Distribution substations, genetic algorithm, mobile substations, Monte Carlo simulation, reliability assessment, spare transformer, stock location
Abstract
This paper proposes a new approach based on genetic algorithm and chronological Monte Carlo simulation techniques, which are simultaneously applied to optimize the location of spare transformers (ST) and mobile substations (MS), among predefined substations of distribution grids with storage capacity. Given a certain number of ST and MS equipment planned per year, available to serve a set of distribution substations, the objective is to minimize the costs associated with power interruption, non-billing and equipment displacement due to transformer failures in operation. Based on the chronological characteristics of the probabilistic evaluation algorithm, the proposed method can model all waiting times inherent to system actions, for example: ST installation, MS connection, stock replenishment etc. A real system with different characteristics is used to illustrate the application of the proposed approach, allowing the analysis of the results obtained in different scenarios.
