@inproceedings{e9a8f882fedd46bf96203aaad3b95751,
title = "Optimal BESS Allocation in Radial and Meshed Distribution Network",
abstract = "Continuous proliferation of energy demand caused by the electrification of conventional loads and Electric Vehicle (EV) charging poses various operational challenges for Electric Power System (EPS) planners, in particular on distribution network expansion and congestion. Network reconfiguration and Battery Energy Storage Systems (BESS) play a vital role in minimization of network congestion/expansion, and it is therefore essential to understand how optimal design can enhance their role in network support. In this paper we compare centralized and decentralized allocation of BESS in radial and meshed distribution networks, using Grey Wolf Optimizers and using IEEE standard distribution networks. We show that converting existing radial networks into meshed networks saves a significant amount of total expense under long-term planning. Also, decentralized BESS integration is more cost effective in radial networks as compared to a centralized scheme.",
keywords = "Battery energy storage system, congestion, network, optimal allocation, radial and meshed networks",
author = "Ali Ahmed and Kylie Catchpole and Anna Skobeleva",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 34th IEEE Australasian Universities Power Engineering Conference, AUPEC 2024 ; Conference date: 20-11-2024 Through 22-11-2024",
year = "2024",
doi = "10.1109/AUPEC62273.2024.10807556",
language = "English",
series = "2024 IEEE 34th Australasian Universities Power Engineering Conference, AUPEC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE 34th Australasian Universities Power Engineering Conference, AUPEC 2024",
address = "United States",
}