Load evolution for power system distribution planning studies: an approach using spatial disorder

Load evolution is one of the most important factors during the long-term power system distribution planning studies. A correct characterization of the load evolution is fundamental for the success of electrical market growth management. This evolution can be affected by different kinds of problems and situations. For instance, social demographic evolution in time and space, geographic profiles, and economical developments are some aspects that must be considered during the long-term planning process. This paper presents a computational program for load evolution characterization in order to show the load spatial distribution in each time of planning. This program is based on one-dimensional spatial disorder ideas and allows the users to verify the evolution of the load and to interfere with this evolution process. This program includes routines for pattern localization based on the concept of composite strong attraction, which allows to model what kind of disorder (order) will be generated. Possible input data are: value of the field where the pattern is located, distance among two patterns, density of the pattern, attraction value modeled randomly, initial number of points, and number of iterations