With a rapid increase in the share of wind and solar renewable energy in a power system

a critical challenge is how to enhance the system’s regulatory flexibility and clean energy accommodation through implementing multi-energy complementarity. This paper presents a storage variation representation method for quantifying the energy consumed by the hydropower station reservoirs

to demonstrate the long-overlooked issue－hydropower generation costs that is significant in long-term time-series production simulations of a multi-energy complementary system. Based on this

we construct a simulation model of time-series production with multi-energy complementarity

aiming to minimize the total system cost while considering hydropower generation-consumed energy

and proposes a multi-timescale method for its solution. Case study demonstrates that our model reduces this type of consumption by 37.42%

enhancing long-term hydropower output sustainability significantly

while lowering the loss of load probability by 34.31% and reducing the thermal power operating cost by 14.11%

thereby reducing the system’s need for thermal power regulation. This study helps ensure a reliable

economical

and low-carbon coordinated operation of new-type power systems.