The research on PV aggregation scenarios is the basis and premise for realizing the joint planning of distributed PV and energy storage in regional power grids. It plays a significant role in promoting the full consumption of distributed PV in regional power grids. By analyzing the historical PV data based on the improved K-means++ algorithm aggregation， the typical PV output scenarios were generated. Starting from the distribution network economy， environmental protection and reliability， a PV and energy storage siting and capacity planning model considering the aggregation of photovoltaic scenarios was established. And an analytic hierarchy process （AHP） was introduced to transform the multi-objective optimization problem into a single-objective problem. The multi-objective optimization problem was transformed into a single-objective problem and solved by particle swarm optimization （PSO）. The results of the case study show that the proposed PV-scenario aggregation model more accurately depicts the uncertainty of PV output， verifying the effectiveness and feasibility of the model.