Voltage sensitivity based site selection for PHEV charging station in commercial distribution system

Author(s):  
M. M. Rahman ◽  
S. Barua ◽  
S. T. Zohora ◽  
K. Hasan ◽  
T. Aziz
Author(s):  
Silvia Tasnim ◽  
Md. Jashim Uddin ◽  
Synthia Tahsin ◽  
Khairul Anam

— The penetration of Electric Vehicle (EV) on the distribution network has been increased worldwide and this has also boosted up the impacts on power system performance affecting voltage profile, voltage sensitivity factor, harmonics, overloading, increased grid loss resulting in reduced efficiency and power quality. A coordinated charging schedule can reduce this stress on the power grid and show significant improvement of network parameters. In this study, by simulating through Power Factory built-in MV/LV distribution test system, the impact of increasing EV on the distribution system has been analyzed and a simple approach of charging schedule for a centralized charging station has been proposed that will minimize the deteriorating impacts on connected distribution system due to EV charging.


2020 ◽  
Vol 62 (5) ◽  
pp. 658-666
Author(s):  
D. M. Imam ◽  
M. M. Hamed ◽  
M. F. Attallah

Author(s):  
Huang Yu Hsiang ◽  
Tseng Sheng Yuan ◽  
Ping Wang ◽  
Lin Wen Hui ◽  
Lin Hsiao Chung

2021 ◽  
pp. 1-18
Author(s):  
Mahima Poonia ◽  
Rakesh Kumar Bajaj

In the present work, the adjacency matrix, the energy and the Laplacian energy for a picture fuzzy graph/directed graph have been introduced along with their lower and the upper bounds. Further, in the selection problem of decision making, a methodology for the ranking of the available alternatives has been presented by utilizing the picture fuzzy graph and its energy/Laplacian energy. For the shake of demonstrating the implementation of the introduced methodology, the task of site selection for the hydropower plant has been carried out as an application. The originality of the introduced approach, comparative remarks, advantageous features and limitations have also been studied in contrast with intuitionistic fuzzy and Pythagorean fuzzy information.


2017 ◽  
Vol 36 (1) ◽  
pp. 14-26 ◽  
Author(s):  
Sanne A. M. Rijkhoff ◽  
Season A. Hoard ◽  
Michael J. Gaffney ◽  
Paul M. Smith

Although much of the social science literature supports the importance of community assets for success in many policy areas, these assets are often overlooked when selecting communities for new infrastructure facilities. Extensive collaboration is crucial for the success of environmental and economic projects, yet it often is not adequately addressed when making siting decisions for new projects. This article develops a social asset framework that includes social, creative, and human capital to inform site-selection decisions. This framework is applied to the Northwest Advanced Renewables Alliance project to assess community suitability for biofuel-related developments. This framework is the first to take all necessary community assets into account, providing insight into successful site selection beyond current models. The framework not only serves as a model for future biorefinery projects but also guides tasks that depend on informed location selection for success.


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