Answers are grounded in this paper and cite their sources.
Demonstrates improved supply reliability in low-voltage distribution networks, highlighting effective management strategies.
Low-voltage distribution networks (LVDNs) in urban and semi urban areas face increasing challenges in maintaining supply reliability due to limited automation, growing demand, and high penetration of distributed energy resources (DERs). This paper proposes a coordinated framework for supply restoration, demand management, and DER control using a novel multi parameter optimization framework with a priority-based objective function and real-time smart meter data. The approach integrates essential and non-essential load separation, smart field devices, and coordinated control strategies to enable adaptive network operation under normal and contingency conditions. The framework is evaluated using a modified IEEE 33 bus-based LVDN model with data derived from real smart meter measurements from a Sri Lankan LVDN. Results demonstrate that restoration time is reduced from approximately 2.5 h to a few minutes through automated switching. In addition, selective curtailment of non-essential loads improves service continuity, while coordinated DER control mitigates voltage rise under high photovoltaic penetration. A quantitative comparison confirms significant reductions in energy not served (ENS) and associated economic costs based on Public Utilities Commission of Sri Lanka values. The proposed framework provides a practical and scalable solution for enhancing reliability and enabling advanced distribution management in modern LVDNs.
No takes yet. Share an insight, caveat, or question.
Dissanayaka et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: