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Performance Evaluation of Maximum Power Point Algorithms for Annulling the Effect of Irradiance and Temperature for Standalone Electric Vehicle Charger

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dc.contributor.authorOruganti K.S.P.en_US
dc.contributor.authorVaithilingam C.A.en_US
dc.contributor.authorRajendran G.en_US
dc.contributor.authorRamasamy A.en_US
dc.contributor.authorGamboa R.A.en_US
dc.contributor.authorid57221966580en_US
dc.contributor.authorid24831942700en_US
dc.contributor.authorid57211063292en_US
dc.contributor.authorid16023154400en_US
dc.contributor.authorid55744755500en_US
dc.date.accessioned2023-05-29T09:09:38Z
dc.date.available2023-05-29T09:09:38Z
dc.date.issued2021
dc.descriptionCharging (batteries); Electric vehicles; Irradiation; Maximum power point trackers; Photovoltaic effects; Power quality; Solar power generation; Vehicle performance; Condition; Constant temperature; Cuckoo search algorithms; Electric vehicles chargers; Maximum power; Maximum Power Point Tracking algorithms; Maximum power point tracking techniques; Perturb observe; Solar photovoltaic system; Steady state; Particle swarm optimization (PSO)en_US
dc.description.abstractThe study presented in this paper deals with the evaluation of maximum power point tracking (MPPT) algorithms to nullify the effect of varying irradiance and temperature inputs given to the solar photovoltaic (PV) powered standalone electric vehicle (EV) chargers. Three different MPPT algorithms, namely perturb and observe (PO), particle swarm optimization (PSO), and cuckoo search (CA) algorithm, are designed and the settling time to reach steady-state by overcoming the effect of variable irradiance and temperature along with partial shading is analyzed. In this analysis, four different conditions are introduced: constant irradiation and constant temperature, which is an ideal case followed by change in irradiation with constant temperature, constant irradiance with temperature change, and finally, both varying irradiance and temperature. Among the algorithms, the CA algorithm tracks to the maximum power of 19.9kW, 12.8kW, 12.3kW, and 19.42kW respectively for all conditions. The analysis confirmed that the CA algorithm remains superior with 24%, 67%, 79%, and 40% of a maximum power compared to others by achieving the steady state at 0.2 seconds. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/i-PACT52855.2021.9696741
dc.identifier.scopus2-s2.0-85126468121
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126468121&doi=10.1109%2fi-PACT52855.2021.9696741&partnerID=40&md5=7d60c054484ec8ce74c339f5f6e65ebc
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26374
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021
dc.titlePerformance Evaluation of Maximum Power Point Algorithms for Annulling the Effect of Irradiance and Temperature for Standalone Electric Vehicle Chargeren_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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