Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1205-35
Abstract
Growing concerns over environmental impacts, improvement of the overall network conditions, and rebate programs offered by governments have led to an increase in the number of distributed generation (DG) units in commercial and domestic electric power production. However, a large number of DG units in a distribution system may sometimes contribute to high levels of harmonic distortion, even though the emission levels of the individual DG units comply with the harmonic standards. It is known that the nonoptimal size and nonoptimal placement of DG units may lead to high power losses, bad voltage profiles, and harmonic propagations. Therefore, this paper introduces a sensitivity analysis to determine the optimal location of DG units, as well as evolutionary programming and harmonic distribution load flow for determining the optimal size of DG units in radial distribution systems. A multiobjective function is created to minimize the total losses and average total harmonic distortion voltage (THD_v) of the distribution system. The proposed methodology is tested with a 69-bus radial distribution system. The proposed optimal placement and sizing of the DG units is found to be robust and provides higher efficiency for the improvement of the voltage profile and the minimization of the losses and THD_v.
Keywords
Distributed generation, optimization, evolutionary programming, harmonic distortion, sensitivity analysis
First Page
2269
Last Page
2282
Recommended Citation
KADIR, AIDA FAZLIANA ABDUL; MOHAMED, AZAH; SHAREEF, HUSSAIN; and WANIK, MOHD ZAMRI CHE
(2013)
"Optimal placement and sizing of distributed generations in distribution systems for minimizing losses and THD_v using evolutionary programming,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 21:
No.
8, Article 12.
https://doi.org/10.3906/elk-1205-35
Available at:
https://journals.tubitak.gov.tr/elektrik/vol21/iss8/12
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons