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|Title: ||Optimal sizing of distributed generation by using quantum-inspired evolutionary programming|
|Authors: ||Zuhaila, Mat Yasin|
Titik Khawa, Abdul Rahman, Prof. Dr.
Ismail, Musirin, Dr.
Siti Rafidah, Abd Rahim
|Keywords: ||Distributed generation|
Quantum-inspired evolutionary programming
|Issue Date: ||23-Jun-2010 |
|Publisher: ||Institute of Electrical and Electronics Engineers (IEEE)|
|Citation: ||p. 468-473|
|Series/Report no.: ||Proceedings of the 4th International Power Engineering and Optimization Conference (PEOCO) 2010|
|Abstract: ||The paper proposes a novel evolutionary
programming inspired by quantum mechanics, called a
quantum-inspired evolutionary programming (QIEP). The
proposed algorithm consists of three levels, quantum individuals,
quantum groups and quantum universes. The proposed
algorithm is implemented to determine the optimal sizing of
distributed generation (DG) for loss minimization at the optimal
location. The location of the distributed generation was identified
using the sensitivity indices. In order to demonstrate its
performance, comparative studies are performed with
conventional evolutionary programming in terms of loss
minimization and computation time. The installation of single
DG and multiple DG also presented and the results shows better
improvement in terms of loss minimization and voltage profile.
The proposed study was conducted on the IEEE 69-bus test
|Description: ||Link to publisher's homepage at http://ieeexplore.ieee.org/|
|Appears in Collections:||Conference Papers|
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