Abstract: With the increasing proportion of large-scale photovoltaic integration into the power grid and the advancement of energy storage technology, the formation of hydro-photovoltaic-storage complementary scheduling based on cascade small hydropower in remote areas is a new development trend for the diversification of new power systems. Therefore, this article proposes a two-stage optimization short-term scheduling strategy for hydro-photovoltaic-storage considering remote areas. Firstly, the hydro-photovoltaic-storage system is modeled, in which the optimization of complementary power generation and output fluctuations is taken as the upper level objective; further, the photovoltaic grid connected consumption is upwards optimized and improved and complementary fluctuations are reduced. Then, based on the hybrid energy storage charging and discharging strategy, a lower level objective is established that includes the daily investment cost and operating cost of energy storage, further, the economic cost of energy storage is downwards optimized and reduced and the stable operation is ensured. The upper and lower layers optimize the complementary model economy, volatility, and energy storage allocation capacity through the NSGA-II algorithm, ideal point method, and linear weighted aggregation method. Finally, simulation calculations were conducted using K-means clustering in multiple scenarios after taking cascade small hydropower stations and its surrounding photovoltaic power stations in a remote area of Hunan Province as the research object. The results show that, while ensuring power generation, the fluctuation of water storage synergistic complementary output can be well regulated, and the most economical capacity configuration of mixed energy storage for each typical day is obtained, which verifies the rationality of this strategy.