Modelo de optimización multietapa para la planificación de la expansión de subestaciones del sistema de subtransmisión de la Empresa Eléctrica Regional Centro Sur C.A.

Abstract

The next degree work, presents the development and application of coordinated This degree work, presents the development and application of coordinated multi-stage model to solving substation expansion planning (SEP) with the purpose of determination service areas and implementation times substations expansion and construction projects so that it allows serve the increasing electricity load demand in accordance with certain technical and economic constraints. The objective function implemented for solving SEP takes into consideration: the installed and/or reinforced projects costs as well the installed and/or reinforced projects maintenance costs. To analyze the best alternative solution and its associated cost, this work uses the present value method. Moreover, to reduce calculation time, the algorithm has implemented different techniques among which the cluster analysis stands out, which objective is to group the load nodes to avoid the SEP process with large dispersed data sets (nodes load) and instead deal with cohesive groups (clusters) that allow to each one them generate a representative impact on the system. The objective function includes different electrical constraints such as power flow, changes to voltage level, maximum permissible loading of substations and radiality constraints. In addition, the algorithm also contemplates spatial and penalty factors that help to assignation and reduction clusters changes to other neighboring substations allowing to determine an optimal service area associated to different analysis substations. In order to establish relations between economic, technical and spatial aspects, this work uses Python, DIgSILENT, and ArcGIS software which the used together, generate a powerful tool for SEP and generally for any study that is attempt to be achieved. Finally, the model and algorithms proposed were implemented at the “Empresa Eléctrica Regional Centro Sur C.A” sub-transmission system, and the results showed that the methodology used is an effective tool in real and large-scale grids.