Cover Image

Optimization of distributed generation size based on line sensitivity using transmission congestion cost

In this paper, a novel method is presented to study the impact of the most congested line on Locational Marginal Price (LMP), and Transmission Congestion Cost (TCC). In most congested condition, the abrupt difference in LMP between two nodes result in enormous TCC and create a huge loss for particip...

Full description

Saved in:
Bibliographic Details
Main Authors: Sharma, Vatsala, Walde, Pratima, Saket, R.K., Mekhilef, Saad
Format: Article
Published: 2021
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/26240/
https://doi.org/10.1002/2050-7038.12695
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.26240
record_format eprints
spelling my.um.eprints.262402022-02-22T01:30:58Z http://eprints.um.edu.my/26240/ Optimization of distributed generation size based on line sensitivity using transmission congestion cost Sharma, Vatsala Walde, Pratima Saket, R.K. Mekhilef, Saad TA Engineering (General). Civil engineering (General) In this paper, a novel method is presented to study the impact of the most congested line on Locational Marginal Price (LMP), and Transmission Congestion Cost (TCC). In most congested condition, the abrupt difference in LMP between two nodes result in enormous TCC and create a huge loss for participants. The method developed in this paper is to find the most congested line on the basis of TCC value, and its sensitivity on the overall network is thoroughly studied. The LMPs computed at each node help in grouping the nodes or buses into two parts, namely, zone 1 or congested zone and zone 2 or non-congested zone. This method helps market operators to analyze the impact of the most congested line. In addition, the method is handled by obtaining the exact location and sizing of Distributed Generation (DG). Moreover, to formulate the problem accurately, the proposed method is based on AC optimal power flow (ACOPF), which includes network losses in contrast with the lossless DCOPF. The MATLAB interior point method is used to solve the proposed method, and it is tested on IEEE Reliability Test System (IEEE-RTS) 24 bus and IEEE 30 bus system network in different operating conditions. The results thus obtained shows the betterment of the proposed method. 2021-10 Article PeerReviewed Sharma, Vatsala and Walde, Pratima and Saket, R.K. and Mekhilef, Saad (2021) Optimization of distributed generation size based on line sensitivity using transmission congestion cost. International Transactions on Electrical Energy Systems, 31 (10). ISSN 2050-7038, DOI https://doi.org/10.1002/2050-7038.12695 <https://doi.org/10.1002/2050-7038.12695>. https://doi.org/10.1002/2050-7038.12695 doi:10.1002/2050-7038.12695
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Sharma, Vatsala
Walde, Pratima
Saket, R.K.
Mekhilef, Saad
Optimization of distributed generation size based on line sensitivity using transmission congestion cost
description In this paper, a novel method is presented to study the impact of the most congested line on Locational Marginal Price (LMP), and Transmission Congestion Cost (TCC). In most congested condition, the abrupt difference in LMP between two nodes result in enormous TCC and create a huge loss for participants. The method developed in this paper is to find the most congested line on the basis of TCC value, and its sensitivity on the overall network is thoroughly studied. The LMPs computed at each node help in grouping the nodes or buses into two parts, namely, zone 1 or congested zone and zone 2 or non-congested zone. This method helps market operators to analyze the impact of the most congested line. In addition, the method is handled by obtaining the exact location and sizing of Distributed Generation (DG). Moreover, to formulate the problem accurately, the proposed method is based on AC optimal power flow (ACOPF), which includes network losses in contrast with the lossless DCOPF. The MATLAB interior point method is used to solve the proposed method, and it is tested on IEEE Reliability Test System (IEEE-RTS) 24 bus and IEEE 30 bus system network in different operating conditions. The results thus obtained shows the betterment of the proposed method.
format Article
author Sharma, Vatsala
Walde, Pratima
Saket, R.K.
Mekhilef, Saad
author_facet Sharma, Vatsala
Walde, Pratima
Saket, R.K.
Mekhilef, Saad
author_sort Sharma, Vatsala
title Optimization of distributed generation size based on line sensitivity using transmission congestion cost
title_short Optimization of distributed generation size based on line sensitivity using transmission congestion cost
title_full Optimization of distributed generation size based on line sensitivity using transmission congestion cost
title_fullStr Optimization of distributed generation size based on line sensitivity using transmission congestion cost
title_full_unstemmed Optimization of distributed generation size based on line sensitivity using transmission congestion cost
title_sort optimization of distributed generation size based on line sensitivity using transmission congestion cost
publishDate 2021
url http://eprints.um.edu.my/26240/
https://doi.org/10.1002/2050-7038.12695
_version_ 1735409389600243712
score 13.211869

Similar Items