Vegetation clearance planning for high voltage power transmission systems with light detection and ranging data

Thumbnail Image

URL

Journal Title

Journal ISSN

Volume Title

School of Engineering | Master's thesis

Authors

Date

2025-03-13

Department

Major/Subject

Geoinformatics

Mcode

Degree programme

Master's Programme in Geoinformatics

Language

en

Pages

40

Series

Abstract

Power distribution networks are increasingly vulnerable to disruptions caused by vegetation encroachment. Effective vegetation management is essential to maintaining network reliability, so prioritizing maintenance across vast networks poses significant challenges to identify high-risk segments efficiently. This thesis presents a framework for prioritizing vegetation management across powerline segments, utilizing a graph-based model where segments are represented as nodes and edges. Depth-First Search (DFS) and edge removal analysis were applied to assess the potential impact of segment failures on downstream households. Powerline segments were prioritized based on vegetation violations, and household impact, producing a ranked list to guide maintenance. Results demonstrate that graph theory combined with spatial analysis can enhance maintenance efficiency and network reliability. This framework provides utility companies with a data-driven tool to minimize vegetation-related risks, improve power stability, and increase customer satisfaction by focusing on critical segments.

Description

Supervisor

Tenkanen, Henrikki

Thesis advisor

Piiroinen, Rami

Keywords

vegetation clearance planning, efficiency, voltage power transmission systems, prioritizing, light detection and ranging data, momepy

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202505224003

Collections

[dipl] Insinööritieteiden korkeakoulu / ENG