Abstract: More and more renewable energy sources (RESs) and electric vehicles (EVs) have become part of the distribution network due to their rapid development and considerable environmental benefits. Because of the randomness and uncertainty of renewable energy and EVs, the electric power characteristics have been changed and the active power losses are increased, which decreases the safety and economics of the distribution network. Therefore, energy storage (ES) is given significant attention for regulating system power in order to make the network more economical. In this paper, the operational schedule optimization model of ES and EVs in the distribution network with RESs was proposed to diminish losses, improve voltage profile and maximize the benefits of the ES's or EVs' aggregator. In order to obtain the optimal schedule, three constraint strategies based on the particle swarm optimization (PSO) algorithm were proposed, including dead-time constraint, charging and discharging cycles constraint, and charging and discharging power optimization. Finally, a simulation of an IEEE 33-node distribution network was carried out to examine the effectiveness of the proposed approach. The results show that the network losses are reduced while the operating cost of the battery is decreased by using the method proposed in this paper.