The operation model of a virtual power plant (VPP) that includes synchronous distributed generating units, combined heat and power unit, renewable sources, small pumped and thermal storage elements, and electric vehicles is described in the present research. The VPPs are involved in the day-ahead energy and regulation reserve market so that escalate their profi t by selling their generated power. This is formulated as an optimization problem with maximization of VPPs profi t subject to constraints of the VPP’s sources and storage, and VPP fl exibility limits. Also, uncertain nature of renewables output power, prices of the markets, electric vehicles parameters, and reserve parameters are taken into account. Then, uncertain parameters are properly modeled by incorporating the Unscented transformation (UT)-based stochastic optimization, and GAMS software is adopted to test the effi cacy of the presented approach so that the VPP’s operation and economic situation is suitably improved.