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An interconnected panorama of future cross-regional power grid: A complex network approach

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  • Nie, Yan
  • Zhang, Guoxing
  • Duan, Hongbo

Abstract

The cross-regional interconnected power grid (CRIG), leading the development of our country, has a complex and lengthy evolution process that is influenced by numerous factors. It is an enormous challenge to propose a model that analyzes the evolution of CRIG. Therefore, the main objective of this study is to explore the evolutionary characteristics of CRIG by developing a complex network model. The results show that policy guidance has a significant impact on the evolution of China's CRIG and that given this influence, the degree of CRIG distribution will have an “edge-multi-core” shape and the network density will show an inverted “N” curve shape. In addition, we analyze the development trends in China's, which will achieve a “simpler” construction, namely, the levels of CRIG connections and the “community effect” will gradually fade over the CRIG evolution. Finally, we believe that renewable energy and micro-grid and electricity markets are the direct cause of structural changes occurring in China's CRIG. More attention should be paid to the security and coordination of cross-regional power grids to achieve interconnections in the future.

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  • Nie, Yan & Zhang, Guoxing & Duan, Hongbo, 2020. "An interconnected panorama of future cross-regional power grid: A complex network approach," Resources Policy, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:jrpoli:v:67:y:2020:i:c:s0301420719305914
    DOI: 10.1016/j.resourpol.2020.101692
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    1. Wang, Di & Zhang, Zhiyuan & Yang, Xiaodi & Zhang, Yanfang & Li, Yuman & Zhao, Yueying, 2021. "Multi-scenario simulation on the impact of China's electricity bidding policy based on complex networks model," Energy Policy, Elsevier, vol. 158(C).

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