Open AccessElectric vehicles management enabling G2V and V2G in smart distribution system for maximizing profits using MOMVO
Author(s) -
Kasturi Kumari,
Nayak Chinmay Kumar,
Nayak Manas Ranjan
Publication year - 2019
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12013
Subject(s) - schedule , smart grid , automotive engineering , grid , vehicle to grid , electric vehicle , energy storage , load profile , power (physics) , engineering , computer science , electrical engineering , electricity , physics , geometry , mathematics , quantum mechanics , operating system
Summary Charging electric vehicles (EVs) by the grid leads to unexpected spikes in load demand threatening the power system health. As EVs store energy, they can dispense power to meet peak load demands. This paper proposes a charging/discharging strategy to augment the utility of the EVs with a controlled schedule by considering an appropriate driving pattern. EVs are allowed to charge or discharge at the workplace or home which are connected to the same bus of a radial distribution system. Multiobjective multiverse optimization algorithm (MOMVO) is utilized to extract the best possible number of EVs and the bus at which they must be connected, not only to minimize the impact of EV charging/discharging on the grid but also to reduce the costs associated with the operation on behalf of both the EV owner and the utility company. The results obtained ensure both technical and economical appositeness of the proposed strategy.