Abstract
<title>Abstract</title> <p>In response to the problem of wind and solar power curtailment caused by the high proportion of new energy grid connection, this paper proposes an integrated multi-time-scale collaborative scheduling strategy of wind, solar, hydropower and storage considering the constraints of hydraulic coupling. Firstly, a multi-time-scale optimization framework combining day-ahead pre-scheduling and intraday rolling correction is constructed to utilize the rapid regulation capability of pumped storage power stations to smooth out fluctuations in wind and solar output [24]. Secondly, by introducing a dynamic correction time window and feedback correction mechanism, the rolling correction algorithm of Model Predictive Control (MPC) is improved, effectively reducing the sensitivity of the scheduling scheme to the source-load prediction deviation. Meanwhile, the model precisely depicts the hydraulic coupling constraints of cascade hydropower stations, incorporating the water flow lag effect and complex hydraulic connections into a unified optimization system to ensure the physical feasibility of the dispatching scheme in a hydraulic sense. The results of the calculation example show that this strategy reduces the combined curtailment rate of wind and solar power to 2.9%, significantly improving the economic operation of the system and the reliability of peak shaving. It can provide a theoretical basis and technical reference for the consumption of new energy in large-scale clean energy bases[16].</p>