%P 74-80
%T Towards Power Grid Stability Index and Line Losses for Optimal Placement using Moth-Flame Optimization
%I Institute of Electrical and Electronics Engineers Inc.
%A A. Alqushaibi
%A M.H. Hasan
%A S.J. Abdulkadir
%A A. Muneer
%A Q. Al-Tashi
%A M. Gamal
%O cited By 0; Conference of 2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:185994
%J 2022 International Conference on Digital Transformation and Intelligence, ICDI 2022 - Proceedings
%L scholars17303
%D 2022
%R 10.1109/ICDI57181.2022.10007194
%K Distribution functions; Electric load flow; Electric power system stability, Distribution; Distribution systems; Generation; MFO; Net work; Optimisations; Optimization algorithms; Power; Power grid stability; Stability indices, Electric power distribution
%X 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.