چكيده به لاتين
Today, the electricity industry is not only faced with providing resources to meet the energy demand of industries but also minimizing and reducing the impact that humans have on the environment in relation to the generation of this energy is another issue and Smart grids are the solution to this challenge, which is very profitable. For the consumer side, smart grids mean that they can intelligently manage their consumption to pay less during peak hours when energy is expensive, and for environmental experts, the grid means using It is a technology to help solve harmful climate change and avoid excessive carbon emissions, and for couriers in the electricity industry, it is a courier and smart decision-maker and provides accurate information about the state of the network.
In recent decades, due to the importance of environmental and economic issues, as well as the issue of urban traffic, the tendency of the rail transport industry has shifted to the electrification of railway systems, and given that Numerous and frequent is an important feature of the city train, regenerative braking energy provides great potential to reduce energy consumption in urban rail systems.
The purpose of this thesis is a framework for optimizing energy efficiency in smart stations that can charge electric vehicles and use renewable sources, recovery brakes, and storage systems. Based on the proposed model systematically from convex programming (CP) is used for fast and efficient optimization of decision variables and station energy storage system parameters taking into account different optimization time horizons, station battery prices, types, and modes of PEV control, station battery parameters and electricity cost.
Genetic (Ga), Particle swarm optimization (pso), and Gray Wolf (Gwo) algorithms are used to optimize the cost function and Equipment and reduce Power purchased from the grid . To evaluate the proposed management model, its performance evaluation on the Bahcelievler station on the Turkish metro line M1 is examined and the simulation results in the Matlab software environment confirm the accuracy of the proposed model as well as the cost reduction for this station.
