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Brno University of Technology, Czech Republic

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Brno University of Technology, Czech Republic

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National Taiwan University of Science and Technology, Taiwan, Province of China

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Institute of Medical Technology and Equipment, Poland

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VSB - Technical University of Ostrava, Czech Republic

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Academy of Sciences of the Czech Republic, Czech Republic

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University of Defence, Czech Republic

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Technical University of Radom, Poland

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Technical University of Kosice, Slovakia

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Hongik University, Korea

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Buryat State University, Russia

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Ton Duc Thang University, Vietnam

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Ca’ Foscari University of Venice, Italy

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University of New Haven, United States of America

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Ton Duc Thang University, Vietnam

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VSB - Technical University of Ostrava, Czech Republic

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Wroclaw University of Science and Technology, Poland

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The University of Edinburgh, United Kingdom

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Guanajuato University, Mexico

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Technical University of Cluj Napoca, Romania

Tran Trung Duy
Posts and Telecommunications Institute of Technology, Ho Chi Minh City, Vietnam

Xingwang Li
Henan Polytechnic University, China

Huynh Van Van
Ton Duc Thang University, Vietnam

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University of Pardubice, Czech Republic

Neeta Pandey
Delhi Technological University, India

Huynh The Thien
Ho Chi Minh City University of Technology and Education, Vietnam

Mauro Tropea
DIMES Department of University of Calabria, Italy

Gaojian Huang
Henan Polytechnic University, China

Nguyen Quang Sang
Ho Chi Minh City University of Transport, Vietnam

Anh-Tu Le
Ho Chi Minh City University of Transport, Vietnam

Phu Tran Tin
Ton Duc Thang University, Vietnam


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Meta Heuristic Algorithm Based Multi Objective Optimal Planning of Rapid Charging Stations and Distribution Generators in a Distribution System Coupled with Transportation Network

Vutla Vijay, Chintham Venkaiah, Vinod Kumar Dulla Mallesham

DOI: 10.15598/aeee.v20i4.4594


Abstract

The application of Electric Vehicles (EVs) is increasing in many countries, causing many researchers to focus on EV Rapid Charging Station (RCS) related issues. The optimal planning of RCS considering only distribution networks is not a reliable approach. Moreover, the RCS location should be convenient to the EV user in a given EV driving range and the performance of the distribution system. In this paper, a multi-objective approach for optimal planning of RCS and Distributed Generators (DG) in a distributed system coupled with a transportation network is analyzed. The proposed optimal planning method aims to achieve reduced active power loss, EV user costs, and voltage deviation for effective RCS and DG planning. The approach includes the analysis of the test system with the base case, solo planning of RCS, planning of DGs with fixed RCS, and simultaneous optimal planning of RCS and DGs. Daily load variation at buses and hourly charging probability of EVs have been used in the analysis. IEEE 33 bus distribution system superimposed with a 25-node transportation network is considered the test system. Rao 3 algorithm is applied for optimization, and the results have been compared with PSO and JAYA algorithms.

Keywords


Distributed Generator; distribution system; electric vehicle; Rao 3 algorithm; Rapid Charging Station.

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