With the rapid growth of electric vehicle (EV) 1 penetration, EV charging demand is becoming greater and diver-2 sified. To meet the diverse EV charging demand, we propose 3 a market-based coordinated planning method of fast charging 4 station (FCS) and dynamic wireless charging system (DWCS). 5 Firstly, a bi-level coordinated planning model considering the 6 benefits of charging service provider and EV user group is built. 7 It can make full use of the complementary characteristics of 8 FCSs and DWCSs. Then, the energy demand assignment(EDA) 9 approach that can directly assign energy demand to roads and 10 power nodes is proposed and applied in the inner level of bi-level 11 coordinated planning model. Finally, the cases that consider the 12 impact of differentiated traffic demand and land prices in differ-13 ent regions are proposed. The case studies are formulated based 14 on the 21 power nodes-12 traffic nodes network and the 54 power 15 nodes-25 traffic nodes network. To calculate the optimal solu-16 tion, the KKT conditions, the McCormick relaxation approach, 17 the optimization-based bound tightening approach (OBBT) and 18 the sequential bound tightening approach (SBT) are employed. 19 Numerical simulation results validate that the proposed method 20 can effectively improve the profits of charging service provider 21 and keep the EV users' charging cost at relatively low range. 22 Index Terms-Market-based coordinated planning, fast charg-23 ing station, dynamic wireless charging system, energy demand 24 assignment, coupled power-traffic networks.
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