Point (MPP) which may result in significant power loss. Fuzzy Logic (FL) based MPPT is quick and accurate in tracking the MPP, but the high complexity and the implementation difficulty are their main disadvantages. A novel FL-InCond MPPT improved technique is developed based on the features of InCond and FL techniques to overcome their drawbacks.The newly developed approach can automatically adjust the variation of the duty cycle for tracking the MPP with accuracy. The obtained results are compared with conventional Perturb and observe (P&O) and InCond MPPTs for grid-connected mode under fast weather conditions. It is demonstrated that the developed method outperforms the aforementioned MPPT techniques in terms of tracking response, efficiency and the delivered current quality.

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“…MPPT techniques were used to run the PV modules on the maximum power, which were classified as (1) conventional methods (2) soft computing methods. The conventional MPPT methods include the P&O [3][4][5][6], incremental conductance [7][8][9][10], fractional short circuit current [11,12] and the fractional open circuit voltage [13,14]. These conventional MPPT processes were very effective under uniform and steady environmental conditions.…”

Section: Introductionmentioning

confidence: 99%

Optimal extraction of photovoltaic energy using fuzzy logic control for maximum power point tracking technique

Chalok

Tajuddin

Babu

et al. 2020

IJPEDS

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In photovoltaic (PV) systems, maximum power point tracking (MPPT) techniques are used to track the maximum power from the PV array under the change in irradiance and temperature conditions. The perturb and observe (P&O) is one of the most widely used MPPT techniques in recent times due to its simple implementation and improved performance. However, the P&O has limitations such as oscillation around the MPP during which time the P&O algorithm will become confused due to rapidly changing atmospheric conditions. To overcome the above limitation, this paper uses the fuzzy logic controller (FLC) to track the maximum power from the PV system under different irradiance, integrates it with a DC-DC boost converter as a tracker. The result of the FLC performance is compared with the traditional P&O method and shows the MPPT algorithm based on FLC ensures continuous tracking of the maximum power within a short period compared with the traditional P&O method. Besides that, the proposed method (FLC) has a faster dynamic response and low oscillations at the operating point around the MPP under steady-state conditions and dynamic change in irradiance.

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Photovoltaic system modeling with fuzzy logic based incrimental conductance tracking algorithm

Cited by 3 publications

References 5 publications

PV Systems Control Using Fuzzy Logic Controller Employing Dynamic Safety Margin under Normal and Partial Shading Conditions

PV Systems Control Using Fuzzy Logic Controller Employing Dynamic Safety Margin under Normal and Partial Shading Conditions

Grid connected photovoltaic system efficiency and quality improvement using fuzzy-incond MPPT

Optimal extraction of photovoltaic energy using fuzzy logic control for maximum power point tracking technique

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