Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network
Energy consumption has experienced significant growth on a global scale in the past decade. This has caused the growing demand of renewable energy resources into grid systems which has led to the need for technological solutions that can improve the stability of power systems. Electrical transm...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11396/1/P16805_a645534cda1a50255a2207c99e48f6f0%205.pdf |
| _version_ | 1811134777904857088 |
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| author | Ibrahim, Nur Farahiah Musirin, Ismail Mohamad, Nor Zulaily Mohamed Kamari, Nor Azwan Abdullah, Mohd Noor Zakaria, Fathiah |
| author_facet | Ibrahim, Nur Farahiah Musirin, Ismail Mohamad, Nor Zulaily Mohamed Kamari, Nor Azwan Abdullah, Mohd Noor Zakaria, Fathiah |
| author_sort | Ibrahim, Nur Farahiah |
| collection | UTHM |
| description | Energy consumption has experienced significant
growth on a global scale in the past decade. This has caused the
growing demand of renewable energy resources into grid
systems which has led to the need for technological solutions that
can improve the stability of power systems. Electrical
transmission network is an essential component for effectively
and reliably transporting electricity. However, they are prone to
power losses, which reduce overall system efficiency and raise
operational expenses. Any remedial action to include
compensating devices into the current system will require
optimal sizing and sizing so as to avoid any over-compensation
or under-compensation phenomena. This research investigates
an approach of mitigating these losses by incorporating Battery
Energy Storage Systems (BESS) into the transmission network.
BESS is known to be a promising technology, providing several
advantages such as peak shaving, load leveling, and improved
grid stability. The purpose of this study is to find the optimal
location and sizing of battery energy to minimize loss dissipated
by the system using a newly proposed technique termed
Integrated Immune Chaotic Evolutionary Programming
(IICEP). IICEP is proposed to integrate BESS into the
transmission network with a focus on loss minimization. IICEP
integrates the operators of clonal features of Artificial Immune
System (AIS) with the addition of a chaotic element into the
original Evolutionary Programming (EP). It offers a better
solution in optimization performance. Three battery energy
storages are integrated into the network, each with the
placement and sizing to meet the goal. The algorithm of IICEP
is tested on IEEE 30- Bus RTS to observe its effectiveness. The
results are compared with the traditional EP and AIS, resulting
in a lower optimal solution of power losses |
| first_indexed | 2024-09-24T00:10:33Z |
| format | Conference or Workshop Item |
| id | uthm.eprints-11396 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-09-24T00:10:33Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | uthm.eprints-113962024-07-30T03:10:01Z http://eprints.uthm.edu.my/11396/ Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network Ibrahim, Nur Farahiah Musirin, Ismail Mohamad, Nor Zulaily Mohamed Kamari, Nor Azwan Abdullah, Mohd Noor Zakaria, Fathiah TA174 Engineering design Energy consumption has experienced significant growth on a global scale in the past decade. This has caused the growing demand of renewable energy resources into grid systems which has led to the need for technological solutions that can improve the stability of power systems. Electrical transmission network is an essential component for effectively and reliably transporting electricity. However, they are prone to power losses, which reduce overall system efficiency and raise operational expenses. Any remedial action to include compensating devices into the current system will require optimal sizing and sizing so as to avoid any over-compensation or under-compensation phenomena. This research investigates an approach of mitigating these losses by incorporating Battery Energy Storage Systems (BESS) into the transmission network. BESS is known to be a promising technology, providing several advantages such as peak shaving, load leveling, and improved grid stability. The purpose of this study is to find the optimal location and sizing of battery energy to minimize loss dissipated by the system using a newly proposed technique termed Integrated Immune Chaotic Evolutionary Programming (IICEP). IICEP is proposed to integrate BESS into the transmission network with a focus on loss minimization. IICEP integrates the operators of clonal features of Artificial Immune System (AIS) with the addition of a chaotic element into the original Evolutionary Programming (EP). It offers a better solution in optimization performance. Three battery energy storages are integrated into the network, each with the placement and sizing to meet the goal. The algorithm of IICEP is tested on IEEE 30- Bus RTS to observe its effectiveness. The results are compared with the traditional EP and AIS, resulting in a lower optimal solution of power losses 2024-03-04 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/11396/1/P16805_a645534cda1a50255a2207c99e48f6f0%205.pdf Ibrahim, Nur Farahiah and Musirin, Ismail and Mohamad, Nor Zulaily and Mohamed Kamari, Nor Azwan and Abdullah, Mohd Noor and Zakaria, Fathiah (2024) Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network. In: 2024 IEEE 4TH INTERNATIONAL CONFERENCE IN POWER ENGINEERING APPLICATIONS (ICPEA). http://10.1109/ICPEA60617.2024.10498731 |
| spellingShingle | TA174 Engineering design Ibrahim, Nur Farahiah Musirin, Ismail Mohamad, Nor Zulaily Mohamed Kamari, Nor Azwan Abdullah, Mohd Noor Zakaria, Fathiah Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network |
| title | Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network |
| title_full | Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network |
| title_fullStr | Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network |
| title_full_unstemmed | Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network |
| title_short | Integrated immune chaotic evolutionary programming (IICEP) for integrating battery energy storage system in transmission network |
| title_sort | integrated immune chaotic evolutionary programming iicep for integrating battery energy storage system in transmission network |
| topic | TA174 Engineering design |
| url | http://eprints.uthm.edu.my/11396/1/P16805_a645534cda1a50255a2207c99e48f6f0%205.pdf |
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