“Optimal Placement of Charging Station in Om Distribution Feeder of New Chabahil Substation Considering Dynamic Nature of Electric Vehicle Load”
| dc.contributor.author | Sah, Nandkishor | |
| dc.date.accessioned | 2023-12-20T05:38:37Z | |
| dc.date.available | 2023-12-20T05:38:37Z | |
| dc.date.issued | 2023-12 | |
| dc.description | Electric vehicle charging stations are connection point between the distribution network and transportation network, so operational behaviour of electric vehicles affects both the network simultaneously. In this work optimal location of charging station is done considering minimization of distribution loss occurring in the electrical network, minimization of travel loss that occurs when an EV travel from their location to CS location point and maximization of utilization factor which shows how efficiently a CS is utilized which help in deciding the number of CS to be placed in a considered network. These three objectives are solved individually using Genetic Algorithm (GA) and solved simultaneously by using non-dominated sorting genetic algorithm- II (NSGA-II) to obtain a set of compromised solution from which best compromised solution is selected by Fuzzy optimization technique. | en_US |
| dc.description.abstract | Globally, the main goal of environmentalist is to reduce the problem of global warming and climate change whose one of the major sources is the existing fossil dependent transportation system, has forced many nations to implement pollution free battery-operated electric vehicle (EV) system which requires electrically operated charging station (CS). Due to this, the number of charging station integrated in the existing distribution system is increasing day by day and the increase in number is further motivated by the research being carried out for development of enhanced battery with cost optimization and subsidies provided by the Government body which is of big concern for the existing electrical distribution system | en_US |
| dc.description.provenance | Submitted by Govinda Bista (govind.bist@ncc.tu.edu.np) on 2023-12-20T05:38:37Z No. of bitstreams: 1 Nandkishor Sah Master thesis electrical engineering power system Dec 2023.pdf: 2378220 bytes, checksum: 54140cb7caf82000f3b49a5e95935478 (MD5) | en |
| dc.description.provenance | Made available in DSpace on 2023-12-20T05:38:37Z (GMT). No. of bitstreams: 1 Nandkishor Sah Master thesis electrical engineering power system Dec 2023.pdf: 2378220 bytes, checksum: 54140cb7caf82000f3b49a5e95935478 (MD5) Previous issue date: 2023-12 | en |
| dc.identifier.uri | https://elibrary.tucl.edu.np/handle/20.500.14540/21059 | |
| dc.language.iso | en | en_US |
| dc.publisher | I.O.E. Pulchowk Campus | en_US |
| dc.subject | Charging Station, | en_US |
| dc.subject | Dynamic Nature, | en_US |
| dc.subject | Electric Vehicle | en_US |
| dc.title | “Optimal Placement of Charging Station in Om Distribution Feeder of New Chabahil Substation Considering Dynamic Nature of Electric Vehicle Load” | en_US |
| dc.type | Thesis | en_US |
| local.academic.level | Masters | en_US |
| local.affiliatedinstitute.title | Pulchowk Campus | en_US |
| local.institute.title | Institute of Engineering | en_US |
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