A Practical Multi-Objective Zoning Optimization Method Applied on Electricity Distribution Network of Shiraz*

This study presents a comprehensive approach to zoning optimization for the electricity distribution network, employing clustering, hill-climbing, and genetic algorithms. The primary objective was to cluster feeders to make zones balanced based on some measures by developing an optimized zoning strategy. Five measures are selected by experts and each measure can be calculated for each feeder. The results demonstrate significant improvements in operational efficiency and provide a model for future zoning practices in urban electricity distribution networks. This work not only addresses the specific challenges of Shiraz’s electricity network as a case study but also offers insights and methodologies applicable to similar urban contexts.