Article Per Year (5 Year)
p-Index From 2021 - 2026
1.182
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Indonesian Journal of Electrical Engineering and Computer Science
Nofri Yenita Dahlan
Universiti Teknologi MARA
Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Optimal location and sizing of battery energy storage system using grasshopper optimization algorithm Nur Syifa Nasyrah Razali; Zuhaila Mat Yasin; Nofri Yenita Dahlan; Siti Zaliha Mohammad Noor; Nurfadzilah Ahmad; Elia Erwani Hassan
International Journal of Advances in Applied Sciences Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i3.pp647-654

Abstract

An energy storage system called a battery energy storage system (BESS) collects energy from various sources, builds up that energy, and then stores it in rechargeable batteries for future use. The battery's electrochemical energy can be discharged and supplied to buildings such as residences, electric cars, and commercial and industrial buildings. The advantages of utilizing BESSs, such as minimizing energy loss, improving voltage profile, peak shaving, and increasing power quality, may be reduced if incorrect decisions about the appropriate position and capacity for BESSs are chosen. Furthermore, the optimal position and size for BESSs are critical since deploying a BESS at every bus, particularly in an extensive network, is not a cost-effective option, and installing oversized BESSs would result in higher investment expenses. Hence, this study suggests a proficient method for identifying the most suitable position and the sizes of BESS to save costs. The grasshopper optimization algorithm (GOA) and evolutionary programming (EP) were employed to address the optimization challenge on the IEEE 69-bus distribution test system. The goal of the optimization is to minimize the overall cost. The findings indicate that the GOA has strong resilience and possesses a superior capacity for optimizing cost reduction in comparison to EP.
Co-Authors Aainaa Mohd Arriffin Adriana Haziqah Mohd Aizam Amirul Asyraf Mohd Kamaruzaman Arni Munira Markom Elia Erwani Hassan Hassan Mohamed Hazlie Mokhlis Ihsan Mohd Yassin Ismail Musirin Mashitah Mohd Hussain Md Azwan Md Yasin Mohamad Fani Sulaima Mohd Najib Mohd Hussain Muhammad Aiman Amin Muhammad Suhaimi Muhammad Murtadha Othman Natarajan Rajasekar Noor Hasliza Abdul Rahman Nor Erne Nazira Bazin Norlee Husnafeza Ahmad Nur Ashida Salim Nur Iqtiyani Ilham Nur Syifa Nasyrah Razali Nurfadzilah Ahmad Nurliyana Baharin Saidatul Habsah Asman Siti Hajar Yusoff Siti Zaliha Mohammad Noor W Muhammad Faizol bin W Mustapha Wan n Nazirah Wan Md Adna Wan Nazirah Wan Md Adnan Wan Nazirah Wan Md Adnan Yusrina Yusof Zhafran Hussin Zuhaila Mat Yasin Zuhaina Zakaria Zulkiffli Abdul Hamid