PDF(3084 KB)
Transmission-Storage Collaborative Planning Method for the Bases in the Gobi and Desertification Land Accounting for UHVDC Transmission Characteristics
SUN Yiding, WANG Qianchen, XIE Chenzheng, GUO Guodong, LIU Dong, SUN Yingyun
Electric Power Construction ›› 2025, Vol. 46 ›› Issue (3) : 72-84.
PDF(3084 KB)
PDF(3084 KB)
Transmission-Storage Collaborative Planning Method for the Bases in the Gobi and Desertification Land Accounting for UHVDC Transmission Characteristics
Under the "Dual Carbon" goals， China is accelerating the construction of large-scale wind and solar power generation bases in the Gobi and desertification land. The inherent randomness and volatility of wind and solar power outputs introduce significant uncertainties and the risk of load shedding for the operation of the bases in the Gobi and desertification land and their external transmission systems. Traditional ultra-high voltage direct current （UHVDC） power curve formulation and transmission-storage collaborative planning methods are inadequate for the power delivery from the bases in the Gobi and desertification land. Therefore， this paper proposes a typical UHVDC transmission power curve set construction method firstly， addressing the uncertainty of wind and solar power output. Furthermore， this paper introduces a system load shedding risk quantification index that based on conditional value-at-risk （CVaR） theory and develops a transmission-storage collaborative planning model tailored to the bases in the Gobi and desertification regions. Finally， a case study is conducted on the wind-solar-thermal-storage integrated power generation base in the Gobi and desertification land. The results demonstrate that the proposed method effectively accommodates diverse wind-solar output scenarios and maximizes the renewable energy utilization， thereby validates the feasibility and effectiveness the proposed approach.
bases in the Gobi and desertification land / UHVDC / transmission power curve / theory of CVaR / transmission-storage collaborative planning
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