Dual-timescale scheduling approach for power systems with Energy-intensive loads: Wind power accommodation through forecast deviation decomposition and flexible resource coordination

Thermal power remains the central peak shaving resource in energy systems with high wind power penetration. Energy-intensive loads (EILs), with their substantial regulatory potential, can alleviate reliance on thermal power units. This paper presents a day-ahead and intra-day coordinated scheduling approach that includes EILs and energy storage systems and is designed to improve wind power utilization and smooth the output of thermal power units for better renewable energy integration. Two load control models were initially established using electric arc furnaces (EAFs) as prototypes. Subsequently, a multi-objective day-ahead scheduling model was formulated using the Analytic Hierarchy Process-Weighted Sum Method(AHP-WSM), with maximum wind power accommodation as the primary objective. Then, an intra-day scheduling strategy was developed to decompose forecast deviation curves, with high-, medium-, and low-frequency components assigned to energy storage, EAFs, and thermal power units, respectively. Finally, an eight-scenario case study was performed to validate the model’s accuracy. Compared to the baseline scenario, the proposed scheduling model significantly reduced wind curtailment by roughly 16%, the net-load peak–valley difference by 25%, and the standard deviation by 27%, with notable performance in load-spiking scenarios.