Enhancement of an Iraqi Radial Distribution System Performance Using Multi-Object Particle Swarm Optimization

Alwazni, Hazim S. Mohsen; Al-kubragyi, Shatha S. Abdulla

doi:10.30684/etj.v39i10.2095

	Enhancement of an Iraqi Radial Distribution System Performance Using Multi-Object Particle Swarm Optimization
Engineering and Technology Journal
Article 7, Volume 39, Issue 10, October 2021, Pages 1528-1538 PDF (957.17 K)
Document Type: Research Paper
DOI: 10.30684/etj.v39i10.2095
Authors
Hazim S. Mohsen Alwazni^* ; Shatha S. Abdulla Al-kubragyi
Electrical Engineering Dept., University of Technology-Iraq, Alsina’a street, 10066 Baghdad, Iraq.
Abstract
This paper proposes a Multi Object Particle Swarm Optimization (MOPSO) to find the optimal location and capacity of Distributed Generation and D-STATCOM device. The objective function has adapted with a multi -objectives function to improve voltage profile, the voltage stability and reduce the total power loss of the Radial Distribution System (RDS). Basically, the voltage stability index (VSI) has been used to pre-determine the optimal location of DG and D-STATCOM. Then, a MOPSO applies to achieve the suitable size of DG and D-STATCOM units with different load models. The proposed method is compared with other existing methods and it was obtained losses reductions and enhancement voltage stability and average voltage when was tested on IEEE 33-bus and real Iraqi 65-bus radial distribution system through simulation using MATLAB. Furthermore, different cases were considered for using the (MOPSO) algorithm at different load factors.
Highlights
MO-PSO algorithm for fast convergence and good-tuning feature. Adding DG and D-STATCOM simultaneously. IEEE 33-Bus and real 65-bus Iraqi RDS. enhancement voltage stability, improve voltage and minimize power losses by multi-objective function. Different cases and different load factor by using Newton Raphson load flow and MATLAB program.
Keywords
D-STATCOM; MOPSO algorithm; Smart distribution grid; Voltage stability

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