DocumentCode :
149351
Title :
Optimal allocation, sizing and energy management of PHEV parking lots in distribution system
Author :
El-Zonkoly, Amany ; Ashour, Hamdy ; Ahmed, Arif
Author_Institution :
Dept. of Electr. & Control Eng., AAST, Alexandria, Egypt
fYear :
2014
fDate :
25-27 March 2014
Firstpage :
1
Lastpage :
5
Abstract :
The emerging of plug-in-hybrid electric vehicles (PHEV) results in the increase in the utilization of vehicles batteries for grid support. This paper presents a multi-objective algorithm to optimally determine the number of parking lots to be allocated in a distribution system. In addition, the algorithm optimally selects the locations and sizes of these parking lots. The proposed algorithm determines also the corresponding energy scheduling of the system resources. The objective of the proposed algorithm is to minimize the overall energy cost of the system. The problem is formulated as an optimization problem which is solved using artificial bee colony (ABC) algorithm taking into consideration the power system and PHEV operational constraints. The proposed algorithm is applied to a 33-bus radial distribution network. The test results indicate an improvement in the operational conditions of the system.
Keywords :
ant colony optimisation; battery powered vehicles; distribution networks; energy management systems; power grids; 33-bus radial distribution network; ABC algorithm; PHEV parking lots; artificial bee colony algorithm; distribution system; energy management; energy scheduling; grid support; multiobjective algorithm; optimal allocation; optimization problem; plug-in-hybrid electric vehicles; vehicles batteries; Batteries; Discharges (electric); Energy management; Optimization; Partial discharges; Power systems; Vehicles; ABC optimization; Energy management; PHEV; distribution system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Renewable Energy Congress (IREC), 2014 5th International
Conference_Location :
Hammamet
Print_ISBN :
978-1-4799-2196-6
Type :
conf
DOI :
10.1109/IREC.2014.6827018
Filename :
6827018
Link To Document :
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