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Novel metaheuristic optimization strategies for plug-in hybrid electric vehicles: A holistic review.
- Source :
- Intelligent Decision Technologies; 2016, Vol. 10 Issue 2, p149-163, 15p
- Publication Year :
- 2016
-
Abstract
- Hybrid Vehicles have experienced major modifications since the last decade. Smart grid success with combination of renewable energy exclusively depends upon the large-scale penetration of Plug-in Hybrid Electric Vehicles (PHEVs) for a sustainable and carbon-free transportation. Recent technical studies regarding various optimization strategies related to PHEV integrated smart grid; such as control and battery charging, vehicle-to-grid (V2G), unit commitment, charging infrastructures, integration of solar and wind energy and demand management prove that electrification of transportation as a rapidly growing field of research. This work presents a holistic review of all substantial research applying metaheuritics optimization for plug-in-hybrid electric vehicles. A summary on future perspective of metaheuristic algorithms is also provided, covering Cuckoo Search (CS), Harmony Search (HS), Artificial Bee Colony (ABC), etc. with a comprehensive reviews on previously applied methods and their performance for solving different real-world problems in the domain of PHEVs. Moreover, significant shifts towards hybrid and hyper metaheuristics are also highlighted. [ABSTRACT FROM AUTHOR]
- Subjects :
- PLUG-in hybrid electric vehicles
METAHEURISTIC algorithms
SMART power grids
Subjects
Details
- Language :
- English
- ISSN :
- 18724981
- Volume :
- 10
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Intelligent Decision Technologies
- Publication Type :
- Academic Journal
- Accession number :
- 113643616
- Full Text :
- https://doi.org/10.3233/IDT-150245