To enhance the system's peak-load management and the integration of wind (WD) and photovoltaic (PV) power, this paper introduces a distributionally robust optimization scheduling strategy for a WD–PV thermal storage power system incorporating deep peak shaving.. To enhance the system's peak-load management and the integration of wind (WD) and photovoltaic (PV) power, this paper introduces a distributionally robust optimization scheduling strategy for a WD–PV thermal storage power system incorporating deep peak shaving.. Energy storage (ES) can mitigate the pressure of peak shaving and frequency regulation in power systems with high penetration of renewable energy (RE) caused by uncertainty and inflexibility. Does peak shaving affect the power generation capacity of light-storage-hydrogen power. . The deep load reg-ulation involving pumped storages, which refers to deep peak regulation, is adopted to address the impact of wind power and photovoltaic (PV) uncertainties, thereby improving the economic efficiencies of day-ahead dispatching. And the impact of different peak valley electricity. . In the current context of energy transformation, this system helps achieve peak valley regulation and frequency modulation of the power network, improving the stability and security of a?| Because batteries (Energy Storage Systems) have better ramping characteristics than traditional generators. . With the continuous expansion of grid-connected wind, photovoltaic, and other renewable energy sources, their volatility and uncertainty pose significant challenges to system peak regulation. Engineered for efficient energy storage, it balances power grids, supports renewable energy integration, and provides backup power during. . To address the pressure on peak shaving of the power system resulting from the widespread integration of renewable energy to generate electricity with the "dual-carbon" objectives, an optimized configuration regulation method for energy storage systems (ESS) is proposed in this paper.
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