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Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, Vol. 62 No. 1, 2021.

Izvorni znanstveni članak

https://doi.org/10.1080/00051144.2020.1834062

A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems

M. Premkumar ; Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, India
C. Kumar ; Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur, India
R. Sowmya ; Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirapalli, India
J. Pradeep ; Rajasthan Rajya Vidyut Prasaran Nigam, Sikar, India

Puni tekst: engleski pdf 7.908 Kb

str. 1-20

preuzimanja: 167

citiraj

Sažetak

The photovoltaic (PV) systems must work at the maximum power point (MPP) to derive the highest possible power with the higher performance during a change in operating conditions. The primary objective is to implement a novel hybrid tracking algorithm to extract the maximum output power from the solar PV panel or array under partial shading conditions (PSCs). This hybrid MPP tracking algorithm is based on the salp swarm algorithm (SSA), which finds the
initial global peak (GP) operating point and is followed by the perturb and observation (P&O) algorithm in the last stage to realize a faster convergence rate. Thus, the computational burden met by the conventional methods such as standalone P&O, hybrid grey-wolf-optimization (HGWO), and hybrid whale-optimization algorithm (HWOA) algorithm reported in the literature is overcome by the proposed hybrid SSA algorithm called HSSA. The P&O algorithm searches the MPP in the projected search space by the SSA algorithm. The proposed hybrid algorithm is simulated using MATLAB/Simulink simulation tool to validate the effectiveness of tracking the MPP. The hybrid SSA is compared with the standalone P&O, hybrid WOA, and hybrid GWO, and from the simulation results, it is proved that the hybrid tracking algorithm exhibits a high tracking performance.

Ključne riječi

GP; hybrid GWO; hybrid WOA; MPP; partial shading condition; P&O; SSA

Hrčak ID:

258409

URI

https://hrcak.srce.hr/258409

Datum izdavanja:

30.3.2021.

Posjeta: 588 *