A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm
Joint Authors
Zhang, Guoping
Wang, Weijun
Du, Jie
Liu, Hua
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-07
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
Microgrid is an effective way to utilize renewable energy resources, especially for satisfying the electricity requirements in remote islands.
The operation optimization of an island microgrid is critical to ensure the effective performance of the whole microgrid system, and it is usually a multiconstrained and multiobjective optimization problem.
The main contribution of this study is an operation optimization method for the stand-alone microgrid system in a remote island, which includes wind, PV, battery, and diesel generator.
In this paper, a novel operation optimization model for stand-alone microgrid is proposed, in which the battery system is considered separately; the multiobjective day-ahead optimization model considering economic cost, battery depreciation cost, and environmental protection cost is established.
In the optimization, the output power of diesel generator and energy storage system are chosen as the decision variables.
For this purpose, an efficient search algorithm combining the particle swarm optimization (PSO) algorithm and the simulated annealing (SA) algorithm is developed.
The hybrid algorithm is applied to search for the Pareto solution set of the optimization problem.
The search results are compared with those from traditional PSO algorithm.
Also, a grey target decision-making theory based on the entropy weight method is proposed to identify the best trade-off scheduling scheme among all the solutions, and the results are compared with those from two other commonly used subjective and objective methods.
The results show that the proposed optimization method can be applied to the day-ahead operation optimization of the microgrid system and help the user obtain the best compromise operation scheme for stand-alone microgrid.
American Psychological Association (APA)
Zhang, Guoping& Wang, Weijun& Du, Jie& Liu, Hua. 2020. A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm. Journal of Electrical and Computer Engineering،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1183940
Modern Language Association (MLA)
Zhang, Guoping…[et al.]. A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm. Journal of Electrical and Computer Engineering No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1183940
American Medical Association (AMA)
Zhang, Guoping& Wang, Weijun& Du, Jie& Liu, Hua. A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm. Journal of Electrical and Computer Engineering. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1183940
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183940