Systematic Literature Review and Benchmarking for Photovoltaic MPPT Techniques

• DOI: 10.3390/en16083509
• Publication Date: 2023-04-18T09:18:13Z
• Authors: Hsen Abidi; Lilia Sidhom; Ines Chihi
• Keywords: Benchmarking; Benchmark (surveying)

There are a variety of maximum power point tracking (MPPT) algorithms for improving the energy efficiency solar photovoltaic (PV) systems. The mode implementation (digital or analog), design simplicity, sensor requirements, convergence speed, range efficacy, and hardware costs primary distinctions between these algorithms. Selecting an appropriate algorithm is critical users, as it influences electrical PV systems lowers by reducing number panels required to achieve desired output. This research relevant since alternative sustainable solution production. main aim this paper review current advances in MPPT first undertakes systematic literature (SLR) various algorithms, highlighting their strengths weaknesses; detailed summary related reviews on topic then presented. Next, quantitative qualitative comparisons most popular efficient methods performed. comparison based simulation results provide benchmarking validates that intelligent MPPTs, such artificial neural network (ANN), fuzzy logic control (FLC), adaptive neuro-fuzzy inference system (ANFIS), outperform other approaches Specifically, ANN technique had highest 98.6%, while ANFIS FLC were close behind with efficiencies 98.34% 98.29%, respectively. Therefore, recommended techniques be considered use future optimal output maximize