The Optimal Placement of Electric Vehicle Fast Charging Stations in the Electrical Distribution System with Randomly Placed Solar Power Distributed Generations
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abstract
The growing use of electric vehicles (EVs) in todays transport sector isgradually reducing the use of petroleum-based vehicles. However, as EVpenetration grows, the EVs demand influences distribution network parameterssuch as power loss, voltage profile. Therefore, an improved bald eaglesearch (IBES) algorithm is suggested for the optimal placement of FCSsinto the distribution network with high penetration of randomly distributedsolar power generation (SPDG). This study suggests a two-stage approachfor placing FCSs. The charging station investor decision index (CSIDI) was introduced in the first stage, taking into account the land cost index (LCI)and the electric vehicle population index (EVPI). The CSIDI was developedto decrease land costs while increasing EV population for FCS installation.In the next one, an optimization problem is constructed to minimize totalactive power loss while taking distribution system operator (DSO) constraintsinto consideration. The IEEE-34 bus distribution system is used as theproposed network. The simulation is carried out in MATLAB to integratethe EVCSs in three cases in the distribution network with SPDGs randomlyplaced. Therefore, The IBES found the best optimal positions with a powerloss of 198.43 kW. When compared to the PSO technique, the IBES techniquehas a reduced average power loss of 2.02%.
