The permeability of distributed generations is mainly affected by source-load random volatility and grid-connected capacity of energy storage battery. A multi-objective optimal model which considers the technology, economy and environmental protection of source-storage-load is established. Probabilistic power flow is used to simulate the uncertainty of wind force, and the Monte Carlo method based on Latin hypercube sampling is used to calculate the uncertainty. In order to solve the multi-objective and multi-constraint problem of the model, the improved flower pollination algorithm is adopted to optimize the model. The efficiency and the ability of searching for optimization are improved by introducing the pollination acceleration factor and genetic adaptive factor. The multi-objective optimal planning and operation regulation strategy of source-storage-load is obtained by simulation. The accumulative evaluation index of voltage is established according to the optimal result. The results show that the multi-objective mathematical model and the proposed method are correct and feasible. This work is supported by National Natural Science Foundation of China (No. 51377017) and Science and Technology Project of State Grid Liaoning Electric Power Company Ltd. (No. 2018YF-21).