Aiming at the problems of peak load, voltage over-limit and light abandonment in distribution network caused by disorderly charging of electric vehicles and uncertainty of distributed photovoltaic output, this paper proposes a real-time self-optimization strategy suitable for wind and solar. Firstly, the self-optimization response model of EV and photovoltaic is constructed. Then, a self-optimization scheduling model that can effectively track the power regulation target of the distribution network, reduce the node voltage deviation, and reduce the utility loss of photovoltaic and electric vehicles is constructed. Then, based on the primal-dual gradient projection method, combined with the excitation feedback information provided by the self-optimization algorithm, the distributed self-optimization real-time response is iteratively realized. Simulation results show that the self-optimization algorithm has fast solution speed and can meet the needs of distribution network and load self-regulation at the same time.