Enhanced GSA-Based Optimization for Minimization of Power Losses in Power System
Joint Authors
Chen, Gonggui
Liu, Lilan
Huang, Shanwai
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-21
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Gravitational Search Algorithm (GSA) is a heuristic method based on Newton’s law of gravitational attraction and law of motion.
In this paper, to further improve the optimization performance of GSA, the memory characteristic of Particle Swarm Optimization (PSO) is employed in GSAPSO for searching a better solution.
Besides, to testify the prominent strength of GSAPSO, GSA, PSO, and GSAPSO are applied for the solution of optimal reactive power dispatch (ORPD) of power system.
Conventionally, ORPD is defined as a problem of minimizing the total active power transmission losses by setting control variables while satisfying numerous constraints.
Therefore ORPD is a complicated mixed integer nonlinear optimization problem including many constraints.
IEEE14-bus, IEEE30-bus, and IEEE57-bus test power systems are used to implement this study, respectively.
The obtained results of simulation experiments using GSAPSO method, especially the power loss reduction rates, are compared to those yielded by the other modern artificial intelligence-based techniques including the conventional GSA and PSO methods.
The results presented in this paper reveal the potential and effectiveness of the proposed method for solving ORPD problem of power system.
American Psychological Association (APA)
Chen, Gonggui& Liu, Lilan& Huang, Shanwai. 2015. Enhanced GSA-Based Optimization for Minimization of Power Losses in Power System. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074052
Modern Language Association (MLA)
Chen, Gonggui…[et al.]. Enhanced GSA-Based Optimization for Minimization of Power Losses in Power System. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1074052
American Medical Association (AMA)
Chen, Gonggui& Liu, Lilan& Huang, Shanwai. Enhanced GSA-Based Optimization for Minimization of Power Losses in Power System. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074052
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074052