TY - JOUR
T1 - A cost-efficient approach to EV charging station integrated community microgrid
T2 - A case study of indian power market
AU - Ahmad, Furkan
AU - Alam, Mohammad Saad
AU - Shariff, Samir M.
AU - Krishnamurthy, Mahesh
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - Rising atmospheric adulteration due to exponential growth in urbanization, industrialization, and increasing the number of on-road vehicles is raising an alarming situation for urban communities. To mitigate the effects of this escalating issue, there is direct need for implementation of alternative fuel-based distributed generation and transportation system. In this paper, an optimal framework of energy management system (EMS) for public electric vehicles (EVs) charging station integrated with the community microgrid is proposed, based on switching mechanism from one trading market to another. The proposed framework is executed by formulating a mix integer, nonlinear problem under multiple trading locations. The aim of EMS is to minimize the cost of energy to charge the vehicle and to meet the community load, demand while maximizing the selling cost of the surplus energy of a solar photovoltaic system and the energy discharged by EVs. The proposed approach is applied to a 100-house community in the context of the Indian community, assuming each house governs one EV and returning charging station to charge and discharge the EV.
AB - Rising atmospheric adulteration due to exponential growth in urbanization, industrialization, and increasing the number of on-road vehicles is raising an alarming situation for urban communities. To mitigate the effects of this escalating issue, there is direct need for implementation of alternative fuel-based distributed generation and transportation system. In this paper, an optimal framework of energy management system (EMS) for public electric vehicles (EVs) charging station integrated with the community microgrid is proposed, based on switching mechanism from one trading market to another. The proposed framework is executed by formulating a mix integer, nonlinear problem under multiple trading locations. The aim of EMS is to minimize the cost of energy to charge the vehicle and to meet the community load, demand while maximizing the selling cost of the surplus energy of a solar photovoltaic system and the energy discharged by EVs. The proposed approach is applied to a 100-house community in the context of the Indian community, assuming each house governs one EV and returning charging station to charge and discharge the EV.
KW - Electric vehicles (EVs)
KW - energy management
KW - energy resources
KW - microgrid
KW - optimization
KW - power system economics
UR - http://www.scopus.com/inward/record.url?scp=85063545814&partnerID=8YFLogxK
U2 - 10.1109/TTE.2019.2893766
DO - 10.1109/TTE.2019.2893766
M3 - Article
AN - SCOPUS:85063545814
SN - 2332-7782
VL - 5
SP - 200
EP - 214
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 1
M1 - 8620357
ER -