2016 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) 2016
DOI: 10.1109/itec-ap.2016.7513009
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Cited by 14 publications
(10 citation statements)
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“…The main objective is to determine the optimal sites where PV/BESS integrated CS should be located. The multi-objective approach of the proposed MCTLBO serves two objectives of minimizing the total annual cost of the system ) ( (26) The distance between CS and load point was collected from [2,34].…”
Section: Problem Formulationmentioning
confidence: 99%
“…The main objective is to determine the optimal sites where PV/BESS integrated CS should be located. The multi-objective approach of the proposed MCTLBO serves two objectives of minimizing the total annual cost of the system ) ( (26) The distance between CS and load point was collected from [2,34].…”
Section: Problem Formulationmentioning
confidence: 99%
“…Islam, Mohamed, and Shareef () presented optimal allocation of charging station in a superimposed network comprising of 14 bus test network and the road network of Bangi, Malaysia. Leeprechanon, Phonrattanasak, and Sharma () provided the optimal location of EV charging stations in a superimposed network of IEEE 69 bus test system and the residential network of Tianjin. Zhang and Cheng () solved the optimal placement of charging station problem in a coupled network of 9 node transport and 14 node distribution networks.…”
Section: Modeling Of Charging Infrastructure Planning Problemmentioning
confidence: 99%
“…The IEEE 33 bus radial network representing the model electric distribution network and a 25 node road network were superimposed together. Similarly, the authors in [28][29][30][31] all presented optimal allocation of charging stations using a superimposed distribution and road network. They all either used IEEE's test network or real electric grid in a locality to model the distribution network.…”
Section: Optimal Siting Of Charging Infrastructure Using Transportatimentioning
confidence: 99%