Optimization of bearing capacity of distribution network with wide access of electric vehicles and distributed generation

The large-scale access of electric vehicles and photovoltaics to the power grid has a significant impact to the Safety, stability and economy of the distribution network operation. According to the main factors that introduce volatility and instability to the distribution network., this paper examines the charging behaviors of electric vehicles, and establishes a photovoltaic output and electric vehicle load model on typical days. In addition, the co-evolutionary algorithm is used to maximize the photovoltaic access capacity on the basis of minimizing the network loss as much as possible, in order to determine the optimal location of photovoltaic access.

Authors

Institutions

Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155805
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of bearing capacity of distribution network with wide access of electric vehicles and distributed generation

Qichao Li, Yibo Wang, Kai Hou
Electric Vehicles and Infrastructure
article

Optimization of bearing capacity of distribution network with wide access of electric vehicles and distributed generation

Qichao Li, Yibo Wang, Kai Hou
article en

Abstract

The large-scale access of electric vehicles and photovoltaics to the power grid has a significant impact to the Safety, stability and economy of the distribution network operation. According to the main factors that introduce volatility and instability to the distribution network., this paper examines the charging behaviors of electric vehicles, and establishes a photovoltaic output and electric vehicle load model on typical days. In addition, the co-evolutionary algorithm is used to maximize the photovoltaic access capacity on the basis of minimizing the network loss as much as possible, in order to determine the optimal location of photovoltaic access.

China Shenhua Energy (China) (CN)
Openalex Percentile: Top 76%
Electric Vehicles and Infrastructure
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.