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Particle swarm optimization with individually biased particles for reliable and robust maximum power point tracking under partial shading conditions

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dc.contributor.authorKurmanbay, A.
dc.contributor.authorSakhanov, K.
dc.contributor.authorSyzdykov, A.
dc.contributor.authorMukhamediyev, A.
dc.contributor.authorBaktybekov, K.
dc.date.accessioned2024-11-27T16:22:28Z
dc.date.available2024-11-27T16:22:28Z
dc.date.issued2020
dc.description.abstract© 2020 E.A.Buketov Karaganda State University Publish House. All rights reserved.Efficient power control techniques are an integral part of photovoltaic system design. One of the means of managing power delivery is regulating the duty cycle of the DC to DC converter by various algorithms to operate only at points where power is maximum power point. Search has to be done as fast as possible to minimize power loss, especially under dynamically changing irradiance. The challenge of the task is the nonlinear behavior of the PV system under partial shading conditions. Depending on the size and structure of the photovoltaic panels, PSC creates an immense amount of possible P-V curves with numerous local maximums - requiring an intelligent algorithm for determining the optimal operating point. Existing benchmark maximum power point tracking algorithms cannot handle multiple peaks, and in this paper, we offer an adaptation of particle swarm optimization for the specific task.
dc.format.extentС. 128-137
dc.identifier.citationParticle swarm optimization with individually biased particles for reliable and robust maximum power point tracking under partial shading conditions / Kurmanbay, A. [et al.] // Eurasian Physical Technical Journal. - 2020. - 17. - № 2. - P. 128-137. - 10.31489/2020NO2/128-137
dc.identifier.doi10.31489/2020NO2/128-137
dc.identifier.urihttps://www.doi.org/10.31489/2020NO2/128-137
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85100321135&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/23098
dc.relation.ispartofEurasian Physical Technical Journal
dc.titleParticle swarm optimization with individually biased particles for reliable and robust maximum power point tracking under partial shading conditions
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume17
relation.isOrgUnitOfPublication010157d0-1f75-46b2-ab5b-712e3424b4f5
relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
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