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Hybrid PSO-FLC for dynamic global peak extraction of the partially shaded photovoltaic system
- Source :
- PLoS ONE, Vol 13, Iss 11, p e0206171 (2018), PLoS ONE
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
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.
- Subjects :
- Optimization
Computer and Information Sciences
Time Factors
Computer science
020209 energy
lcsh:Medicine
02 engineering and technology
Plant Science
Flowers
Research and Analysis Methods
Infographics
Maximum power point tracking
Reduction (complexity)
Fuzzy Logic
Control theory
0202 electrical engineering, electronic engineering, information engineering
Solar Energy
Computer Simulation
Pollination
lcsh:Science
Extraction Techniques
Multidisciplinary
Steady state
Data Visualization
Plant Anatomy
Photovoltaic system
lcsh:R
Particle swarm optimization
Biology and Life Sciences
Models, Theoretical
Computing Methods
Charts
Power (physics)
Energy and Power
Plant Physiology
Photovoltaic Power
Physical Sciences
Engineering and Technology
lcsh:Q
Alternative Energy
Mathematics
Algorithms
Voltage
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....4e6770aa8a4c80a43a1725bf889c7856