A Global MPPT Controller Based on an Improved Particle Swarm Optimization Algorithm-Reference-Cited by-同舟云学术

A Global MPPT Controller Based on an Improved Particle Swarm Optimization Algorithm

Published:2023 Issue: Volume: Page:281-288
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Mammeri E.,Ahriche A.,Necaibia A.,Bouraiou A.,Ziane A.,Lachtar S.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-21216-1_30

Reference12 articles.

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2. Dileep, G., Singh, S.N.: Maximum power point tracking of solar photovoltaic system using modified perturbation and observation method. Renew. Sustain. Energy Rev. 50(2015), 109–129 (2015). https://doi.org/10.1016/j.rser.2015.04.072

3. Eberhart, R., Kennedy, J.: A new optimizer using particle swarm theory. In: International Symposium on Micro Machine and Human Science, pp. 39–43 (1999)

4. Harrag, A., Messalti, S.: Adaptive GA-based reconfiguration of photovoltaic array combating partial shading conditions. Neural Comput. Appl. 30(4), 1145–1170 (2016). https://doi.org/10.1007/s00521-016-2757-y

5. Harrag, A., Messalti, S.: Variable step size modified P&O MPPT algorithm using GA-based hybrid offline/online PID controller. Renew. Sustain. Energy Rev. 49, 1247–1260 (2015). https://doi.org/10.1016/j.rser.2015.05.003

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