International Journal of Innovative Engineering, Technology & Science

Perturb and Observe – Particle Swarm Optimization (PO-PSO) Algorithm for Maximum Power Point Tracking in Photovoltaic Systems
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Perturb and Observe – Particle Swarm Optimization (PO-PSO) Algorithm for Maximum Power Point Tracking in Photovoltaic Systems

Publication Date : 12/05/2020


Author(s) :

Ezeonu, I. C, Iloh, J. P, Akaneme, S. A, Nwabueze, C. A..


Volume/Issue :
Volume 3
,
Issue 1
(05 - 2020)



Abstract :

Varying weather and poor technical conditions such as Partial shading condition (PSC), module mismatch etc are known factors that adversely affect the maximum power output of photovoltaic (PV) systems. Under such conditions, the photovoltaic systems electrical characteristics (mainly power, voltage and current) become more complex exhibiting numerous maximum power points (MPP). Most predictable Maximum Power Point Tracking (MPPT) algorithms, such as P&O, incremental conductance INC, etc often get trapped at the local MPP and thus restraining the maximum power generation. To solve this problem, This paper proposes a hybrid method known as Perturb and Observe with Particle Swarm Optimization (PO-PSO) algorithm for maximizing power output of photovoltaic (PV) arrays. The PO-PSO algorithm was implemented on the PV under varying weather conditions and power generated from the array was monitored. The performances of usual P&O, PSO and the proposed PO-PSO algorithms were also studied while subjecting them to varying conditions. The simulation results showed that the developed PO- PSO algorithm was able to assist the PV array system to attain the global MPP (GMPP) and support the PV array to produce more stable and reliable power output compared to the P&O and PSO algorithms implemented separately.


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