Experimental Implementation of Improved P&amp;O MPPT Algorithm based on Fuzzy Logic for Solar Photovoltaic Applications

Fapi, Claude Bertin Nzoundja; Tchakounté, Hyacinthe; Hamida, Mohamed Assaad; Wira, Patrice; Kampel, Martin

doi:10.1109/icsmartgrid58556.2023.10169143

Cited by 3 publications

(3 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1 shows the schematic diagram of five PV modules connected in series under various types of partial shading. The solar PV panel used for this configuration is a Voltec Solar Tarka 60 [29]. Each PV panel generates a maximum voltage of 31.2 Volts and a maximum current of 8.7 Amps.…”

Section: Pv System Characteristics Under Psc 21 Pv System Configurationmentioning

confidence: 99%

See 1 more Smart Citation

Extraction of the Global Maximum Power for PV System under PSC Using an Improved PSO Technique

Nzoundja Fapi,

Tchakounté,

Ndje

et al. 2023

Period. Polytech. Elec. Eng. Comp. Sci.

View full text Add to dashboard Cite

To get the most power out of photovoltaic (PV) panels, PV systems must utilize a maximum power point tracking (MPPT) controller. In partial shading conditions (PSC), the power-voltage (P-V) characteristic of the PV network may show a single global maximum power point (GMPP) and two or more local maximum power points (LMPP). This indicates that the PV cells and panels do not get uniform illumination. As they converge on the maximum power point (MPP) that makes contact first, which is often one of the LMPPs in this scenario, common MPPT approaches like incremental conductance (InC) and perturb and observe (P&O) are unable to distinguish between a GMPP and LMPPs. In this paper, the extraction of the GMPP of the PV system under PSC based on a suggested particle swarm optimization (PSO) approaches is presented. The particularity of the suggested approach is that it takes into account the calculation of the position of each particle as a function of the duty cycle and the global maximum power. Results on the performance of the suggested PSO method show an advantage over the conventional PSO and the commonly used traditional P&O method. The suggested PSO technique offer better performance in terms of global power extracted, ripple rate of the power and efficiency.

show abstract

Section: Pv System Characteristics Under Psc 21 Pv System Configurationmentioning

confidence: 99%

“…where I bus (in Amps) and f s (in Hz) denote the output current and the switch frequency respectively, ∆V bus is the predicted output ripple voltage and V pv min is the minimum input voltage [1,29].…”

Section: Selecting Boost Converter Parametersmentioning

confidence: 99%

Extraction of the Global Maximum Power for PV System under PSC Using an Improved PSO Technique

Nzoundja Fapi,

Tchakounté,

Ndje

et al. 2023

Period. Polytech. Elec. Eng. Comp. Sci.

View full text Add to dashboard Cite

show abstract

“…These algorithms mimic behaviors such as hunting, reproduction, food foraging, and breeding found in plants and animals. There have been many different metaheuristic algorithms proposed in the literature [9,14,[17][18][19][20][21][22]. One of the key benefits of metaheuristic algorithms is their exploratory nature, which enables them to cover the whole search space and locate the best answer while avoiding local peaks.…”

Section: Introductionmentioning

confidence: 99%

Fast Tracking of Maximum Power in a Shaded Photovoltaic System Using Ali Baba and the Forty Thieves (AFT) Algorithm

Rehman,

Sajid,

et al. 2023

Processes

View full text Add to dashboard Cite

Photovoltaic (PV) generation systems that are partially shaded have a non-linear operating curve that is highly dependent on temperature and irradiance conditions. Shading from surrounding objects like clouds, trees, and buildings creates partial shading conditions (PSC) that can cause hot spot formation on PV panels. To prevent this, bypass diodes are installed in parallel across each panel, resulting in a global maximum power point (GMPP) and multiple local maximum power points (LMPPs) on the power-voltage (P-V) curve. Traditional methods for maximum power point tracking (MPPT), such as perturb and observe (P&O) and incremental conductance (INC), converge for LMPPs on the P-V curve, but metaheuristic algorithms can track the GMPP effectively. This paper proposes a new, efficient, and robust GMPP tracking technique based on a nature-inspired algorithm called Ali Baba and the Forty Thieves (AFT). Utilizing the AFT algorithm for MPPT in PV systems has several novel features and advantages, including its adaptability, exploration-exploitation balance, simplicity, efficiency, and innovative approach. These characteristics make AFT a promising choice for enhancing the efficiency of PV systems under varied circumstances. The performance of the proposed method in tracking the GMPP is evaluated using a simulation model under MATLAB/Simulink environment, the achieved simulation results are compared to particle swarm optimization (PSO). The proposed method is also tested in real-time using the Hardware-in-the-loop (HIL) emulator to validate the achieved simulation results. The findings indicate that the proposed AFT-based GMPP tracking method performs better under complex partial irradiance conditions than PSO.

show abstract

High Voltage Gain DC-DC Converter based Maximum Power Tracking from Photovoltaic Systems for Heat-Pump Applications

Nzoundja Fapi,

Lamine Touré,

Camara

et al. 2024

2024 12th International Conference on Smart Grid (icSmartGrid)

View full text Add to dashboard Cite

Experimental Implementation of Improved P&O MPPT Algorithm based on Fuzzy Logic for Solar Photovoltaic Applications

Cited by 3 publications

References 38 publications

Extraction of the Global Maximum Power for PV System under PSC Using an Improved PSO Technique

Extraction of the Global Maximum Power for PV System under PSC Using an Improved PSO Technique

Fast Tracking of Maximum Power in a Shaded Photovoltaic System Using Ali Baba and the Forty Thieves (AFT) Algorithm

High Voltage Gain DC-DC Converter based Maximum Power Tracking from Photovoltaic Systems for Heat-Pump Applications

Contact Info

Product

Resources

About