Open Access

ARTICLE

Dynamic Correction-Based Multi-Time-Scale Joint Scheduling Strategy for Wind-Solar-Cascade Hydropower Systems

Wentao Huang, Yifan Lv^*, Xiaoyu Nie, Shunyi Wang, Penghui Yan, Hongwei Deng, Qinhua Chen
Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan, China
* Corresponding Author: Yifan Lv. Email:
(This article belongs to the Special Issue: Innovative Energy Engineering for Resilient and Green Systems)

Energy Engineering https://doi.org/10.32604/ee.2026.082734

Received 21 March 2026; Accepted 15 May 2026; Published online 08 June 2026

Abstract

To address multi-source uncertainty and the accumulation of deviations between day-ahead scheduling and intraday operation in wind–solar–cascade hydropower dispatch under high wind and photovoltaic penetration, this paper proposes a dynamically corrected multi-timescale coordinated scheduling strategy. The proposed strategy coordinates wind, solar, and hydropower resources through multi-scenario optimization in the day-ahead stage and rolling re-dispatch in the intraday stage. In the day-ahead stage, K-means clustering is used to generate representative scenario sets, optimize generation schedules, and allocate reserve capacity. In the intraday stage, the dynamic correction strategy adjusts the dispatch plan based on real-time data to improve consistency with actual operating conditions. In addition, root mean square propagation (RMSprop) and stochastic alternating direction method of multipliers (SADMM) are introduced to solve the proposed multi-timescale scheduling model for the wind–solar–cascade hydropower system. Case study results show that, in the High-flow period, compared with the conventional stochastic scheduling scheme, the proposed scheme reduces the daily total cost by 14.76%, increases the wind and solar power accommodation rate by 2.89%, and reduces the fluctuation rate of hydropower output by 55.81%. Compared with the deterministic scheduling scheme, the daily total cost and hydropower output fluctuation rate are reduced by 12.67% and 64.98%, respectively. In the low-flow period, compared with the conventional stochastic scheduling scheme, the daily total cost, external electricity purchase cost, and hydropower output fluctuation rate are reduced by 19.80%, 40.14%, and 51.64%, respectively. Moreover, RMSprop–SADMM shortens the solution time by 36.95% compared with the conventional stochastic scheduling scheme, demonstrating the economic performance, operational stability, and applicability of the proposed method for intraday rolling dispatch.

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Keywords

Wind-solar-hydro hybrid system; multi-timescale scheduling; dynamic correction; RMSprop–SADMM

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