Optimal location and sizing of HV/MV substations in uncertainty - load environment using genetic algorithm

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 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. (C) 2002 Elsevier Science B.V. All rights reserved.