Power Distribution Network Expansion and Location Optimization of Additional Facilities: A Case Study

Planning the power distribution network is critical and challenging; main challenges include multiple costs involved, selecting appropriate locations of different nodes at minimal cost, minimizing cost energy loss for both primary secondary networks. Literature on presents approaches, however, lacks to address several issues complex networks many aspects are yet be explored; example, uncertain loss. This study intends gaps in literature by proposing a four-phased approach. In doing so, first, an integer linear programming model formulated with objective minimization. Secondly, fuzzy variables used tackle parameters uncertainty; third phase, fine-tuned genetic algorithm (FT-GA) that uses Taguchi Orthogonal Array introduced solve mathematical model. It worth mentioning during design experiment, input crossover rate, elite count, population size. last pragmatic approach adopted Pakistan-based case validate proposed its implication real-life scenarios. The results exhibit our outperforms traditional methods like (GA) inter-point terms fitness function value, number generations, computational time. research contributes theoretical managerial levels may help decision-makers more efficiently cost-effectively Pakistan, Asia, beyond.