Opposition-Based Improved PSO for Optimal Reactive Power Dispatch and Voltage Control
Joint Authors
Cao, Shengrang
Ding, Xiaoqun
Wang, Qingyan
Chen, Bingyan
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
An opposition-based improved particle swarm optimization algorithm (OIPSO) is presented for solving multiobjective reactive power optimization problem.
OIPSO uses the opposition learning to improve search efficiency, adopts inertia weight factors to balance global and local exploration, and takes crossover and mutation and neighborhood model strategy to enhance population diversity.
Then, a new multiobjective model is built, which includes system network loss, voltage dissatisfaction, and switching operation.
Based on the market cost prices, objective functions are converted to least-cost model.
In modeling process, switching operation cost is described according to the life cycle cost of transformer, and voltage dissatisfaction penalty is developed considering different voltage quality requirements of customers.
The experiment is done on the new mathematical model.
Through the simulation of IEEE 30-, 118-bus power systems, the results prove that OIPSO is more efficient to solve reactive power optimization problems and the model is more accurate to reflect the real power system operation.
American Psychological Association (APA)
Cao, Shengrang& Ding, Xiaoqun& Wang, Qingyan& Chen, Bingyan. 2015. Opposition-Based Improved PSO for Optimal Reactive Power Dispatch and Voltage Control. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074651
Modern Language Association (MLA)
Cao, Shengrang…[et al.]. Opposition-Based Improved PSO for Optimal Reactive Power Dispatch and Voltage Control. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1074651
American Medical Association (AMA)
Cao, Shengrang& Ding, Xiaoqun& Wang, Qingyan& Chen, Bingyan. Opposition-Based Improved PSO for Optimal Reactive Power Dispatch and Voltage Control. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074651
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074651