Distribution network development planning considering the optimal location of electric vehicle charging stations

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Distribution network development planning considering the optimal location of electric vehicle charging stations

ارائه دهنده: Provider: ali rahimi

اساتید راهنما: Supervisors: Dr. Alireza Hatami

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: Dr. Mohammad Hasan Moradi- Dr. Mohammad Mehdi Shahbazi

زمان و تاریخ ارائه: Time and date of presentation: 2024

مکان ارائه: Place of presentation: 30

چکیده: Abstract: In recent years, due to the energy crisis, the use of alternative solutions for transportation systems has become very important. Using electric cars is one of these solutions. However, the use of electric vehicles also faces challenges. Renewable energy sources can improve the technical and economic parameters of the microgrid. In this thesis, in order to overcome this problem and estimate the uncertainties of weather resources, we used the information of the previous year for the studied area, and we use probability distribution functions for renewable energy sources. Distribution network development planning is followed by the introduction of network components and their modeling in the modeling chapter. load model and formulation of the objective function, which is a multi-objective function; Accurately presented. Based on different variables, different parts of the objective function are formulated separately. At the end, the solution method which is based on genetic algorithm will be explained and analyzed. Simulation has been done in MATLAB software environment and using IEEE 33 bus network. The results showed that by planning the development of the network through the optimization of car charging stations, the losses will be significantly reduced and this happens while the losses have not undergone significant changes with the increase in the number of stations. The importance of this issue is determined when by building more stations, the access to the stations in the system can be improved geographically by increasing the number of stations in the network, and this ensures that the voltage profile and losses from this performance are negatively affected. are not placed On the other hand, the costs related to the system are completely dependent on the number of scattered production sources in the system, and any change in the status of the stations does not cause a change in this parameter. The efficiency of the proposed method is guaranteed in different designed scenarios.