Record Details

Techno-economic Study by Teaching Learning-based Optimization Algorithm for Optimal Placement of DG Units in Distribution Systems

NOPR - NISCAIR Online Periodicals Repository

View Archive Info
 
 
Field Value
 
Title Techno-economic Study by Teaching Learning-based Optimization Algorithm for Optimal Placement of DG Units in Distribution Systems
 
Creator C, Hari Prasad
Subbaramaiah, K
Sujatha, P
 
Subject Distributed generation location
Distribution radial system
Economic loss analysis
Loss mitigation
Simultaneous DG placement
 
Description 278-286
A significant improvement in system performance can be achieved by placing Distributed Generator (DG) units of the
optimal size in optimum network of radial distribution locations. In order to maximize the economic and technological
benefits, it is necessary to reduce yearly economic losses. These losses include expenditures associated with installation and
operation of the buses as well as power loss and voltage difference between buses. In view of these multi-objective
frameworks, the current problem is assessed and the best compromise solution also referred as the Pareto-optimal solution is
provided. In the framework of the multi-objective optimization problem, specific equality as well as inequality constraints is
investigated. It is shown in this study that a Multi-Objective Teaching-Learning Based Optimization (MOTLBO) algorithm
has been proposed to solve the multi-objective problem. For the purpose of evaluating its performance, the proposed method
is being deployed on IEEE-33 and IEEE-69 System of radial bus distribution. A comparison with other recent multiobjective
algorithms such as OCDE, KHA and LSFSA is also included in this study. It has been revealed that the algorithm
proposed can offer superior outcomes concerning power loss, annual economic loss mitigation and voltage profile
enhancement.
 
Date 2023-02-08T04:58:55Z
2023-02-08T04:58:55Z
2023-02
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/61355
https://doi.org/10.56042/jsir.v82i2.69935
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.82(02) [February 2023]