TY - JOUR
T1 - Active-reactive power approaches for optimal placement of charge stations in power systems
AU - Wang, Cheng
AU - Dunn, Roderick
AU - Robinson, Francis
AU - Lian, Bo
AU - Yuan, Weijia
AU - Redfern, Miles
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Electric Vehicles (EVs) have been suggested as alternatives to conventional vehicles for reducing petrol consumption and carbon dioxide (CO2) emissions. When a large number of EVs connect to the grid, they can cause a large amount of power loss. Where to install multiple charge stations in the grid, so as to mitigate losses caused by EVs when providing energy to those EVs, is becoming vitally important. In this paper, a distribution test-network model is described. A new analytical method is proposed, using the stations' cooperation in terms of optimal active and reactive power dispatch as well as power flow analysis for locating the optimal placement of charge stations, so as to reduce power losses. This method is compared with the previously developed current density method for single charge stations using system simulation results. It was demonstrated that the methods proposed in this paper are more accurate than the current density method, and that 17% of the average active power loss can be saved for three different types of load profile. In addition, 27% of the average active power loss was saved by installing two charge stations rather than no charge stations in the test-line. It is shown that this could represent a 2.6% annual yield above inflation for investing in installing and running such charge stations.
AB - Electric Vehicles (EVs) have been suggested as alternatives to conventional vehicles for reducing petrol consumption and carbon dioxide (CO2) emissions. When a large number of EVs connect to the grid, they can cause a large amount of power loss. Where to install multiple charge stations in the grid, so as to mitigate losses caused by EVs when providing energy to those EVs, is becoming vitally important. In this paper, a distribution test-network model is described. A new analytical method is proposed, using the stations' cooperation in terms of optimal active and reactive power dispatch as well as power flow analysis for locating the optimal placement of charge stations, so as to reduce power losses. This method is compared with the previously developed current density method for single charge stations using system simulation results. It was demonstrated that the methods proposed in this paper are more accurate than the current density method, and that 17% of the average active power loss can be saved for three different types of load profile. In addition, 27% of the average active power loss was saved by installing two charge stations rather than no charge stations in the test-line. It is shown that this could represent a 2.6% annual yield above inflation for investing in installing and running such charge stations.
KW - Active and reactive power optimisation
KW - Charge stations' location
KW - EVs
KW - Power loss reduction
UR - http://www.scopus.com/inward/record.url?scp=84970946028&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1016/j.ijepes.2016.04.047
U2 - 10.1016/j.ijepes.2016.04.047
DO - 10.1016/j.ijepes.2016.04.047
M3 - Article
AN - SCOPUS:84970946028
SN - 0142-0615
VL - 84
SP - 87
EP - 98
JO - International Journal of Electrical Power & Energy Systems
JF - International Journal of Electrical Power & Energy Systems
ER -