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.