A Novel Modified PSO Algorithm to Optimise the PV Output Power of Grid-Connected PV System

International Journal of Electrical and Electronics Engineering

© 2023 by SSRG - IJEEE Journal

Volume 10 Issue 7

Year of Publication : 2023

Authors : Aizad Khursheed, Mohd Ilyas, Khwaja M. Rafi, Abul Saeed Azad

10.14445/23488379/IJEEE-V10I7P117

How to Cite?

Aizad Khursheed, Mohd Ilyas, Khwaja M. Rafi, Abul Saeed Azad, "A Novel Modified PSO Algorithm to Optimise the PV Output Power of Grid-Connected PV System," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 7, pp. 188-198, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I7P117

Abstract:

In this paper, a modified Particle Swarm Optimisation (PSO) algorithm for optimisation has been presented. The modified PSO algorithm can optimise nonlinear and multivariate problems that require minimal parameterisation but usually lead to efficient, reasonable solutions. The results show that the promising search capability of the optimisation algorithm is useful. It provides better outcomes for various test functions. The obtained result has been compared with the Camel algorithm. Due to many advantages, the particle swarm optimisation algorithm is the most effective and best for MPP tracking in a PV array’s partial shading conditions (PSC). Even though overall PSO in partial shading conditions (PSC) ensures global MPP, it has some drawbacks, including local maximum capture because of random population initialisation, longer tracking times, more extensive search areas, output power fluctuations, and longer stabilisation. A novel modified PSO-based MPPT mechanism to extract global maximum power (GMP) from photovoltaic systems. The newly developed PSO algorithm has been compared with the existing MPPT method. In the second part of the article, a novel modified PSO algorithm is implemented on a PV hybrid system connected with a grid, and performance has been checked with different loads. Simulation of different parts of the PV system is developed with the help of MATLAB/ Simulink. The DC/AC and bi-directional DC/DC converters that serve as the foundation of the proposed hybrid network’s power management are used in the proposed control. MATLAB/Simulink is used to show how well the suggested control works.

Keywords:

Multidimensional test function, Novel modified PSO algorithm, Parameter setting optimisation algorithm, Camel algorithm, MPPT, PV system.

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