Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28233
Title: Strength pareto multigroup search optimizer for multiobjective optimal reactive power dispatch
Authors: Zhou, B
Chan, KW 
Yu, T
Wei, H
Tang, J
Keywords: Crowding entropy
Multicore parallel optimization
Multigroup search optimizer
Multiobjective optimal reactive power dispatch (MORD)
Nash equilibrium
Pareto optimality
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on industrial informatics, 2014, v. 10, no. 2, 6763099, p. 1012-1022 How to cite?
Journal: IEEE transactions on industrial informatics 
Abstract: Multiobjective optimal reactive power dispatch (MORD) is a highly constrained nonlinear nondifferential multimodal Pareto optimization problem with a mixture of continuous and discrete variables. This paper presents a novel strength Pareto multigroup search optimizer (SPMGSO) for solving this challenging problem. In the proposed algorithm, a number of enhancement mechanisms, such as ring-migration synergistic cooperation, crowding entropy constraint treatment, and chaotic logistic dispersion, were developed to effectively strengthen the diversity and distribution of the resulting nondominated front (NDF). The final best compromise solution is then extracted from the NDF using a hierarchical clustering and an equilibria-based multicriteria decision-making scheme. In addition, the multicore processing was introduced to parallelize the multigroup search so as to greatly improve the execution speed of the algorithm. Computational studies on the benchmark IEEE 30-bus and 162-bus power systems have confirmed the superior performance and improvement of the proposed algorithm for solving this Pareto problem, and demonstrated its applicability and capability to cope with the high-dimensional MORD problems with multiple operational objectives.
URI: http://hdl.handle.net/10397/28233
ISSN: 1551-3203
EISSN: 1941-0050
DOI: 10.1109/TII.2014.2310634
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

11
Last Week
0
Last month
0
Citations as of Nov 10, 2017

WEB OF SCIENCETM
Citations

9
Last Week
0
Last month
Citations as of Nov 16, 2017

Page view(s)

51
Last Week
0
Last month
Checked on Nov 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.