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Congestion mitigation in distribution network by integrated distributed generations for improving voltage profiles and minimizing the losses
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 25, Issue 2 (30 Apr. 2021), pp.78-87, 10 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2021-04-30
Country of Publication
Iraq
No. of Pages
10
Topics
Abstract EN
In electrical power systems, unexpected outage of transmission systems, sudden increase of loads, the exit of generators from service, and equipment failure, leads to a contingency occurring on one or several transmission lines.
The loads must be within the specified state and the transmission lines should not exceed the thermal limits.
One of the important methods used to alleviate the contingency and reduce the congestion lines by injected a Distributed Generation (DG) within an optimal siting and optimal sizing in the distribution network that achieves improvement of the voltage profile as well as leads to reduce the losses.
First, to achieve the best goals in this paper that is determined contingency lines, an index has been used called (Active Power Flow Performance Index) (PIRPF) and an equation called (Line Flow Sensitivity Index) (LFSI) is used for finding the optimum site for Distributed Generation.
Second, to determine the optimum size for distributed generators, the Genetic Algorithm (GA) is used.
Also, this research was distinguished by choosing new sites and sizes according to the GA to obtain the best desired results.
Finally, these methodologies were applied to the IEEE-30 bus ring network using the MATPOWER Version 6.0, 16-Dec-2016 program within MATLAP R2018a environment.
In electrical power systems, unexpected outage of transmission systems, sudden increase of loads, the exit of generators from service, and equipment failure, leads to a contingency occurring on one or several transmission lines.
The loads must be within the specified state and the transmission lines should not exceed the thermal limits.
One of the important methods used to alleviate the contingency and reduce the congestion lines by injected a Distributed Generation (DG) within an optimal siting and optimal sizing in the distribution network that achieves improvement of the voltage profile as well as leads to reduce the losses.
First, to achieve the best goals in this paper that is determined contingency lines, an index has been used called (Active Power Flow Performance Index) (PIRPF) and an equation called (Line Flow Sensitivity Index) (LFSI) is used for finding the optimum site for Distributed Generation.
Second, to determine the optimum size for distributed generators, the Genetic Algorithm (GA) is used.
Also, this research was distinguished by choosing new sites and sizes according to the GA to obtain the best desired results.
Finally, these methodologies were applied to the IEEE-30 bus ring network using the MATPOWER Version 6.0, 16-Dec-2016 program within MATLAP R2018a environment.
American Psychological Association (APA)
2021. Congestion mitigation in distribution network by integrated distributed generations for improving voltage profiles and minimizing the losses. Journal of Engineering and Sustainable Development،Vol. 25, no. 2, pp.78-87.
https://search.emarefa.net/detail/BIM-1271318
Modern Language Association (MLA)
Congestion mitigation in distribution network by integrated distributed generations for improving voltage profiles and minimizing the losses. Journal of Engineering and Sustainable Development Vol. 25, no. 2 (2021), pp.78-87.
https://search.emarefa.net/detail/BIM-1271318
American Medical Association (AMA)
Congestion mitigation in distribution network by integrated distributed generations for improving voltage profiles and minimizing the losses. Journal of Engineering and Sustainable Development. 2021. Vol. 25, no. 2, pp.78-87.
https://search.emarefa.net/detail/BIM-1271318
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1271318