relation: https://khub.utp.edu.my/scholars/17303/
title: Towards Power Grid Stability Index and Line Losses for Optimal Placement using Moth-Flame Optimization
creator: Alqushaibi, A.
creator: Hasan, M.H.
creator: Abdulkadir, S.J.
creator: Muneer, A.
creator: Al-Tashi, Q.
creator: Gamal, M.
description: 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. © 2022 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2022
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Alqushaibi, A. and Hasan, M.H. and Abdulkadir, S.J. and Muneer, A. and Al-Tashi, Q. and Gamal, M.  (2022) Towards Power Grid Stability Index and Line Losses for Optimal Placement using Moth-Flame Optimization.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146970656&doi=10.1109%2fICDI57181.2022.10007194&partnerID=40&md5=54e1f13c959ad668546d1d73033ec84c
relation: 10.1109/ICDI57181.2022.10007194
identifier: 10.1109/ICDI57181.2022.10007194