TY - GEN
T1 - Node identification for placing EVs and PAs in a distribution network
AU - Kasi, Venkata Ramana
AU - Thirugnanam, Kannan
AU - Kumar, Praveen
AU - Majhi, Somanath
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/29
Y1 - 2014/10/29
N2 - Voltage support to the Distribution Node (DN) is necessary requirement due to fluctuations of time varying reactive load. The Photovoltaic's Arrays (PAs) and Electric Vehicles (EVs) provide active and reactive power support to DN. Voltage support can be achieved at DN node from RES and EVs. In this paper, coordination of EVs and PAs are integrated with DN to improve the voltage profile. The coordination can be achieved by providing active and reactive power support through PAs and the EVs charge/discharge (support/inject) based on the node voltage. The bulk numbers of EVs are connected to the DN through point of common coupling (PCC) which is called as Charging Station (CS). Many PAs are used to generate power for DN support; it's known as DN Supporting Point (DNSP). The main focus of this work is to predict the most accurate location of CS and DNSP. A 33kV Distribution System (DS) of Guwahati city is modeled in MATLAB Simulink environment with four types of active and reactive load profiles. Typical DS having 48 nodes, the CS and DNSP are connected in each node of the DS. To control the power flow of the CS and DNSP, fuzzy based control strategies and optimal aggregator has been implemented. Also, probability distribution function has been used to find the scheduled arrival of EVs at CS. Voltage, power and energy of the CS and DNSP are compared.
AB - Voltage support to the Distribution Node (DN) is necessary requirement due to fluctuations of time varying reactive load. The Photovoltaic's Arrays (PAs) and Electric Vehicles (EVs) provide active and reactive power support to DN. Voltage support can be achieved at DN node from RES and EVs. In this paper, coordination of EVs and PAs are integrated with DN to improve the voltage profile. The coordination can be achieved by providing active and reactive power support through PAs and the EVs charge/discharge (support/inject) based on the node voltage. The bulk numbers of EVs are connected to the DN through point of common coupling (PCC) which is called as Charging Station (CS). Many PAs are used to generate power for DN support; it's known as DN Supporting Point (DNSP). The main focus of this work is to predict the most accurate location of CS and DNSP. A 33kV Distribution System (DS) of Guwahati city is modeled in MATLAB Simulink environment with four types of active and reactive load profiles. Typical DS having 48 nodes, the CS and DNSP are connected in each node of the DS. To control the power flow of the CS and DNSP, fuzzy based control strategies and optimal aggregator has been implemented. Also, probability distribution function has been used to find the scheduled arrival of EVs at CS. Voltage, power and energy of the CS and DNSP are compared.
KW - charging station
KW - distribution node
KW - electric vehicles
KW - photovoltaic arrays
KW - probability distribution function
UR - http://www.scopus.com/inward/record.url?scp=84930989306&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2014.6939847
DO - 10.1109/PESGM.2014.6939847
M3 - Conference contribution
AN - SCOPUS:84930989306
T3 - IEEE Power and Energy Society General Meeting
BT - 2014 IEEE PES General Meeting / Conference and Exposition
PB - IEEE Computer Society
T2 - 2014 IEEE Power and Energy Society General Meeting
Y2 - 27 July 2014 through 31 July 2014
ER -