Application of Bio-Inspired MPPT Techniques for Photovoltaic System

Patra, Jagadish Kumar; Mohanty, Soumya; Tania, H.M.; Elangovan, D.; Arunkumar, G.

doi:10.1007/978-981-10-1540-3_36

Cited by 2 publications

(1 citation statement)

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“…The conventional MPPT techniques such as Perturb and Observe (P&O) [5]- [6], Incremental conductance (INC) [7]- [8], Fractional Open Circuit Voltage (FOV) [9], Short-Circuit Current Control (SCCC) [10] are the most widely used techniques due to its simplicity and ease of implementation. Other types of MPPT algorithms, including Artificial Intelligence (AI) [11], Fuzzy Logic (FL) [12]- [13], and Bio-Inspired (BI) [14] algorithms are also available in literature, which fall under the category of non-conventional MPPT algorithms. Biologically inspired algorithms have been used in recent years as the key techniques to get the best solutions to real engineering design optimization problems.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of Swarm Optimization Algorithms for MPPT Control of PV Systems under Partially Shaded Conditions

Pilakkat¹,

Kanthalakshmi²,

Navaneethan³

2020

ELS

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Nowadays many researchers have been investigating on different photovoltaic (PV) modeling methods, various configurations of arrays, numerous algorithms, converter topologies etc to improve the efficiency of solar system. Improving the efficiency of solar panel by utilizing the correct maximum power point tracking (MPPT) control has become more important for conceiving the solar power reasonably. For designing an efficient PV system, an appropriate literature review is necessary for all the researchers. In this paper, a compendious study of different Swarm Intelligence (SI) based MPPT algorithms for PV systems feasible under partially shaded conditions are presented. SI algorithms use motivation from the foraging nature of animals and insects. In the last few decades, SI has gained tremendous attention as it has been proven as an efficient control technique for global optimization problems.

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