Maintenance decision optimization method for 220 kV side of substations considering transmission-distribution coordination

This paper proposes a maintenance decision optimization method for the 220 kV side of substations that considers transmission-distribution coordination. The method addresses the transmission congestion risks that arise from power flow redistribution during substation maintenance outages. A two-level optimization framework is developed, incorporating transmission network maintenance transition scheme generation based on power transfer and connectivity matrices, and high-voltage distribution network reconfiguration based on composite minimal paths. A transmission congestion control model is established to describe the interaction mechanism between transmission and distribution networks during maintenance transitions. The decision optimization process integrates three risk indicators: load loss risk, voltage violation risk, and transmission line overload risk. The comprehensive risk assessment enables optimal selection of maintenance transition schemes for 220 kV substation maintenance scenarios.

Authors

Institutions

Publication Details

Journal
Energy Reports
Published
2026-06-27
DOI
https://doi.org/10.1016/j.egyr.2026.109481
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maintenance decision optimization method for 220 kV side of substations considering transmission-distribution coordination

Dehong Liu, Yuan Chen, Chaoyan Huang, Na Hu
Energy Reports
Power System Reliability and Maintenance
article

Maintenance decision optimization method for 220 kV side of substations considering transmission-distribution coordination

Dehong Liu, Yuan Chen, Chaoyan Huang, Na Hu
article en

Abstract

This paper proposes a maintenance decision optimization method for the 220 kV side of substations that considers transmission-distribution coordination. The method addresses the transmission congestion risks that arise from power flow redistribution during substation maintenance outages. A two-level optimization framework is developed, incorporating transmission network maintenance transition scheme generation based on power transfer and connectivity matrices, and high-voltage distribution network reconfiguration based on composite minimal paths. A transmission congestion control model is established to describe the interaction mechanism between transmission and distribution networks during maintenance transitions. The decision optimization process integrates three risk indicators: load loss risk, voltage violation risk, and transmission line overload risk. The comprehensive risk assessment enables optimal selection of maintenance transition schemes for 220 kV substation maintenance scenarios.

Energy ReportsVol. 16
Wuhan University of Technology (CN), Wuhan University (CN)
Climate action
Openalex Percentile: Top 7%
Power System Reliability and Maintenance
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.