WANG Bangyan, ZHANG Mingzhe, WANG Xiuli, et al. Long- and short-term energy storage planning for wide-area wind-solar transit and delivery systems based on source-load spectrum decoupling[J]. 2026, 59(9): 146-158.
WANG Bangyan, ZHANG Mingzhe, WANG Xiuli, et al. Long- and short-term energy storage planning for wide-area wind-solar transit and delivery systems based on source-load spectrum decoupling[J]. 2026, 59(9): 146-158.DOI: 10.11930/j.issn.1004-9649.202605007.
Long- and short-term energy storage planning for wide-area wind-solar transit and delivery systems based on source-load spectrum decoupling
Large-scale development of wind and solar resources in Gobi-desert-barren land areas of Northwest China presents significant challenges to the grid integration of wide-area renewable energy. Supplying flexible resources and realizing bundled delivery via a transit power grid is considered the most practical solution. Focusing on the long- and short-term fluctuations of wide-area wind and solar power and flexibility requirements at different scales
this paper investigates the optimal planning of long- and short-term energy storage. First
a cost-frequency characteristic model for long- and short-term energy storage is established to quantitatively characterize the performance of pumped storage and electrochemical storage and clarify their respective roles. Based on the spectral characteristics of the net load
a source-load spectrum decoupling method is adopted for analysis to distinguish high-frequency and low-frequency ranges and extract typical frequency components. Second
a scenario temporal reconstruction method following source-load spectrum decoupling is proposed. In addition to daily scenarios
a scenario cycle model dominated by low-frequency components is constructed. Third
a system model considering input
delivery cross-section
and transmission channel constraints is established. By incorporating the medium- and long-term demand curves and performance requirements of the receiving-end grid
a multi-timescale operation simulation model for the transit grid is developed
and further an optimal planning model for long- and short-term energy storage is formulated. A case study is conducted on an actual provincial-level system in Northwest China. The results demonstrate that the source-load spectrum decoupling method can effectively identify the core high- and low-frequency components within the net load time-series; long- and short-term energy storage complement each other and are indispensable for mitigating large-scale wind-solar fluctuations; compared with the direct outward delivery of wide-area wind and solar power
the bundled delivery approach via a transit grid yields significantly greater benefits.