After Diversity Maximum Demand Enabled Congestion and Constraint Analyses for Distribution Transformers

This paper analyses low voltage (LV) networks using After Diversity Maximum Demand (ADMD) to assess and address operational challenges such as transformer overload, network congestion, and voltage constraints. Utilizing data from Horizon Networks, the paper conducts congestion and constraint analyses for high-risk transformers under various future scenarios. The analyses, which are performed using PowerFactory, identify potential bottlenecks and operational limits in LV networks to inform future grid development and investment decisions. The results demonstrate that while network congestion may not pose an immediate threat, voltage constraints, especially in longer LV feeder runs, represent a significant risk by 2050. Mitigating these risks through optimizing ADMD-based planning is crucial for ensuring a sustainable and reliable power supply in the face of growing electrification demands. Recommendations for network enhancements and further research into smart meter data integration for validating ADMD assumptions are also discussed.