Simulation study on electric loss assessment model in solar power generation Online publication date: Sun, 14-May-2023
by Chongyu Cui; Zhaoxia Li; Xiaoyan Jiang
International Journal of Critical Infrastructures (IJCIS), Vol. 19, No. 3, 2023
Abstract: In order to solve the problem of insufficient adaptive optimisation ability and insufficient evaluation accuracy when faced with a large number of calculations of existing solar power loss evaluation methods, a power loss evaluation model based on fuzzy information fusion is proposed. Through the comprehensive power quality index parameters, the output characteristic value of the power loss evaluation in solar power generation is obtained, and the power loss fuzzy control is performed. The power loss evaluation relationship in energy generation is extracted, and the power loss quality information fusion in solar energy generation is completed. Combined with the association rule constraint reconstruction, the power loss evaluation model of solar power generation is constructed. The simulation results show that the accuracy of power loss assessment is high, and the degree of information fusion is good, which improves the quality of solar power generation.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Critical Infrastructures (IJCIS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook