Comparison between P&O and SSO techniques based MPPT algorithm for photovoltaic systems

Mohamed Hussein Mohamedy Ali, Mahmoud Mohammed Sayed Mohamed, Ninet Mohamed Ahmed, Mohamed Bayoumy Abdelkader Zahran

Abstract


Solar photovoltaic (SPV) systems are a renewable source of energy that are environmentally friendly and recyclable nature. When the solar panel is connected directly to the load, the power delivered to the load is not the optimal power. It is therefore important to obtain maximum power from SPV systems for enhancing efficiency. Various maximum power point tracking (MPPT) techniques of SPV systems were proposed. Traditional MPPT techniques are commonly limited to uniform weather conditions. This paper presents a study of MPPT for photovoltaic (PV) systems. The study includes a discussion of different MPPT techniques and performs comparison for the performance of the two MPPT techniques, the P&O algorithm, and salp swarm optimization (SSO) algorithm. MATLAB simulations are performed under step changes in irradiation. The results of SSO show that the search time of maximum power point (MPP) is significantly decreased and the MPP is obtained in the shortest time with high accuracy and minimum oscillations in the generated power when compared with P&O.

Keywords


Maximum power point tracking; Simulink; P&O; Photovoltaic system; Salp swarm optimization

Full Text:

PDF


DOI: http://doi.org/10.11591/ijece.v12i1.pp32-40

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578