Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 13, Issue 3, Pages 1756-1770Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2022.3174614
Keywords
Global maximum power point tracking (GMPPT); photovoltaic (PV) energy; partial shading condition (PSC); power incremental algorithm; reference voltage line
Categories
Funding
- National Natural Science Foundation of China [52177195]
- Research Development Fund of XJTLU [RDF-16-01-10, RDF16-02-31, RDF-17-01-28]
- Research Enhancement Fund of XJTLU [REF-17-01-02]
- Suzhou Prospective Application Programme [SYG202016]
- XJTLUKey Programme Special Fund [KSF-A-08, KSF-E-13, KSF-E-65, KSF-T-04]
Ask authors/readers for more resources
This paper proposes a novel power incremental algorithm for photovoltaic global maximum power point tracking (GMPPT) and partial shading detection. The algorithm utilizes the reference voltage line and power incremental method to track the global maximum power point quickly and accurately. Experimental results show that the proposed algorithm outperforms other popular GMPPT methods in terms of tracking time.
Conventional global maximum power point tracking (GMPPT) algorithms show limited tracking speed and accuracy due to the unnecessary peak search considering the complexity of partial shading conditions (PSCs). This paper proposes a novel power incremental (PI) algorithm for photovoltaic GMPPT and partial shading detection with the aid of the reference voltage line (RVL), representing the voltage of possible peaks based on the derived analytical expressions. The proposed analytical solution can detect the occurrence of PSCs easily and never overlook GMPP. Furthermore, both the tracking speed and the efficiency can be improved due to the quick allocation of GMPP and the reduced search area. The proposed RVL-PI-GMPPT algorithm is straightforward without sophisticated searching iterations, which can reduce the computational burden. Combined with the low-cost feature without additional temperature or irradiance sensors, the proposed algorithm is very suitable for the practical engineering design. Both the simulations and experiments under various PSC patterns validated the effectiveness of the proposed algorithm. Conducted fair comparisons with other popular GMPPT methods, the average percentage change of tracking time by implementing the proposed RVL-PI-GMPPT algorithm under three-peaks PSC patterns is 108.9% compared with the PSO method and 209.9% compared with the 0.8V(oc) model method, respectively.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available