Structure Characteristics and Influencing Factors of Cross-Border Electricity Trade: A Complex Network Perspective

Pu, Ying; Wang, Yingzi

doi:10.3390/su13115797

Cited by 8 publications

(4 citation statements)

References 72 publications

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“…(1) The difference in the level of economic development between countries: The classical gravity model theory suggests a positive correlation between the size of trade between two countries and the size of the economy between countries [51]. Based on the theory of comparative advantage, countries import products with comparative disadvantages, develop industries with advantages, and export products with comparative advantages.…”

Section: Qap Analysis Methodsmentioning

confidence: 99%

Evolution Characteristics and Influencing Factors of Global Dairy Trade

et al. 2023

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There are imbalances and uncertainties in the global supply and demand of dairy products, owing to the adverse influence of overall economic changes, dairy prices, agricultural politics, the COVID-19 pandemic, and severe climate. This paper aims to explore the evolving characteristics and influencing factors of the global dairy trade pattern and make recommendations for the sustainable development of the global dairy trade. This paper studies the evolutionary characteristics of the global dairy trade pattern from the perspective of the overall structure, individual characteristics, and core–periphery structure through complex network analysis (CNA), using the countries involved in dairy trade from 2000 to 2020. Furthermore, this study explores the influencing factors of the dairy trade network using a quadratic allocation procedure (QAP). The results indicate that the global dairy trade network has been expanding, with prominent scale-free features and small-world characteristics. Individual countries display obvious heterogeneity, whereas the core import regions of the dairy shift from Europe, East Asia, and America to North America, the Middle East, and East Asia. Contrary to this, there is no significant change in the core export regions. Consequently, the entire dairy trade network represents a clear core–periphery structure. Moreover, the income per capita gaps, geographic distance gaps, and common language always affect the trade value and dairy trade relations across the countries. Meanwhile, economic level gaps and regional trade agreements have become increasingly significant. Thus, the dairy trade may not follow the “border effect”. Lastly, this paper also extends recommendations for the sustainable development of the dairy trade.

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Section: Qap Analysis Methodsmentioning

confidence: 99%

Evolution Characteristics and Influencing Factors of Global Dairy Trade

et al. 2023

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“…applied the more advanced Exponential Random Graph Models (ERGM) analysis method to explore the structural characteristics and evolution laws of crossborder power trading networks, as well as identify the factors influencing the formation of such networks. The research findings indicate a shift in the central position of the network from the West to the East, and that cross-border electricity trade can contribute to carbon dioxide emissions reduction, facilitate the transition to renewable energy, and mitigate the mismatch between electricity supply and demand [13].…”

Section: Introductionmentioning

confidence: 93%

“…Complex network analysis methods have been extensively employed to unveil the structural characteristics of complex systems [4][5][6][7][8][9][10]. Ji et al (2016) utilized complex network theory to examine the evolutionary structure and attributes of the international power trade network from 1990 to 2010.…”

Section: Introductionmentioning

confidence: 99%

The Spatiotemporal Changes of China's Inter-provincial Power Transmission Network from 2005 to 2020

Liu,

et al. 2023

IJE

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This study integrates the downscaling model of electricity production consumption, the balance equation of electricity inflow and outflow, and the actual connectivity between provincial power grids into a research framework, and develops a downscaling method for inter-regional power transmission data, thereby obtaining a complete inter provincial power transmission dataset. It was found that from 2005 to 2020, the source of power supply gradually shifted from the Central China Power Grid to the Southwest Power Grid. Sichuan, Yunnan, and some provinces in the southwest region have become important sources of electricity supply. The scale of power transfer from the source point and the scale of power transfer from the sink point are both showing an increasing trend, and the scale of inter provincial and inter regional power transmission is constantly expanding, resulting in a strengthening trend of the close density of network connections.

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“…Electricity can be freely exchanged inside each zone, with little or no concern for network restrictions. In cross-border trade, though, the interconnection capacity with other bidding zones is considered during the trading process [29].…”

Section: Coordinated Capacity Calculation For Cross-border Tradingmentioning

confidence: 99%

Coordinating Capacity Calculation via Electricity Market Coupling: Insights from the H2020 CROSSBOW Project

et al. 2022

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CROSS BOrder management of variable renewable energies and storage units enabling a transnational Wholesale market (CROSSBOW) is an EC-funded project, whose aim is to facilitate the shared use of energy resources by fostering cross-border management of variable renewable energies and storage units, enabling higher penetration of renewable energy sources (RES) whilst reducing network operational costs and improving economic benefits of clean energies and storage units. Towards these goals, CROSSBOW boosts regional cooperation among the system operators in Southeastern Europe (SEE), by deploying nine different tools to support the security coordination center (SCC) of the region. More specifically, the main CROSSBOW product, namely CROSSBOW Regional Operation Centre (CROSSBOW ROC) has proposed and demonstrated a set of functionalities for regional management and operation that enhance the existing regional structures, extending the capabilities of the already established Regional Security Coordinator (RSC) initiatives. Beyond enhancing RSC mandatory functions (including adequacy forecasts, coordinated security analysis, capacity calculations, and outage planning coordination), the ROC-BC product has developed new functions, linking the security considerations of involved TSOs with the operation of the fast-developing and harmonized electricity markets. In this paper, we investigate approaches for coordinated capacity calculation and cross-border trading via market coupling, developed within the ROC-BC product of CROSSBOW. Moreover, we present the final demonstration results as a part of ROC fundamental functionalities. Specifically, both net transfer capacity (NTC) and flow-based (FB) methods are examined and compared within a case study applying to the SEE region. The presented results demonstrate that the FB method exhibits better performance in all examined scenarios, considering three different key performance indicators (KPIs).

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Structure Characteristics and Influencing Factors of Cross-Border Electricity Trade: A Complex Network Perspective

Cited by 8 publications

References 72 publications

Evolution Characteristics and Influencing Factors of Global Dairy Trade

Evolution Characteristics and Influencing Factors of Global Dairy Trade

The Spatiotemporal Changes of China's Inter-provincial Power Transmission Network from 2005 to 2020

Coordinating Capacity Calculation via Electricity Market Coupling: Insights from the H2020 CROSSBOW Project

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