Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid
Renewable energy resource dynamics significantly contribute to renewable energy system complexities in addition to reliability issues. Energy storage systems such as batteries are used for supply reliability in renewable energy system designs such as residential nanogrids. Factors considered in batt...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Conference paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-36813 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-368132025-03-03T15:44:52Z Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid Dahiru A.T. Tan C.W. Lau K.Y. Toh C.L. Ayop R. Ibrahim O. 57211084199 35216732200 37665178700 8690228000 57193828123 56888507100 Battery management systems Battery storage Cost reduction Hydrogen storage Vehicle-to-grid Battery systems Customer demands Energy Energy systems Energy tradeoff Hybrid energy storage Hydrogen fuel cells Nanogrids Renewable energies Renewable energy generation Renewable energy resource dynamics significantly contribute to renewable energy system complexities in addition to reliability issues. Energy storage systems such as batteries are used for supply reliability in renewable energy system designs such as residential nanogrids. Factors considered in battery energy storage options in renewable energy systems include the low cost of acquisition, large-scale commercial deployment and high energy storage densities. Despite the competitive advantages of the battery systems, other energy storage facilities have advantages such as electric vehicles with significant time spent parking and hydrogen fuel cells with considerably long periods of retaining energy storage. This paper considered other technoeconomic advantages in defining a hybrid energy storage management for battery, electric vehicles and hydrogen fuel cells configured in a combined and substituted storage of a residential nanogrid. Constraints of uncertain renewable energy generation and customer demands were used for the nanogrid's optimal capacity with each of the storage configurations analyzed based on charging and discharging conditions. The objectives were to strategize energy tradeoffs between the nanogrid and the main grid for energy cost reduction and improved energy utilization. The results indicate the ranges of hourly-average available energy for tradeoffs in the main grid-interactive residential nanogrid such as 24-115 kW in a battery system, 1975 kW in an electric vehicle and 545 kW in hydrogen fuel cell from a substituted configuration and 110-250 kW from a combined storage configuration. The uncertain renewable energy generation and customer demands were utilized in suggesting a dynamic energy pricing for future study considerations. ?2024 IEEE. Final 2025-03-03T07:44:52Z 2025-03-03T07:44:52Z 2024 Conference paper 10.1109/PECON62060.2024.10827631 2-s2.0-85217400470 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217400470&doi=10.1109%2fPECON62060.2024.10827631&partnerID=40&md5=c5fa9502ffa4b04576396a80dba54e0e https://irepository.uniten.edu.my/handle/123456789/36813 110 115 Institute of Electrical and Electronics Engineers Inc. Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| topic |
Battery management systems Battery storage Cost reduction Hydrogen storage Vehicle-to-grid Battery systems Customer demands Energy Energy systems Energy tradeoff Hybrid energy storage Hydrogen fuel cells Nanogrids Renewable energies Renewable energy generation |
| spellingShingle |
Battery management systems Battery storage Cost reduction Hydrogen storage Vehicle-to-grid Battery systems Customer demands Energy Energy systems Energy tradeoff Hybrid energy storage Hydrogen fuel cells Nanogrids Renewable energies Renewable energy generation Dahiru A.T. Tan C.W. Lau K.Y. Toh C.L. Ayop R. Ibrahim O. Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid |
| description |
Renewable energy resource dynamics significantly contribute to renewable energy system complexities in addition to reliability issues. Energy storage systems such as batteries are used for supply reliability in renewable energy system designs such as residential nanogrids. Factors considered in battery energy storage options in renewable energy systems include the low cost of acquisition, large-scale commercial deployment and high energy storage densities. Despite the competitive advantages of the battery systems, other energy storage facilities have advantages such as electric vehicles with significant time spent parking and hydrogen fuel cells with considerably long periods of retaining energy storage. This paper considered other technoeconomic advantages in defining a hybrid energy storage management for battery, electric vehicles and hydrogen fuel cells configured in a combined and substituted storage of a residential nanogrid. Constraints of uncertain renewable energy generation and customer demands were used for the nanogrid's optimal capacity with each of the storage configurations analyzed based on charging and discharging conditions. The objectives were to strategize energy tradeoffs between the nanogrid and the main grid for energy cost reduction and improved energy utilization. The results indicate the ranges of hourly-average available energy for tradeoffs in the main grid-interactive residential nanogrid such as 24-115 kW in a battery system, 1975 kW in an electric vehicle and 545 kW in hydrogen fuel cell from a substituted configuration and 110-250 kW from a combined storage configuration. The uncertain renewable energy generation and customer demands were utilized in suggesting a dynamic energy pricing for future study considerations. ?2024 IEEE. |
| author2 |
57211084199 |
| author_facet |
57211084199 Dahiru A.T. Tan C.W. Lau K.Y. Toh C.L. Ayop R. Ibrahim O. |
| format |
Conference paper |
| author |
Dahiru A.T. Tan C.W. Lau K.Y. Toh C.L. Ayop R. Ibrahim O. |
| author_sort |
Dahiru A.T. |
| title |
Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid |
| title_short |
Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid |
| title_full |
Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid |
| title_fullStr |
Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid |
| title_full_unstemmed |
Hybrid Energy Storage Management in a Renewable Energy-Based Residential Nanogrid |
| title_sort |
hybrid energy storage management in a renewable energy-based residential nanogrid |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2025 |
| _version_ |
1825816285040082944 |
| score |
13.244109 |