Power dispatch for integrating renewable energy: network reliability evaluation and transmission line routing

Driven by the increasing integration of renewable energy, power dispatch has become a critical task in high-voltage power systems (HPS). To ensure reliable operation of the HPS, it is essential to evaluate the transmission capability of the HPS and identify feasible transmission line routings that support effective dispatch decisions. In the HPS, power capacity should be multistate since the power generators and conductors may exist in states such as complete failure, partial failure, and maintenance. Therefore, the HPS is modeled as a multistate power grid network (MPGN) in this study, where power plants, substations, and transmission lines are represented by sources, vertices, and edges, respectively. Network reliability, defined as the probability that the MPGN can successfully transmit the required power to meet demand, is adopted to assess the performance of the HPS. A novel algorithm is proposed based on the concept of minimal paths to identify all minimal power vectors, which are used not only to calculate network reliability but also to determine feasible transmission line routings. To validate the practicality of the proposed algorithm, a real-world MPGN in Taiwan is demonstrated to measure the network reliability and observe transmission line routings. Results reveal that different MPVs offer varying trade-offs between utilization and redundancy of the MPGN, which provides the administrator with practical options for dispatch planning.

Authors

Institutions

Publication Details

Journal
Annals of Operations Research
Published
2026-01-08
DOI
https://doi.org/10.1007/s10479-025-07006-8
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Power dispatch for integrating renewable energy: network reliability evaluation and transmission line routing

T. C. Shih, Yi-Kuei Lin
Annals of Operations Research
Power System Reliability and Maintenance
article

Power dispatch for integrating renewable energy: network reliability evaluation and transmission line routing

T. C. Shih, Yi-Kuei Lin
article en

Abstract

Driven by the increasing integration of renewable energy, power dispatch has become a critical task in high-voltage power systems (HPS). To ensure reliable operation of the HPS, it is essential to evaluate the transmission capability of the HPS and identify feasible transmission line routings that support effective dispatch decisions. In the HPS, power capacity should be multistate since the power generators and conductors may exist in states such as complete failure, partial failure, and maintenance. Therefore, the HPS is modeled as a multistate power grid network (MPGN) in this study, where power plants, substations, and transmission lines are represented by sources, vertices, and edges, respectively. Network reliability, defined as the probability that the MPGN can successfully transmit the required power to meet demand, is adopted to assess the performance of the HPS. A novel algorithm is proposed based on the concept of minimal paths to identify all minimal power vectors, which are used not only to calculate network reliability but also to determine feasible transmission line routings. To validate the practicality of the proposed algorithm, a real-world MPGN in Taiwan is demonstrated to measure the network reliability and observe transmission line routings. Results reveal that different MPVs offer varying trade-offs between utilization and redundancy of the MPGN, which provides the administrator with practical options for dispatch planning.

Annals of Operations Research
Chaoyang University of Technology (TW), Asia University (TW), National Yang Ming Chiao Tung University (TW), National Chin-Yi University of Technology (TW)
Shanghai Educational Development Foundation, National Science and Technology Council
Affordable and clean energy
Openalex Percentile: Top 98%
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.