Hassan M. H. Farh, Ali M. Eltamaly, Mohd F. Othman |

- 2020-07-14

- 24 M

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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.

1 : SIMULINK ⺻

1.1 SIMULINK 1

5

Ķ 7

ùķ̼ Ķ (Configuration Parameters) 8

ùķ̼ 9

Ķ ǥ 9

ǥ 11

2.2 ùķ̼ 13

̺й 17

º 23

DC ùķ̼ 24

Լ 29

й(difference equation) 34

Subsystem(νý) 37

2 :

Hybrid PSO-FLC for dynamic global peak extraction of the partially

shaded photovoltaic system

1. Introduction 41

2. Modelling of the photovoltaic system under PSC 42

3. Proposed hybrid PSO-FLC technique for dynamic global peak

extraction 44

4. PSO-FLC re-initialization upon predefined time 49

5. Simulation results and discussion 49

6. PSO-FLC without re-initialization 53

7. Conclusions 53

8. References 55