Analysis and Optimization of Fuzzy Logic Based MPPT for Grid Connected Photovoltaic System

Authors

Keywords:

Power management

Abstract

Solar is one of the most important renewable energy sources that consistently operates with clean, sustainable, and ecologically beneficial operations in the photovoltaic power producing station. Additionally, due to the nature of photovoltaic power, the fluctuating trend in PV system output energy reduces their dependability in terms of supplying consumers with uninterrupted energy. A significant benefit of photovoltaic (PV) structures is their capacity to harness the immense and unpredictable power of the sun. Strong sunlight environments have accelerated PV science, which is now present in high-efficiency regions and regions with frequent cloud cover. A modeling approach for renewable grid-connected microgrids is presented in this research. Under gloomy or foggy situations, the long rambling factor makes up the majority of solar insolation. This work simulates a PV system using MATLAB and uses a fuzzy method to monitor the component that consumes the most energy. The findings of the fuzzy Logic version were improved for validation, and they were also contrasted with those from other methods like perturb and observe (P&O) and proportional integral differential (PID).

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Karami, N.; Moubayed, N.; Outbib, R. General review and classification of different MPPT Techniques.Renew. Sustain. Energy Rev. 2017, 68, 1–18.

Mohapatra, A.; Nayak, B.; Das, P.; Mohanty, K.B. A review on MPPT techniques of PV system under partial shading condition. Renew. Sustain. Energy Rev. 2017, 80, 854–867.

S. M. Salam, M. I. Uddin and M. R. Bin Moinuddin, "Impact Analysis of Large Number of Non-Linear Lighting Loads on Power Quality in Distribution Network," 2019 4th International Conference on Electrical Information and Communication Technology (EICT), 2019, pp. 1-5, doi: 10.1109/EICT48899.2019.9068811.

Bianconi, E.; Calvente, J.; Giral, R.; Mamarelis, E.; Petrone, G.; Ramos, C.A.; Spagnuolo, G.; Vitelli, M. Perturb and Observe MPPT algorithm with a current controller based on the sliding mode. Int. J. Electr. Power 2013, 44, 346–356.

Chen, M.; Ma, S.; Wu, J.; Huang, L. Analysis of MPPT Failure and Development of an Augmented Nonlinear Controller for MPPT of Photovoltaic Systems under Partial Shading Conditions. Appl. Sci. 2017, 7, 95.

Kwan, T.H.;Wu, X. High performance P&O based lock-on mechanism MPPT algorithm with smooth tracking. Sol. Energy 2017, 155, 816–828.

Alik, R.; Jusoh, A. Modified Perturb and Observe (P&O) with checking algorithm under various solar irradiation. Sol. Energy 2017, 148, 128–139.

S. M. Salam and N. Mohammad, "Load Flow Analysis of a Six Bus System for a Bulk Scale Replacement of Conventional Lighting Loads in a Distributed Network," 2020 IEEE Region 10 Symposium (TENSYMP), 2020, pp. 831-834, doi: 10.1109/TENSYMP50017.2020.9230818.

Cortajarena, J.A.; Barambones, O.; Alkorta, P.; De Marcos, J. Sliding mode control of grid-tied single-phase inverter in a photovoltaic MPPT application. Sol. Energy 2017, 155, 793–804.

Tobón, A.; Peláez-Restrepo, J.; Villegas-Ceballos, J.P.; Serna-Garcés, S.I.; Herrera, J.; Ibeas, A. Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods. Energies 2017, 10, 1316.

Loukriz, A.; Haddadi, M.; Messalti, S. Simulation and experimental design of a new advanced variable step size Incremental Conductance MPPT algorithm for PV systems. ISA Trans. 2016, 62, 30–38.

S. M. Salam, M. J. Uddin and S. Hannan, "A new approach to develop a template based load model that can dynamically adopt different types of non-linear loads," 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2017, pp. 708-712, doi: 10.1109/ECACE.2017.7912996.

Hassan, S.Z.; Li, H.; Kamal, T.; Arifo˘ glu, U.; Mumtaz, S.; Khan, L. Neuro-Fuzzy Wavelet Based Adaptive MPPT Algorithm for Photovoltaic Systems. Energies 2017, 10, 394.

Nabipour, M.; Razaz, M.; Seifossadat, S.; Mortazavi, S. A new MPPT scheme based on a novel fuzzy approach.Renew. Sustain. Energy Rev. 2017, 74, 1147–1169.

Majid Dehghani, Mohammad Taghipour, Gevork B. Gharehpetian, and Mehrdad Abedi; Optimized Fuzzy Controller for MPPT of Grid-connected PV Systems in Rapidly Changing Atmospheric Conditions; Journal of modern power systems and clean energy, vol. 9, no. 2, March 2021

Downloads

Published

2022-10-03

How to Cite

Mmzr Alazmi, A., Salam, S. M., & Mahbubur Rashid, M. (2022). Analysis and Optimization of Fuzzy Logic Based MPPT for Grid Connected Photovoltaic System. Asian Journal of Electrical and Electronic Engineering, 2(2), 28–37. Retrieved from https://alambiblio.com/ojs/index.php/ajoeee/article/view/36

Issue

Section

Articles