TY  - CONF
EP  - 80
ID  - scholars17303
N1  - 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
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146970656&doi=10.1109%2fICDI57181.2022.10007194&partnerID=40&md5=54e1f13c959ad668546d1d73033ec84c
A1  - Alqushaibi, A.
A1  - Hasan, M.H.
A1  - Abdulkadir, S.J.
A1  - Muneer, A.
A1  - Al-Tashi, Q.
A1  - Gamal, M.
KW  - Distribution functions; Electric load flow; Electric power system stability
KW  -  Distribution; Distribution systems; Generation; MFO; Net work; Optimisations; Optimization algorithms; Power; Power grid stability; Stability indices
KW  -  Electric power distribution
TI  - Towards Power Grid Stability Index and Line Losses for Optimal Placement using Moth-Flame Optimization
Y1  - 2022///
N2  - 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.
SN  - 9798350397000
AV  - none
PB  - Institute of Electrical and Electronics Engineers Inc.
SP  - 74
ER  -