<p>The intrinsic variability of solar and wind energy, compounded by their rapid expansion, has intensified power curtailment challenges<sup><CitationRef CitationID="CR1">1</CitationRef>,<CitationRef CitationID="CR2">2</CitationRef></sup>. Although spatiotemporal complementarity between these resources is widely recognized as a pathway to enhance renewable integration and reduce balancing requirements<sup><CitationRef AdditionalCitationIDS="CR4 CR5 CR6 CR7 CR8 CR9 CR10 CR11 CR12 CR13 CR14 CR15" CitationID="CR3">3</CitationRef>–<CitationRef CitationID="CR16">16</CitationRef></sup>, existing assessments are largely based on hypothetical deployments<sup><CitationRef AdditionalCitationIDS="CR18 CR19 CR20 CR21 CR22 CR23" CitationID="CR17">17</CitationRef>–<CitationRef CitationID="CR24">24</CitationRef></sup>. Consequently, how solar–wind complementarity manifests under real-world infrastructure and shapes system-level integration outcomes remains unclear. Here we develop a unified national inventory to enable a data-driven assessment of solar–wind complementarity. The inventory covers 319,972 solar photovoltaic facilities and 91,609 wind turbines in 2022, identified from sub-metre satellite imagery using a deep-learning-based framework. Using this dataset, we show that solar–wind complementarity substantially reduces generation variability, with effectiveness increasing as the geographic scope of pairing expands. At the system level, nationwide inter-provincial coordination raises effective renewable penetration by 99.88 TWh in an 80% dispatchable-flexibility system, corresponding to 9.1% of total solar and wind generation, or approximately 120 h of national average load. These findings demonstrate that energy complementarity is a scalable, system-wide mechanism for advancing solar and wind penetration, offering broadly applicable insights into the role of inter-regional coordination in enhancing renewable integration in large power systems.</p>

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Advancing solar and wind penetration in China through energy complementarity

  • Yuan Hu,
  • Hou Jiang,
  • Chuan Zhang,
  • Jianlong Yuan,
  • Mengting Zhang,
  • Ling Yao,
  • Qiang Chen,
  • Jichao Wu,
  • Hualong Zhang,
  • Subin Ma,
  • Xiang Li,
  • Weiyu Zhang,
  • Quanhua Dong,
  • Congcong Wen,
  • Gege Yin,
  • Fan Zhang,
  • Chaohui Yu,
  • Zhijun Jin,
  • Yu Liu

摘要

The intrinsic variability of solar and wind energy, compounded by their rapid expansion, has intensified power curtailment challenges1,2. Although spatiotemporal complementarity between these resources is widely recognized as a pathway to enhance renewable integration and reduce balancing requirements316, existing assessments are largely based on hypothetical deployments1724. Consequently, how solar–wind complementarity manifests under real-world infrastructure and shapes system-level integration outcomes remains unclear. Here we develop a unified national inventory to enable a data-driven assessment of solar–wind complementarity. The inventory covers 319,972 solar photovoltaic facilities and 91,609 wind turbines in 2022, identified from sub-metre satellite imagery using a deep-learning-based framework. Using this dataset, we show that solar–wind complementarity substantially reduces generation variability, with effectiveness increasing as the geographic scope of pairing expands. At the system level, nationwide inter-provincial coordination raises effective renewable penetration by 99.88 TWh in an 80% dispatchable-flexibility system, corresponding to 9.1% of total solar and wind generation, or approximately 120 h of national average load. These findings demonstrate that energy complementarity is a scalable, system-wide mechanism for advancing solar and wind penetration, offering broadly applicable insights into the role of inter-regional coordination in enhancing renewable integration in large power systems.