Holistic framework for real-world management of hosting capacity in low-voltage distribution networks

The increasing deployment of photovoltaic systems, electric vehicles, and other distributed energy resources introduces significant operational challenges in low-voltage (LV) unbalanced distribution networks. This paper presents a holistic and scalable framework for hosting capacity (HC) assessment and management, combining time-series Nodal Hosting Capacity (NHC) analysis with Monte Carlo Simulation (MCS) to evaluate generation and consumption limits under realistic, time-varying conditions. The methodology accounts for unbalanced network conditions. These include negative- and zero-sequence voltage unbalance and neutral current constraints. The framework is implemented as a performance-optimized, user-centered software tool for Distribution System Operators (DSOs). It offers high computational efficiency, dynamic visualizations, and an interactive interface to support decision-making. The impact of flexibility mechanisms, such as coordinated electric vehicle charging, is also demonstrated, showing their potential to reduce violations and enhance HC. The framework is validated on a real European LV network. It enables DSOs to manage HC as a dynamic operational resource, improving interconnection processes, network utilization, and planning transparency. • Holistic nodal hosting capacity tool models time-series network behaviors. • Monte Carlo stochastic HC models uncertainties in planning studies. • Software supports a full pipeline from data input to interactive visualization.