Effects of large scale EV and PV integration on power supply systems in the context of Singapore

Electric vehicles (EVs) are a key technology to reduce dependency on oil imports as well as to diminish environmental effects of individual transportation. Especially in megacities like Singapore where travel distances are moderate, this new mode of transportation is often discussed as a future option. This paper investigates possible effects of large scale EV integration on the power supply system. A unit commitment model combined with an integrated approach for smart charging is used. The mixed-integer linear programming (MILP) formulated unit commitment algorithm cooptimizes energy, regulation, and spinning reserve power. The effects of different charging strategies on the power plant scheduling are analyzed. The power system infrastructure is kept at status quo in a baseline scenario and extended to future scenarios with intermittent photovoltaics (PV) power. Effects on power plants scheduling are evaluated by measuring resulting variable cost of electricity as well as CO₂-emissions. Moreover, effects of EVs providing regulation and spinning reserve by controllable charging are investigated.