on Decomposition for Optimal Placement of Distributed Generation and EV Fast Charging Stations in Distribution System-Reference-Cited by-同舟云学术

on Decomposition for Optimal Placement of Distributed Generation and EV Fast Charging Stations in Distribution System

Published:2024-06-20 Issue:2 Volume:12 Page:575-580
ISSN:2347-470X
Container-title:International Journal of Electrical and Electronics Research
language:en
Short-container-title:IJEER

Author:

Paravasthu Varun Krishna¹,Mallala Balasubbareddy²,Mangu B.³

Affiliation:

1. Research scholar, Department of Electrical Engineering, University college of engineering, Osmania university, Hyderabad, India

2. Professor, Department of Electrical and Electronics Engineering, CBIT Gandipet, Hyderabad, India

3. Professor, Department of Electrical Engineering, University college of engineering, Osmania university, Hyderabad, India

Abstract

An Enhanced multi-objective evolutionary optimization algorithm based on decomposition (E-MOEA-D) proposed for optimal placement of Distributed Generation (DG) and Electric Vehicle (EV) Fast Charging Station (FCS) in distribution system. The diversity of the evolutionary algorithm improves the convergence and diverse solution in the process of evolutionary optimization. The proposed algorithm is improved using enhanced diversity algorithm, which yield diverse candidate solutions in population. The optimal placement of DGs and FCS are formulated using three objective functions as i) Active power loss ii) Voltage deviation iii) DG cost. The proposed algorithm is simulated on IEEE-33 bus distribution system. The proposed algorithm is compared with other competitive multi-objective evolutionary algorithms such as decomposition based multi-objective evolutionary algorithm (MOEA-D) and Non-dominated sorting multi-objective evolutionary algorithm (NSGA-II).

Publisher

FOREX Publication

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