In order to fully excavate the active support capability of distributed photovoltaic （PV） and energy storage system （ESS） and improve the economic benefits and power supply quality of the distribution network, a coordinated optimal strategy for day-ahead and intra-day operation of distribution network considering the active support distributed PV and ESS is proposed. Considering the dispatch cost risk caused by PV and load prediction error, the conditional value-at-risk （CVaR） method is used to quantify the cost risk. Day-ahead optimization model takes the minima of operation cost and cost risk of distribution network as the optimization objective, and formulates day-ahead optimization scheme to provide reference for intra-day optimization. The intra-day optimization model dispatches the active and reactive power of PV and ESS. The minimum weighted voltage deviation, the line loss and the active power deviation are taken as the optimization objective to improve the power supply quality of the distribution network to ensure the economy of intra-day operation as well as improve the quality of power supply in the distribution network. The proposed model is transformed into a two-order cone programming model which is easy to solve, and the proposed strategy is verified by an IEEE 33 node example. Results show that the proposed coordinated optimal strategy fully exploits the active support capability of PV and ESS, effectively reduces the operating cost of the distribution network, and has an obvious easing effect on the voltage violation problem.