Open AccessPotential impacts of emission control policy on the vehicle to grid environment: a novel approach
Author(s) -
Ahmad Md Samar,
Sivasubramani Shanmugavelu
Publication year - 2019
Publication title -
iet smart grid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.612
H-Index - 11
ISSN - 2515-2947
DOI - 10.1049/iet-stg.2018.0107
Subject(s) - market penetration , vehicle to grid , environmental economics , grid , electric power system , control (management) , computer science , transport engineering , automotive engineering , operations research , engineering , electric vehicle , power (physics) , economics , electrical engineering , physics , geometry , mathematics , quantum mechanics , artificial intelligence
Environmental conditions strained the existing transportation network to replace its conventional gasoline‐based engines by electric vehicles (EVs) to reduce its share in pollution. EVs promise a potential solution, but they fail to motivate end users because of their inherent drawbacks. Utilisation of EVs in vehicle‐to‐grid (V2G) environment is expected to boost EVs penetration but will burden the conventional power generations for their energy demand. For improvement of the environmental conditions, it is likely that the authorities will come up with a strict emission control policy. This study demonstrates the effects of emission policy on the V2G environment. The proposed problem is modelled as a multi‐objective optimisation problem. Non‐dominated‐sorting‐based genetic algorithm (NSGA‐II) is used to solve this problem. This study also demonstrates a long‐term impact analysis of a system consisting of a V2G market, end users and EVs by considering time variance in EVs penetration and vehicles' performance degradation. This analysis can help in planning and formulating the future V2G market.