International Journal of Smart Grid and Clean Energy Study on Multi-Level Layout Planning of Electric Vehicle Charging Stations Based on an Improved Genetic Algorithm

نویسندگان

  • Maojing Jin
  • Ruifeng Shi
  • Ning Zhang
  • Yang Li
چکیده

Electric vehicle charging stations are essential infrastructure in developing electric vehicles. In order to construct reasonable amount of electric vehicle charging stations with proper locations, a mathematical multi-level layout planning model, which aims at minimizing the initial construction investment and the users’ charging cost simultaneously, is employed in this paper. An improved genetic algorithm that takes an order based crossover operator, random mutation operator and meta-heuristic vehicles’ allocation strategy is proposed to solve the planning problem. In order to evaluate the performance of the proposed algorithm, a case study is taken for verification and validation. Empirical results show that our proposed algorithm outperforms current result of the other algorithms, which demonstrates the effectiveness of the proposed algorithm on solving multi-level electric vehicles’ charging station layout planning problems.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A mathematical model for the electric vehicle routing with time windows considering queuing system at charging stations and alternative paths

Due to many damages that human activities have imposed on the environment, authorities, manufacturers, and industry owners have taken into account the development of supply chain more than ever. One of the most influential and essential human activities in the supply chain are transportation which green vehicles such as electric vehicles (EVs) are expected to generate higher economic and enviro...

متن کامل

A Novel Intelligent Energy Management Strategy Based on Combination of Multi Methods for a Hybrid Electric Vehicle

Based on the problems caused by today conventional vehicles, much attention has been put on the fuel cell vehicles researches. However, using a fuel cell system is not adequate alone in transportation applications, because the load power profile includes transient that is not compatible with the fuel cell dynamic. To resolve this problem, hybridization of the fuel cell and energy storage device...

متن کامل

Energy cost minimization in an electric vehicle solar charging station via dynamic programming

Environmental crisis and shortage of fossil fuels make Electric Vehicles (EVs) alternatives for conventional vehicles. With growing numbers of EVs, the coordinated charging is necessary to prevent problems such as large peaks and power losses for grid and to minimize charging costs of EVs for EV owners. Therefore, this paper proposes an optimal charging schedule based on Dynamic Programming (DP...

متن کامل

Optimal DC Fast Charging Placing And Sizing In Iran Capital (Tehran)

DC fast charging (DCFC) and optimal placing of them is a fundamental factor for the popularization of electric vehicles (EVs). This paper proposes an approach to optimize place and size of charging stations based on genetic algorithm (GA). Target of this method is minimizing cost of conversion of gas stations to charging stations. Another considered issue is minimizing EVs losses to find neares...

متن کامل

Optimal Siting and Sizing of Hybrid Energy Systems (PV-WT-CHP) and Electric Vehicle Charging Stations Simultaneously based on Game Theory Approach

This paper proposes a methodology for practical siting and sizing of Hybrid energy systems (HESs) consist of: wind turbine (WT), photovoltaic (PV) and combined heat and power (CHP) units. In this method, the interaction of Plug-in Electric Vehicles (PIEVs) in the electric distribution system is considered. Electric Vehicle are seen to have some negative impacts on electric distribution system p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012