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DC Field | Value | Language |
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dc.contributor.author | Kandasamy, Kalaiselvi | - |
dc.contributor.author | Perumal, Renuga | - |
dc.contributor.author | Velu, Suresh Kumar | - |
dc.date.accessioned | 2025-02-17T11:34:47Z | - |
dc.date.available | 2025-02-17T11:34:47Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Kandasamy, Kalaiselvi; Perumal,Renuga; Velu,Suresh Kumar. ELM-ANFIS based controller for plug-in electric vehicle to grid integration. Timişoara: Editura Politehnica, 2018. | en_US |
dc.identifier.issn | 1582-4594 | - |
dc.identifier.uri | https://dspace.upt.ro/xmlui/handle/123456789/7180 | - |
dc.description.abstract | In this paper, the authors propose adaptive neuro fuzzy inference system (ANFIS) algorithm, based on extreme learning machine (ELM) concepts for designing a controller for electric vehicle to grid (V2G) integration. First, learning speed and accuracy of the proposed algorithm is checked and second the transient response of the ELM-ANFIS (e-ANFIS) based controller is analyzed. The proposed new learning technique overcomes the slow learning speed of the conventional ANFIS algorithm without sacrificing the generalization capability. Thus, even with an involvement of a large number of plug-in hybrid electric vehicles (PHEV), a control technique for their charge and discharge pattern can be easily designed. To study the computational performance and transient response of the e-ANFIS based controller, it is compared with conventional ANFIS based controller. To implement the vehicle to grid integration concept, IEEE 33 bus radial distribution system is modelled in MATLAB environment. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Timișoara : Editura Politehnica | en_US |
dc.relation.ispartofseries | Journal of Electrical Engineering;Vol 18 No 4 | - |
dc.subject | Grid integration | en_US |
dc.subject | Electric vehicle | en_US |
dc.subject | Distribution system | en_US |
dc.subject | Extreme learning machine | en_US |
dc.subject | ANFIS | en_US |
dc.title | ELM-ANFIS based controller for plug-in electric vehicle to grid integration [articol] | en_US |
dc.type | Article | en_US |
Appears in Collections: | Articole științifice/Scientific articles |
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File | Description | Size | Format | |
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BUPT_ART_Kandasamy_f.pdf | 678.11 kB | Adobe PDF | View/Open |
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