Title :
Effect of load models on Battery-Switching Station allocation in distribution network
Author :
Jamian, J.J. ; Mustafa, M.W. ; Muda, Zaiton ; Mokhlis, H. ; Aman, M.M.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
Abstract :
Battery-Switching Station (BSS) is one of the most important components in the growth of electrical vehicle (EV) market. In the distribution network point of view, these BSS units are a new type of load in the distribution system for charging the EV. The charging process consume real power, thus the nature of BSS load is purely resistive. Without proper allocation of BSS units, it might cause the power losses in the distribution system increase dramatically. In the present study, BSS units are located optimally utilizing Artificial Bee Colony (ABC) algorithm. The 33-bus distribution system with three distributed generators (DG) units using different load types is used as a test system. The result shows that the optimal location of BSS units does not affect the load types but has an impact to the power losses and voltage profile value.
Keywords :
ant colony optimisation; battery storage plants; distributed power generation; distribution networks; electric vehicles; 33-bus distribution system; ABC algorithm; BSS units; DG units; EV charging process; EV market; artificial bee colony algorithm; battery-switching station allocation; distributed generators; distribution network; electrical vehicle market; load model effect; power losses; test system; voltage profile value; Batteries; Conferences; Educational institutions; Electric vehicles; Load modeling; Power systems; Resource management; Battery Switching Station; Distributed Generation; Load Model; Optimization Method;
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
DOI :
10.1109/PECon.2012.6450203
