Work

Enhancing monitoring of unobserved low voltage grids: an application case study of neural network based state estimation

Year: 2025

Type: conference-paper

Abstract: It is not uncommon nowadays to find portions of low voltage distribution networks which are unobserved, meaning not monitored by the system operator. To support the growing penetration of renewable energy, proper monitoring and control of low voltage grids is essential. However, deploying a large quantity of measurement devices is not economically viable. Therefore, innovative cost-effective methods are needed to address this challenge. This paper shares the experience gained from applying a three-phase neural network-based state estimator in a real low voltage setting with limited input measurements and topology data.

Source: IET conference proceedings.

DOI: 10.1049/icp.2024.1997

Authors: Andrea Bragantini, Andreas Sumper, Apostolos Nasiou, Natalia Fano, Ramon Gallart

Institutions: Universitat Politècnica de Catalunya, Intracom Telecom (Greece)

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: green

Funders: European Commission, Institució Catalana de Recerca i Estudis Avançats