HYBRID GENETIC ALGORITHM VERSUS PSO FOR TRACKING THE MPP OF PV MODULE
Classical algorithms for maximum power point tracking (MPPT) are not difficult to implement and provide accurate enough results and speed under normal conditions. Under partial shading or other multiple local maximum power point (MPP) conditions they are missing the global MPP. This paper propose...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Academica Brancusi
2018-05-01
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| Series: | Fiabilitate şi Durabilitate |
| Subjects: | |
| Online Access: | http://www.utgjiu.ro/rev_mec/mecanica/pdf/2018-01/80_Sabin%20POPESCU%20-%20HYBRID%20GENETIC%20ALGORITHM%20VERSUS%20PSO%20FOR%20TRACKING%20THE%20MPP%20OF%20PV%20MODULE.pdf |
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| Summary: | Classical algorithms for maximum power point tracking (MPPT) are not difficult
to implement and provide accurate enough results and speed under normal conditions. Under
partial shading or other multiple local maximum power point (MPP) conditions they are missing
the global MPP. This paper proposes a hybrid genetic algorithm (HGA) for tracking the maximum
power point when multiple local maximum power points can be found and a comparison with a
biological algorithm for tracking the maximum power point: Particle Swarm Optimization (PSO). |
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| ISSN: | 1844-640X 1844-640X |