Grid technologies to increase the capacity of unbalanced low-voltage networks: a model-based approach to unlock flexible resources management and increase PV penetration
This paper introduces a novel network technology designed to address two paramount objectives for the Distribution System Operator. First, it proposes a comprehensive methodology that calculates the needed flexibility and orchestrates the operation of flexible resources within the network by adhering to technically and economically optimal strategies. Second, it presents a sophisticated tool for intelligently planning new photovoltaic connections in the network while identifying vulnerable areas that warrant network reinforcement. In pursuit of the first objective, this technology offers an accurate representation of Low Voltage network behaviour. Critically, it exhibits computational efficiency, ensuring real-time flexibility management and activation of operation strategies that are both technically and economically optimal. Concerning the second objective of intelligent planning, Distribution System Operators increasingly seek tools that empower them to generate maps depicting the nodal capacity growth potential for new connections within their networks. This involves precise insights into the Hosting Capacity of these connections, as well as supportive systems aiding in the strategic placement of new connections catering to generation, consumption, or a combination of both. The outcomes presented in this paper are derived from a meticulous analysis of real network topology data and meter readings obtained from a distribution network in southern Spain.
Authors
- Esther Romero-Ramos (ORCID: https://orcid.org/0000-0002-1873-2723)
- Rubén Carmona-Pardo (ORCID: https://orcid.org/0009-0008-5883-8988)
- Rafael Morán-Corbacho
- Álvaro Rodríguez-del-Nozal
Institutions
- Universidad de Sevilla (ES)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/icp.2024.1957
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00