Abstract
Particle Swarm Optimization (PSO) is widely used in maximum power point tracking (MPPT) of photovoltaic (PV) energy systems. Nevertheless, this technique suffers from two main problems in the case of partial shading conditions (PSCs). The first problem is that PSO is a time invariant optimization technique that cannot follow the dynamic global peak (GP) under time variant shading patterns (SPs) and sticks to the first GP that occurs at the beginning. This problem can be solved by dispersing the PSO particles using two new techniques introduced in this paper. The two new proposed PSO re-initialization techniques are to disperse the particles upon the SP changes and the other one is upon a predefined time (PDT). The second problem is regarding the high oscillations around steady state, which can be solved by using fuzzy logic controller (FLC) to fine-tune the output power and voltage from the PV system. The new contribution of this paper is the hybrid PSO-FLC with two PSO particles dispersing techniques that is able to solve the two previous mentioned problems effectively and improve the performance of the PV system in both normal and PSCs. A detailed list of comparisons between hybrid PSO-FLC and original PSO using the two proposed methodologies are achieved. The results prove the superior performance of hybrid PSO-FLC compared to PSO in terms of efficiency, accuracy, oscillations reduction around steady state and soft tuning of the GP tracked.
Highlights
In recent years, solar energy represents one of the most important and promising renewable energy sources
This paper proposes two new, efficient and accurate re-initialization methodologies of hybrid Particle Swarm Optimization (PSO)-fuzzy logic controller (FLC) to overcome the two previous shortcomings of PSO
To the best of our knowledge, this research study is counted as the first study which discuss in detail, hybrid PSO-FLC and PSO with and without the re-initialization of the particles to track the dynamic global peak (GP) continuously under time variant shading patterns (SPs)
Summary
Solar energy represents one of the most important and promising renewable energy sources. Based on the previous literature review, original PSO can track the GP under the same SP with undesirable oscillation around steady state. It cannot follow the dynamic GP under time variant SPs and sticks at the first GP. To the best of our knowledge, this research study is counted as the first study which discuss in detail, hybrid PSO-FLC and PSO with and without the re-initialization of the particles to track the dynamic GP continuously under time variant SPs. This paper is organized as follows; Section 2 describes the PV system modelling under PSC.
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