In this paper a novel approach for optimal location, sizing and determining the service areas of HV/MV substations in a long-range planning period using pseudodynamic methodology is presented. Costs of equipment, areas, cables in MV side and power loss are considered in cost function. Uncertainty in loads is modeled using LR fuzzy numbers in load points. For optimization procedure, genetic algorithm (GA) with a new coding is used. Load points splitting in each area between substations and infeasibility solutions are considered in search procedure. Based on this, a software was developed and integrated into an optimization tool for substation allocation. The software was applied in many cases with satisfactory results.
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