Abstract: Complementarity analysis of various energy sources is a basis for scientific planning of large wind power and photovoltaic bases. In this paper, a complementary evaluation index system based on a volatility description is formulated, and a multi-time scale analysis of the complementarity of hydropower, wind power and photoelectric is made for the study area: a hydropower, wind power and photoelectric-integrated clean energy base in the lower reaches of the Jinsha River. The results show that the power distribution trends of wind power and photovoltaic power-obtained from Greenwich and PhotoVoltaic Geographic Information System（PVGIS）-agree with the measured sequence, which have high reliability. The complementarity of wind power and photovoltaic is weak, and its probabilities are only 25.5%, 0.0% and 37.2% in intra-day, intra-year and inter-year scales, respectively. Runoff, wind power and photovoltaic are highly complementary, and the probabilities raise to 46.5%, 100.0% and 53.5% in the three scales, respectively.