Assessment of flexible interconnection strategies for the integration of electric vehicles and renewable energy in load-centric distribution networks

Flexible interconnection devices (FIDs) significantly enhance the regulation and management of complex power flows in distribution networks. Voltage source converter (VSC)-based FIDs, in particular, are pivotal for increasing system reliability and operational efficiency. These devices are crucial in supporting the extensive incorporation of electric vehicles (EVs) and renewable energy sources (RESs) into new, load-centric environments. This study evaluates four unique FID-based configurations for distribution network interconnections, revealing their distinctive features. We developed a comprehensive evaluation framework and tool by integrating the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE), which includes five key performance indicators to assess these configurations. The study identifies the optimal application scenarios for each configuration and discusses their roles in enabling the seamless integration of EVs and RESs. The findings provide essential insights and guidelines for the design and implementation of adaptable, interconnected distribution networks that are equipped to meet the growing demands of future urban environments.

Authors

Institutions

Publication Details

Journal
Global Energy Interconnection
Published
2025-05-19
DOI
https://doi.org/10.1016/j.gloei.2025.04.001
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of flexible interconnection strategies for the integration of electric vehicles and renewable energy in load-centric distribution networks

Min Guo, Kun Cui, Peiqian Guo, Liming Wang et al.
1 citations
Global Energy Interconnection
Microgrid Control and Optimization
1.21
article

Assessment of flexible interconnection strategies for the integration of electric vehicles and renewable energy in load-centric distribution networks

Min Guo, Kun Cui, Peiqian Guo, Liming Wang, Guowei Liu, L. Y. Xin, H. L. Dai
article en
1 citations

Abstract

Flexible interconnection devices (FIDs) significantly enhance the regulation and management of complex power flows in distribution networks. Voltage source converter (VSC)-based FIDs, in particular, are pivotal for increasing system reliability and operational efficiency. These devices are crucial in supporting the extensive incorporation of electric vehicles (EVs) and renewable energy sources (RESs) into new, load-centric environments. This study evaluates four unique FID-based configurations for distribution network interconnections, revealing their distinctive features. We developed a comprehensive evaluation framework and tool by integrating the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE), which includes five key performance indicators to assess these configurations. The study identifies the optimal application scenarios for each configuration and discusses their roles in enabling the seamless integration of EVs and RESs. The findings provide essential insights and guidelines for the design and implementation of adaptable, interconnected distribution networks that are equipped to meet the growing demands of future urban environments.

Global Energy InterconnectionVol. 8(3)
Shenzhen Stock Exchange (CN), University Town of Shenzhen (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 21%
Microgrid Control and Optimization
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.