NDLI: Multi-objective quantum-inspired Artificial Immune System approach for optimal network reconfiguration in distribution system

Content Provider	IEEE Xplore Digital Library
Author	Ahmad, N.H. Rahman, T.K.A. Aminuddin, N.
Copyright Year	2012
Description	Author affiliation: Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia (Aminuddin, N.) \|\| Faculty of Electrical Engineering, Universiti Teknologi MARA, Malaysia (Ahmad, N.H.) \|\| Department of Electrical, Faculty of Engineering, National University of Defend, Malaysia (Rahman, T.K.A.)
Abstract	This paper presents a new technique for indentifying optimal network reconfiguration. The proposed technique was developed based on the hybridization of quantum mechanics concepts with the Artificial Immune System (AIS) optimization and it is named as Quantum-inspired Artificial Immune System (QI-AIS). Network reconfiguration is performed by altering the topological structure of the distribution feeder. It provides an efficient way to control the tie-line and sectionalizing switches. By reconfiguring the network, voltage stability can be improved and at the same time system total losses can also be minimized for particular set of loads in a distribution system. Throughout the research, the total loss minimization and voltage stability improvement are the objective functions used to indicate the optimal network reconfiguration. This paper utilized IEEE 69-bus system in this research. Other than having loss minimization and voltage stability improvement as the objective function, this research also looked into multi objective function which is combination of loss minimization and voltage stability improvement using the weighted sum technique. Simulation results show that QI AIS optimization technique gave a better total loss minimization and it also provides a better computation time compared to AIS optimization technique. The results from the multi objective function also outperformed the loss minimization and voltage stability improvement considered individually.
Starting Page	384
Ending Page	388
File Size	400694
Page Count	5
File Format	PDF
ISBN	9781467306607
e-ISBN	9781467306621
DOI	10.1109/PEOCO.2012.6230894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-06
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	And loss minimization Network reconfiguration Stability criteria Quantum-inspired Artificial Immune System Power system stability Voltage stability Minimization Distribution system Optimization Load flow analysis Immune system
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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