Power Tracking and Performance Analysis of Hybrid Perturb–Observe, Particle Swarm Optimization, and Fuzzy Logic-Based Improved MPPT Control for Standalone PV System DOI Creative Commons
Ali E. Abbas, Muhammad Farhan, Muhammad Shahzad

et al.

Technologies, Journal Year: 2025, Volume and Issue: 13(3), P. 112 - 112

Published: March 8, 2025

The increasing energy demand and initiatives to lower carbon emissions have elevated the significance of renewable sources. Photovoltaic (PV) systems are pivotal in converting solar into electricity a significant role sustainable production. Therefore, it is critical implement maximum power point tracking (MPPT) controllers optimize efficiency PV by extracting accessible power. This research investigates performance comparison various MPPT control algorithms for standalone system. Several cases involving individual controllers, as well hybrid combinations using two three been simulated MATLAB/SIMULINK. sensed parameters, i.e., output power, voltage, current, specify that though effectively track point, achieve superior utilizing combined strengths each algorithm. results indicate such perturb observe (P&O), particle swarm optimization (PSO), fuzzy logic (FL), achieved efficiencies 97.6%, 90.3%, 90.1%, respectively. In contrast, dual P&O-PSO, PSO-FL, P&O-FL demonstrated improved performance, with 96.8%, 96.4%, 96.5%, also proposes new triple-MPPT controller combining P&O-PSO-FL, which surpassed both dual-hybrid achieving an impressive 99.5%. Finally, all seven presented, highlighting advantages disadvantages approaches.

Language: Английский

Novel optimized closed-loop fuzzy control for maximum power tracking of proton exchange membrane fuel cell DOI Creative Commons
Nirmalya Mallick, Chandan Kumar Shiva, V. Mukherjee

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104303 - 104303

Published: Feb. 1, 2025

Language: Английский

Citations

0
Power Tracking and Performance Analysis of Hybrid Perturb–Observe, Particle Swarm Optimization, and Fuzzy Logic-Based Improved MPPT Control for Standalone PV System DOI Creative Commons
Ali E. Abbas, Muhammad Farhan, Muhammad Shahzad

et al.

Technologies, Journal Year: 2025, Volume and Issue: 13(3), P. 112 - 112

Published: March 8, 2025

The increasing energy demand and initiatives to lower carbon emissions have elevated the significance of renewable sources. Photovoltaic (PV) systems are pivotal in converting solar into electricity a significant role sustainable production. Therefore, it is critical implement maximum power point tracking (MPPT) controllers optimize efficiency PV by extracting accessible power. This research investigates performance comparison various MPPT control algorithms for standalone system. Several cases involving individual controllers, as well hybrid combinations using two three been simulated MATLAB/SIMULINK. sensed parameters, i.e., output power, voltage, current, specify that though effectively track point, achieve superior utilizing combined strengths each algorithm. results indicate such perturb observe (P&O), particle swarm optimization (PSO), fuzzy logic (FL), achieved efficiencies 97.6%, 90.3%, 90.1%, respectively. In contrast, dual P&O-PSO, PSO-FL, P&O-FL demonstrated improved performance, with 96.8%, 96.4%, 96.5%, also proposes new triple-MPPT controller combining P&O-PSO-FL, which surpassed both dual-hybrid achieving an impressive 99.5%. Finally, all seven presented, highlighting advantages disadvantages approaches.

Language: Английский

Citations

0