Charging infrastructure planning for electric vehicles

Show simple item record Deb, Sanchari 2020-08-05T06:07:17Z 2020-08-05T06:07:17Z 2020
dc.identifier.other ROLL NO.166151006
dc.description Supervisors: Pinakeswar Mahanta and Karuna Kalita en_US
dc.description.abstract The ever increasing energy demand accompanied by fossil fuel depletion and environmental degradation has paved the path of transportation electrification. Electric Vehicles (EVs) are environmental friendly alternative to conventional Internal Combustion Engine (ICE) driven vehicles. For large scale deployment of EVs sustainable charging infrastructure needs to be developed. The charging station placement problem is a complex problem involving power distribution network and road network. Charging stations must be placed in the distribution network in such a way that the negative impact of placement of charging stations on the operating parameters of the distribution network is minimized. Also, the location of charging station must be optimized considering the route behavior of EV drivers and charging demand of the EVs computed based on the driving range of the EV. Hence, motivated by all the aforementioned factors this thesis aims to delve into charging infrastructure planning for EVs. The thesis proposes single-objective, multi-objective as well as robust two-stage formulation of charging station placement problem. Moreover, hybridization of Chicken Swarm Optimization and Teaching Learning Based Optimization Algorithm (CSO TLBO) is proposed for solving the charging station placement problem. The proposed formulations of charging station placement problem are validated on superimposed 33 bus distribution and 25 node road network, city of Tianjin, and highway network of Guwahati. en_US
dc.language.iso en en_US
dc.relation.ispartofseries TH-2165;
dc.subject ENERGY en_US
dc.title Charging infrastructure planning for electric vehicles en_US
dc.type Thesis en_US

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