Title :
Optimal placement and determine parking capacity of electric vehicles to improve VSM and congestion
Author :
Shariatpanah, Hamid ; Sabourikenari, M. ; Mohammadian, M. ; Rashidinejad, Masoud
Author_Institution :
Fac. of Electr. Eng. & Comput., Kerman Grad. Univ. of Technol., Kerman, Iran
Abstract :
Nowadays, Electric vehicle parking (EVP) can be used as a distributed generation (DG) as an important opportunity. EVP is different with other DGs and can be used as a load or supplier, so it helps to flatten the grid load curve. Based on this matter optimal placement of EVP is an important matter. In this paper an optimal placement problem with considering multi-objective optimization is defined. Solving this problem, causes to improve some objects i.e. congestion, Voltage security margin (VSM), cost and voltage stability. To solve modeled optimization problem, an Elitist genetic algorithm optimization has been developed. This algorithm consists of continuous and discrete sections, so in addition placement, the optimal capacity of the selected parking can be calculated. These results have been analyzed and evaluated in different conditions and modified IEEE 14-bus and 30-bus networks are used as cases study.
Keywords :
distributed power generation; genetic algorithms; power system security; EVP; IEEE 14-bus networks; IEEE 30-bus networks; VSM; congestion; distributed generation; electric vehicles; elitist genetic algorithm optimization; grid load curve; multiobjective optimization; optimal placement problem; optimization problem; parking capacity; voltage security margin; voltage stability; Batteries; Electric vehicles; Optimization; Power system stability; Random processes; Stability analysis; EVP; Optimal placement; VSM; congestion; elitist genetic algorithm; optimal capacity;
Conference_Titel :
Smart Grids (ICSG), 2012 2nd Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-1399-5
