Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage
Joint Authors
He, Hengjing
Zhou, Shangli
Zhang, Leping
Lin, Junhong
Chen, Weile
Wu, Di
Source
Journal of Control Science and Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Based on the intelligent bidirectional interactive technology, this paper studies the flexible working mode and optimal power consumption strategy of several typical power consumption loads including energy storage equipment.
Based on the real-time price scheme, the objective function and constraints are obtained, and the adaptive algorithm for beetle swarm optimization with variable whisker length is used to optimize so that the electric equipment can automatically change its power load through the intelligent terminal and even work in the way of reverse power transmission.
The proposed optimal scheduling algorithm can not only maximize the interests of users but also ensure the minimum peak to average ratio so as to realize peak shaving and valley filling.
Simulation results verify the effectiveness of the algorithm.
American Psychological Association (APA)
He, Hengjing& Zhou, Shangli& Zhang, Leping& Lin, Junhong& Chen, Weile& Wu, Di. 2020. Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage. Journal of Control Science and Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1182740
Modern Language Association (MLA)
He, Hengjing…[et al.]. Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage. Journal of Control Science and Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1182740
American Medical Association (AMA)
He, Hengjing& Zhou, Shangli& Zhang, Leping& Lin, Junhong& Chen, Weile& Wu, Di. Beetle Swarm Optimization Algorithm-Based Load Control with Electricity Storage. Journal of Control Science and Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1182740
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182740