Stability Analysis and Design of Variable Step-Size P&O Algorithm Based on Fuzzy Robust Tracking of MPPT for Standalone/Grid Connected Power System
Daud Sibtain,
Muhammad Majid Gulzar,
Kamal Shahid,
Imran Javed,
Sadia Murawwat and
Muhammad Majid Hussain
Additional contact information
Daud Sibtain: Department of Electrical Engineering, University of Central Punjab, Lahore 54000, Pakistan
Muhammad Majid Gulzar: Department of Electrical Engineering, University of Central Punjab, Lahore 54000, Pakistan
Kamal Shahid: Institute of Electrical, Electronics and Computer Engineering, University of the Punjab, Lahore 54590, Pakistan
Imran Javed: Department of Electrical Engineering, Narowal Campus, University of Engineering and Technology Lahore, Narowal 39161, Pakistan
Sadia Murawwat: Department of Electrical Engineering, Lahore College for Women University, Lahore 54000, Pakistan
Muhammad Majid Hussain: Department of Electrical and Electronic Engineering, University of South Wales, Pontypridd CF37 1DL, UK
Sustainability, 2022, vol. 14, issue 15, 1-17
Abstract:
This research aims to design a modified P&O algorithm for the efficient tracking of maximum power point (MPPT) for standalone and grid-connected systems. The proposed research work modifies the P&O algorithm for the dc-dc converter where the fixed step size P&O algorithm is translated into variable step size with the help of ant colony optimization (ACO) to generate optimal parameters for the PID controller to generate a variable step size in the P&O algorithm. This variable step size is dependent upon the error that is the difference between the generated power and desired power. By doing this it improves the efficiency of the P&O algorithm and its limitations are overcome. Furthermore, the PV is extended to connect with a grid where the inverter is controlled by a fuzzy logic controller (FLC) so that the combined structure of variable P&O and fuzzy helps to achieve MPP efficiently. The robustness of the proposed work is compared with other state-of-the-art controllers to justify the effectiveness of the proposed work. Finally, a stability test of the system is carried out to verify the overall stability of the power system.
Keywords: perturbation and observation; maximum power point tracking; fuzzy logic controller; variable step size (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:15:p:8986-:d:868935
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