Effect of load models on Battery-Switching Station allocation in distribution network

Jamian, J.J. and Mustafa, M.W. and Muda, Z. and Mokhlis, Hazlie and Aman, M.M. (2012) Effect of load models on Battery-Switching Station allocation in distribution network. In: 2012 IEEE International Conference on Power and Energy, PECon 2012, 2012, Kota Kinabalu.

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference code: 95813 Export Date: 17 April 2013 Source: Scopus Art. No.: 6450203 :doi 10.1109/PECon.2012.6450203 Language of Original Document: English Correspondence Address: Jamian, J.J.; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia References: Moghaddas-Tafreshi, S.M., Mashhour, E., Distributed generation modeling for power flow studies and a three-phase unbalanced power flow solution for radial distribution systems considering distributed generation (2009) Electric Power Systems Research, 79, pp. 680-686; Niknam, T., A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources (2011) Applied Energy, 88, pp. 4817-4830; Hee-Jin, L., Study on wind-turbine generator system sizing considering voltage regulation and overcurrent relay coordination (2011) Power Systems, IEEE Transactions on, 26, pp. 1283-1293; Marano, V., Vehicle electrification: Implications on generation and distribution network (2011) 2011 International Conference on Electrical Machines and Systems (ICEMS), pp. 1-6; Pieltain, F., Assessment of the impact of plug-in electric vehicles on distribution networks (2011) Power Systems, IEEE Transactions on, 26, pp. 206-213; Graham, J.D., (2011) Plug-in Electric Vehicles:A Practical Plan for Progress, , School of Public and Environmental Affairs at Indiana University, Bloomington, Indiana, February; Wencong, S., A survey on the electrification of transportation in a smart grid environment (2012) IEEE Transactions on Industrial Informatics, 8, pp. 1-10; Bai, C., Analyzing the impact of electric vehicles on distribution networks (2012) 2012 IEEE PES in Innovative Smart Grid Technologies (ISGT), pp. 1-8; Chen, Y., Integration of electric vehicle charging system into distribution network (2011) 2011 IEEE 8th International Conference on Power Electronics and ECCE Asia (ICPE & ECCE), pp. 593-598; (2012) Plug-In Electric Vehicle Handbook, , N. R. E. L. (NREL) April; Etezadi-Amoli, M., Rapid-charge electric-vehicle stations (2010) IEEE Transactions on Power Delivery, 25, pp. 1883-1887; Singh, E.D., Singh, D., Verma, K.S., Multiobjective optimization for dg planning with load models (2009) IEEE Trans. Power Syst, 24 (1), pp. 427-436. , Feb; Karaboga, N., A new design method on artificial bee colony algorithm for digital iir filters (2009) Journal of the Franklin Institute, 346, pp. 328-348; Lalitha, M.P., Reddy, V.C.V., Usha, V., Optimal dg placement for minimum real power loss in radial distribution systems using pso (2010) J. Theor. Appl. Inf. Technol, 13, pp. 107-116 Sponsors: IEEE Malaysia; IEEE Malaysia Power Electronics/Industrial; Electronics/Industrial Applications Joint Chapter; IEEE Malaysia Power and Energy Chapter
Uncontrolled Keywords: Battery Switching Station; Distributed Generation; Load Model; Optimization Method; Artificial bee colony algorithms (ABC); Charging process; Distributed generators; Distribution systems; Electrical vehicles; Load models; Load type; Optimal locations; Point of views; Power-losses; Proper allocations; Real power; Switching stations; Test systems; Voltage profile; Electric vehicles; Distributed power generation
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 10 Jul 2013 08:15
Last Modified: 09 Oct 2019 09:07
URI: http://eprints.um.edu.my/id/eprint/7833

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