Dynamic population artificial bee colony algorithm for multi-objective optimal power flow
Joint Authors
Liu, Wei
Liu, Fang
Chen, Hanning
Jing, Shikai
Liang, Xiaodan
Ding, Man
Lin, Na
Source
Saudi Journal of Biological Sciences
Issue
Vol. 24, Issue 3 (31 Mar. 2017), pp.703-710, 8 p.
Publisher
Publication Date
2017-03-31
Country of Publication
Saudi Arabia
No. of Pages
8
Main Subjects
Topics
Abstract EN
This paper proposes a novel artificial bee colony algorithm with dynamic population (ABC-DP), which synergizes the idea of extended life-cycle evolving model to balance the exploration and exploitation tradeoff.
The proposed ABC-DP is a more bee-colony-realistic model that the bee can reproduce and die dynamically throughout the foraging process and population size varies as the algorithm runs.
ABC-DP is then used for solving the optimal power flow (OPF) problem in power systems that considers the cost, loss, and emission impacts as the objective functions.
The 30-bus IEEE test system is presented to illustrate the application of the proposed algorithm.
The simulation results, which are also compared to nondominated sorting genetic algorithm II (NSGAII) and multi-objective ABC (MOABC), are presented to illustrate the effectiveness and robustness of the proposed method.
American Psychological Association (APA)
Ding, Man& Chen, Hanning& Lin, Na& Jing, Shikai& Liu, Fang& Liang, Xiaodan…[et al.]. 2017. Dynamic population artificial bee colony algorithm for multi-objective optimal power flow. Saudi Journal of Biological Sciences،Vol. 24, no. 3, pp.703-710.
https://search.emarefa.net/detail/BIM-761805
Modern Language Association (MLA)
Ding, Man…[et al.]. Dynamic population artificial bee colony algorithm for multi-objective optimal power flow. Saudi Journal of Biological Sciences Vol. 24, no. 3 (Mar. 2017), pp.703-710.
https://search.emarefa.net/detail/BIM-761805
American Medical Association (AMA)
Ding, Man& Chen, Hanning& Lin, Na& Jing, Shikai& Liu, Fang& Liang, Xiaodan…[et al.]. Dynamic population artificial bee colony algorithm for multi-objective optimal power flow. Saudi Journal of Biological Sciences. 2017. Vol. 24, no. 3, pp.703-710.
https://search.emarefa.net/detail/BIM-761805
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 710
Record ID
BIM-761805