The penetration of plug-in-electric vehicles (PEVs) on the grid causes additional problems if they are not strategically scheduled for charging. Storage capacity of available PEVs can be utilized for grid ancillary support such as load flattening, voltage regulation and frequency regulation. In this work, an intelligent control strategy is developed for PEVs in order to mitigate power fluctuations caused by load demand and solar power together. The effect of PEV scheduling in coordination with energy storage units (ESU) is also analysed. An effort is made to reduce slack bus power deviations from specified value with maximum utilization of available PEV storage capacity. Day-ahead power demand and solar power generation during upcoming hours are considered while scheduling storage units (ESU and PEV). Fuzzy logic controller is implemented to decide power rate of storage units for optimal usage of PEV’s storage capacity. © 2019, Springer Nature Singapore Pte Ltd.