چكيده به لاتين
Abstract
In today's world, energy has a very determinative role and it is inevitable to optimize the energy consumption. Wider use of public transport, particularly rail and metro, is one way to save energy. A growing trend of applying the rail network and metro by governments in one hand and the considerable energy consumption of a train during one year on the other hand demonstrate the necessity of considering the consumed energy by train.
In this thesis, after reviewing the background of optimizing the energy consumption of train, Tabu Search (TS) algorithm as a new approach for optimizing the train speed profile with the aim of saving energy will be investigated. In this approach, after determining the appropriate points of acceleration, neural and braking, we will present a speed profile in which train could cover its route with minimum energy consumption. We call these points "the variables for changing the train strategy. In this study, the simulations of proposed method are implemented in MATLAB software and are finally compared with Genetic Algorithm method.
Keywords: optimal train speed profile, Tabu Search algorithm, optimization, Energy consumption
