digilib@itb.ac.id +62 812 2508 8800

High future electric vehicle (EV) charging loads risk overloading assets in all parts of a power system and incurring excessive electricity production costs. Therefore, this paper proposes a strategy is proposed that coordinates the actions of transmission and distribution system operators to meet EV charging demands. Novelty and advantages lie in the lack of reliance on day ahead forecasting for vertically structured power systems, which are types implemented in many countries throughout the world. The proposed strategy incorporates particle swarm optimization, is designed to minimize communication requirements and simultaneously considers the energy demands of EV users. A case study is undertaken to demonstrate the strategy effectiveness on the Indonesian Java-Bali power system under different and realistic EV uptake scenarios based on probabilistic modelling, survey work and a Monte Carlo modelling approach. Even under slow charging conditions, the case study results show asset overloading and electricity production issues are incurred but they can be resolved through adopting the proposed strategy.