Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch
Joint Authors
Ding, Jinjin
Zhang, Qian
Shen, Weixiang
Ma, Jinhui
Li, Guoli
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Multiobjective optimization (MOO) dispatch for microgrids (MGs) can achieve many benefits, such as minimized operation cost, greenhouse gas emission reduction, and enhanced reliability of service.
In this paper, a MG with the PV-battery-diesel system is introduced to establish its characteristic and economic models.
Based on the models and three objectives, the constrained MOO problem is formulated.
Then, an advanced multiobjective particle swarm optimization (MOPSO) algorithm is proposed to obtain Pareto optimization dispatch for MGs.
The combination of archive maintenance and Pareto selection enables the MOPSO algorithm to maintain enough nondominated solutions and seek Pareto frontiers.
The final trade-off solutions are decided based on the fuzzy set.
The benchmark function tests and simulation results demonstrate that the proposed MOPSO algorithm has better searching ability than nondominated sorting genetic algorithm-II (NSGA-II), which is widely used in generation dispatch for MGs.
The proposed method can efficiently offer more Pareto solutions and find a trade-off one to simultaneously achieve three benefits: minimized operation cost, reduced environmental cost, and maximized reliability of service.
American Psychological Association (APA)
Zhang, Qian& Ding, Jinjin& Shen, Weixiang& Ma, Jinhui& Li, Guoli. 2020. Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1196145
Modern Language Association (MLA)
Zhang, Qian…[et al.]. Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1196145
American Medical Association (AMA)
Zhang, Qian& Ding, Jinjin& Shen, Weixiang& Ma, Jinhui& Li, Guoli. Multiobjective Particle Swarm Optimization for Microgrids Pareto Optimization Dispatch. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1196145
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196145