With the rapid development of photovoltaic and electric vehicles (EVs)

the security and economical operation of power systems is drawing greater attention

while research on energy management is beneficial to its stable and efficient operation. According to energy management of microgrids considering EVs and photovoltaic (PV)-energy storage in the grid-connected mode

the energy characteristics and the method of power calculation of EVs considering each EV’s state of charge (SOC) are studied first. A strategy with the power of PV and EVs

the period division of time of use price and the SOC of energy storage taken into account is then proposed. On this basis

an energy management model is developed to reduce the operation cost

while the power of EVs is used as optimization variables. The method based on the hybrid genetic algorithm and particle swarm optimization (GAPSO) algorithm is used for solution. Finally

the simulation results of an example show the effectiveness and feasibility of the proposed model. This work is supported by International S&T Cooperation Program of China (No. 2013DFA60930) and Fundamental Research Funds for the Central Universities (No. 2010JBZ002).