A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system
A novel peak load shaving algorithm has been proposed in this study for peak shaving application in hybrid PV-BESS connected Isolated Microgrid (IMG) system. This algorithm will help an IMG system to operate its generation systems optimally and economically along with PV generation unit. An IMG mode...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Published: |
Elsevier
2021
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/26808/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaya |
id |
my.um.eprints.26808 |
---|---|
record_format |
eprints |
spelling |
my.um.eprints.268082022-02-24T07:05:32Z http://eprints.um.edu.my/26808/ A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system Rana, Md Masud Romlie, Mohd Fakhizan Abdullah, Mohd Faris Uddin, Moslem Sarkar, Md Rasel TA Engineering (General). Civil engineering (General) A novel peak load shaving algorithm has been proposed in this study for peak shaving application in hybrid PV-BESS connected Isolated Microgrid (IMG) system. This algorithm will help an IMG system to operate its generation systems optimally and economically along with PV generation unit. An IMG model has been developed in MATLAB/Simulink environment with actual load data, conventional Gas Turbine Generator (GTG), Photovoltaic (PV) generation system and Battery Energy Storage System (BESS). The proposed algorithm has been tested with the designed IMG model. To evaluate the effectiveness of the algorithm, simulation case studies have been conducted with actual load data and actual PV generation data. The simulation results demonstrate that the algorithm can minimize the limitations of the existing methods and it can use the PV generation system effectively. Peak shaving service can be found from this algorithm as a simple and forcible way. A comparative analysis has been conducted of the proposed algorithm with the conventional methods. The comparison results can easily reflect that the proposed algorithm can ensure the optimal use of PV generation system and can serve peak shaving service effectively. It can also ensure an economic and environment friendly system where the existing algo-rithms are limited to serve these. The proposed algorithm can mitigate the available power issues for hybrid PV-BESS connected system and it can also minimize the operating cost by dispatching the gen-eration units optimally. (c) 2021 Elsevier Ltd. All rights reserved. Elsevier 2021-11-01 Article PeerReviewed Rana, Md Masud and Romlie, Mohd Fakhizan and Abdullah, Mohd Faris and Uddin, Moslem and Sarkar, Md Rasel (2021) A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system. Energy, 234. ISSN 0360-5442, DOI https://doi.org/10.1016/j.energy.2021.121157 <https://doi.org/10.1016/j.energy.2021.121157>. 10.1016/j.energy.2021.121157 |
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) Rana, Md Masud Romlie, Mohd Fakhizan Abdullah, Mohd Faris Uddin, Moslem Sarkar, Md Rasel A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system |
description |
A novel peak load shaving algorithm has been proposed in this study for peak shaving application in hybrid PV-BESS connected Isolated Microgrid (IMG) system. This algorithm will help an IMG system to operate its generation systems optimally and economically along with PV generation unit. An IMG model has been developed in MATLAB/Simulink environment with actual load data, conventional Gas Turbine Generator (GTG), Photovoltaic (PV) generation system and Battery Energy Storage System (BESS). The proposed algorithm has been tested with the designed IMG model. To evaluate the effectiveness of the algorithm, simulation case studies have been conducted with actual load data and actual PV generation data. The simulation results demonstrate that the algorithm can minimize the limitations of the existing methods and it can use the PV generation system effectively. Peak shaving service can be found from this algorithm as a simple and forcible way. A comparative analysis has been conducted of the proposed algorithm with the conventional methods. The comparison results can easily reflect that the proposed algorithm can ensure the optimal use of PV generation system and can serve peak shaving service effectively. It can also ensure an economic and environment friendly system where the existing algo-rithms are limited to serve these. The proposed algorithm can mitigate the available power issues for hybrid PV-BESS connected system and it can also minimize the operating cost by dispatching the gen-eration units optimally. (c) 2021 Elsevier Ltd. All rights reserved. |
format |
Article |
author |
Rana, Md Masud Romlie, Mohd Fakhizan Abdullah, Mohd Faris Uddin, Moslem Sarkar, Md Rasel |
author_facet |
Rana, Md Masud Romlie, Mohd Fakhizan Abdullah, Mohd Faris Uddin, Moslem Sarkar, Md Rasel |
author_sort |
Rana, Md Masud |
title |
A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system |
title_short |
A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system |
title_full |
A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system |
title_fullStr |
A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system |
title_full_unstemmed |
A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system |
title_sort |
novel peak load shaving algorithm for isolated microgrid using hybrid pv-bess system |
publisher |
Elsevier |
publishDate |
2021 |
url |
http://eprints.um.edu.my/26808/ |
_version_ |
1735409460979957760 |