The Impacts of Distributed Energy Sources on Distribution Network Reconfiguration

Thanks to the recent improvements in renewable energy technologies throughout the world, distributed energy sources are now playing an undeniable role in supplying the electricity in distribution networks. This paper studies the impacts of utilizing distributed generation units on the task of networ...

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Bibliographic Details
Published in:IEEE transactions on energy conversion Vol. 31; no. 2; pp. 606 - 613
Main Authors: Asrari, Arash, Wu, Thomas, Lotfifard, Saeed
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Distributed generation
Distributed generation (DG)
Distribution management
distribution network reconfiguration
Encoding
Genetic algorithms
Linear programming
Networks
Optimization
Power quality
Reconfiguration
shuffled frog leaping algorithm (SFLA)
Supplying
Tasks
Topology
voltage drop
Voltage fluctuations
voltage sag
shuffled frog leaping algorithm (SFLA)
voltage drop
distribution network reconfiguration
Distributed generation (DG)
voltage sag
ISSN:0885-8969, 1558-0059
Online Access:Get full text
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Summary:Thanks to the recent improvements in renewable energy technologies throughout the world, distributed energy sources are now playing an undeniable role in supplying the electricity in distribution networks. This paper studies the impacts of utilizing distributed generation units on the task of network reconfiguration in distribution systems. Considering the importance of reducing voltage drops and voltage sags in distribution systems, network reconfiguration is formulated as a multiobjective optimization problem in this study to minimize these two objective functions. A Pareto-based metaheuristic optimization algorithm is proposed to identify a Pareto frontier representing the alternative high-quality suboptimal configurations. The proposed optimization method is tested on a 69-bus distribution system to demonstrate the performance of the algorithm.
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ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2015.2514191