Modified Minimum Spanning Tree for Optimised DC Microgrid Cabling Design

The construction of low-cost nanogrids could help speed up the electrification rate in remote communities sub-Saharan Africa. One challenges nanogrid design for these is uncertainty future load demand profiles impacting cabling topology. We propose two new wiring approaches radial direct current power distribution systems. first one a modified minimum spanning tree (MST) algorithm and second an adaptive shuffled frog leaping (SFLA). Their objective to identify optimal cable path lowest cost characteristics electrify rural areas with poor infrastructural development. A comparative study computation burdens has shown applicability limits relative SFLA based approach encouraged implementation MST as it faster does not imply any limitation regarding number dwellings electrify, while providing option. latter applied village located Kenya demonstrated more than 25% savings on entire system compared classical shortest-path calculation.