An Advanced MPPT Algorithm for PV Systems to Track GMPP under PSC Condition

A. Sireesha*, B. Mahesh Babu**, K. Ravindra***
*-** Department of Electrical and Electronics Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India.
*** Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.
Periodicity:July - December'2022
DOI : https://doi.org/10.26634/jcir.10.2.18857

Abstract

Growing demand for energy and concerns about environmental pollution has increased the use of renewable energy sources for electricity generation. Among all the renewable energy sources, solar energy is considered the most popular because of its huge benefits. This paper addresses two different problems with using photovoltaic (PV) systems in different applications. One of which is poor tracking performance, especially under partially shaded conditions (PSC). Therefore for global maximum power point (GMPP) tracking, a swarm intelligence-based maximum power point tracking (MPPT) method is used, which includes a particle swarm optimization (PSO) algorithm under the PSC, thereby improving the tracking efficiency of the PV system.

Keywords

PV Array, Modified Perturb and Observe (P&O) MPPT, Particle Swarm Optimization (PSO) Algorithm, Boost Converter, PSC, PID Controller, DC-To-DC Boost Converter.

How to Cite this Article?

Sireesha, A., Babu, B. M., and Ravindra, K. (2022). An Advanced MPPT Algorithm for PV Systems to Track GMPP under PSC Condition. i-manager’s Journal on Circuits and Systems, 10(2), 35-43. https://doi.org/10.26634/jcir.10.2.18857

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