Optimal Sizing for WindPVBattery System Using Fuzzy c-Means Clustering with Self-Adapted Cluster Number
Joint Authors
Chen, Hongkun
Liu, Xin
Huang, Bing-Qing
Tao, Yu-Bo
Source
International Journal of Rotating Machinery
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Integrating wind generation, photovoltaic power, and battery storage to form hybrid power systems has been recognized to be promising in renewable energy development.
However, considering the system complexity and uncertainty of renewable energies, such as wind and solar types, it is difficult to obtain practical solutions for these systems.
In this paper, optimal sizing for a wind/PV/battery system is realized by trade-offs between technical and economic factors.
Firstly, the fuzzy c-means clustering algorithm was modified with self-adapted parameters to extract useful information from historical data.
Furthermore, the Markov model is combined to determine the chronological system states of natural resources and load.
Finally, a power balance strategy is introduced to guide the optimization process with the genetic algorithm to establish the optimal configuration with minimized cost while guaranteeing reliability and environmental factors.
A case of island hybrid power system is analyzed, and the simulation results are compared with the general FCM method and chronological method to validate the effectiveness of the mentioned method.
American Psychological Association (APA)
Liu, Xin& Chen, Hongkun& Huang, Bing-Qing& Tao, Yu-Bo. 2017. Optimal Sizing for WindPVBattery System Using Fuzzy c-Means Clustering with Self-Adapted Cluster Number. International Journal of Rotating Machinery،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1169558
Modern Language Association (MLA)
Liu, Xin…[et al.]. Optimal Sizing for WindPVBattery System Using Fuzzy c-Means Clustering with Self-Adapted Cluster Number. International Journal of Rotating Machinery No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1169558
American Medical Association (AMA)
Liu, Xin& Chen, Hongkun& Huang, Bing-Qing& Tao, Yu-Bo. Optimal Sizing for WindPVBattery System Using Fuzzy c-Means Clustering with Self-Adapted Cluster Number. International Journal of Rotating Machinery. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1169558
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169558