ياسمن درويش پور

The load of the electric railway is time-varying, this load change can create challenges for the power supply of the train an‎d requires the highest type of reliability. The use of auxiliary power sources is the proposed solution to overcome these challenges. The excessive penetration of renewable energies an‎d the increasing growth rate of energy consumers, especially in the electric transportation sector, increase the necessity of using renewable energy sources as a clean an‎d safe alternative to fossil fuels; therefore, maximum use of renewable resources an‎d reliability requires the design of a type of energy management system. In this research, a two-layer energy management system based on fuzzy logic is proposed to overcome the aforementioned challenges. The proposed fuzzy energy management system (FEMS) manages the power supply of the electric railway using a photovoltaic (PV) system, a storage system (battery) an‎d, taking into account the main grid, efficiently an‎d sustainably, in a DC microgrid. The electric railway load is simulated according to the train dynamics an‎d the energy required by the electric motor is requested from the FEMS. The first layer of the FEMS is responsible for tracking the maximum power point in the PV an‎d also checking the battery charging status an‎d maximum use of the battery health. The second layer of the FEMS, using fuzzy logic, tries to maximize the use of the hybrid network an‎d load balancing. In this research, the gravity search algorithm (GSA) has been used to track the maximum power output point of the solar array, an‎d the results obtained have been compared an‎d eva‎luated with other methods through analysis an‎d simulation. A lithium-ion battery cell has also been studied an‎d modeled in MATLAB software. The presented model is based on the equivalent circuit model of lithium-ion batteries. In addition, the Coulomb counting method was used to estimate the battery charging status. This method estimates the amount of remaining charge in it by measuring the current flowing through the battery. To determine the appropriate an‎d optimal size capacity of the battery storage system, an effective algorithm called Battery Sizing Algorithm (BSA) is used in this work. The results of this research show that the proposed FEMS can efficiently an‎d sustainably manage the power supply of electric railways using renewable resources an‎d the main grid.

ريزشبكه DC , سيستم مديريت انرژي , كنترلر منطق فازي , بار راه‌آهن برقي

fuzzy logic controller , energy management system , electric railway load , DC microgrid

Yasaman Darvishpour

Sayed Mohammad Mousavi-Ghazafroudi