A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm
Joint Authors
Sheng, Wanxing
Song, Xiaohui
Meng, Xiaoli
Liu, Yongmei
Liu, Ke-yan
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A distribution generation (DG) multiobjective optimization method based on an improved Pareto evolutionary algorithm is investigated in this paper.
The improved Pareto evolutionary algorithm, which introduces a penalty factor in the objective function constraints, uses an adaptive crossover and a mutation operator in the evolutionary process and combines a simulated annealing iterative process.
The proposed algorithm is utilized to the optimize DG injection models to maximize DG utilization while minimizing system loss and environmental pollution.
A revised IEEE 33-bus system with multiple DG units was used to test the multiobjective optimization algorithm in a distribution power system.
The proposed algorithm was implemented and compared with the strength Pareto evolutionary algorithm 2 (SPEA2), a particle swarm optimization (PSO) algorithm, and nondominated sorting genetic algorithm II (NGSA-II).
The comparison of the results demonstrates the validity and practicality of utilizing DG units in terms of economic dispatch and optimal operation in a distribution power system.
American Psychological Association (APA)
Sheng, Wanxing& Liu, Ke-yan& Liu, Yongmei& Meng, Xiaoli& Song, Xiaohui. 2013. A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-487712
Modern Language Association (MLA)
Sheng, Wanxing…[et al.]. A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm. Journal of Applied Mathematics No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-487712
American Medical Association (AMA)
Sheng, Wanxing& Liu, Ke-yan& Liu, Yongmei& Meng, Xiaoli& Song, Xiaohui. A New DG Multiobjective Optimization Method Based on an Improved Evolutionary Algorithm. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-487712
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487712