@inproceedings{fafa6cbf1df44c7499a845e707f79398,
title = "Towards Power Grid Stability Index and Line Losses for Optimal Placement using Moth-Flame Optimization",
abstract = "Forecasting distribution system loads is frequently fraught with uncertainties. Such uncertain-ties impose some undesirable consequences and fluctu-ations on the power working of the system leading to a decrease in the accuracy of the results obtained through system analysis. As a result, probabilistic analysis of the distribution system is extremely important. Hence, this paper presents a new probabilistic load flow approach in the presence of a 24-hour load shifting regime in all periods by applying a normal probability distribution in seven degrees of separation for the loads and employing this distribution function using Forward-backward algorithms based on Moth-Flame Optimization (MOF) aiming to identify the optimal placement and sizing of the Distributed Generation (DG). Our new proposed approach is tested on IEEE IO-bus and 33-bus radial distribution networks. The findings are compared with the conventional approach (i.e., based on deterministic techniques), and it is more efficient with minimum power cost for the user.",
keywords = "DG, distribution, generation, MFO, net-work, Optimization Algorithm, power",
author = "Alawi Alqushaibi and Hasan, \{Mohd Hilmi\} and Abdulkadir, \{Said Jadid\} and Amgad Muneer and Qasem Al-Tashi and Mohammed Gamal",
note = "Funding Information: The works presented in this paper are part of an ongoing research funded by the Yayasan Universiti Teknologi PETRONAS grant (015LC0-311) Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 ; Conference date: 01-12-2022 Through 02-12-2022",
year = "2022",
doi = "10.1109/ICDI57181.2022.10007194",
language = "English (US)",
series = "2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "74--80",
booktitle = "2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 - Proceedings",
}