An interconnected panorama of future cross-regional power grid: A complex network approach. (August 2020)

• Record Type: Journal Article
• Authors: Nie, Yan; Zhang, Guoxing; Duan, Hongbo
• Is Part Of: Resources policy. Volume 67(2020)
• Publication Date: 2020-08
• Subjects: Cross-regional interconnected power grid -- Evolutionary influencing factors -- Complex network characteristics -- Evolutionary modelling; Mines and mineral resources -- Periodicals; Ressources minérales -- Périodiques; Ressources naturelles -- Gestion -- Périodiques; Environnement -- Politique gouvernementale -- Périodiques; 333.8
• DOI: 10.1016/j.resourpol.2020.101692
• Languages: English
• ISSNs: 0301-4207

Abstract

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. Highlights: An evolutionary model is constructed by integrating security-economic constraints and complex network theory. The evolutionary law of cross-regional interconnected power grid (CRIG) is revealed at the network development level. The evolutionary trend of future CRIG is identified based on proposed evolutionary model.