Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands
Joint Authors
Hong, Ying-Yi
Hsu, Fu-Yuan
Lin, Faa-Jeng
Source
International Journal of Photoenergy
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The Kyoto protocol recommended that industrialized countries limit their green gas emissions in 2012 to 5.2% below 1990 levels.
Photovoltaic (PV) arrays provide clear and sustainable renewable energy to electric power systems.
Solar PV arrays can be installed in distribution systems of rural and urban areas, as opposed to wind-turbine generators, which cause noise in surrounding environments.
However, a large PV array (several MW) may incur several operation problems, for example, low power quality and reverse power.
This work presents a novel method to reconfigure the distribution feeders in order to prevent the injection of reverse power into a substation connected to the transmission level.
Moreover, a two-stage algorithm is developed, in which the uncertain bus loads and PV powers are clustered by fuzzy-c-means to gain representative scenarios; optimal reconfiguration is then achieved by a novel mean-variance-based particle swarm optimization.
The system loss is minimized while the operational constraints, including reverse power and voltage variation, are satisfied due to the optimal feeder reconfiguration.
Simulation results obtained from a 70-bus distribution system with 4 large PV arrays validate the proposed method.
American Psychological Association (APA)
Hong, Ying-Yi& Lin, Faa-Jeng& Hsu, Fu-Yuan. 2014. Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands. International Journal of Photoenergy،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1037292
Modern Language Association (MLA)
Hong, Ying-Yi…[et al.]. Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands. International Journal of Photoenergy No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1037292
American Medical Association (AMA)
Hong, Ying-Yi& Lin, Faa-Jeng& Hsu, Fu-Yuan. Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands. International Journal of Photoenergy. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1037292
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1037292