Residential College | false |
Status | 已發表Published |
Inverse function-based DC power flow model considering network loss and voltage magnitudes | |
Dundun Liu1; Mike Zhou2; Qianhong Wu2; Hongcai Zhang3; Yadan Wang1 | |
2024-02 | |
Source Publication | CSEE Journal of Power and Energy Systems |
DOI | 10.17775/CSEEJPES.2023.02500 |
URL | View the original |
Indexed By | SCIE |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Mike Zhou |
Affiliation | 1.Zhuhai UM Science & Technology Research Institute, Zhuhai 519031, China 2.State Key Laboratory of Power Grid Safety and Energy Conservation (China Electric Power Research Institute), Beijing, 100192 China 3.State Key Laboratory of Internet of Things for Smart City (University of Macau), Macao 999078, China |
Recommended Citation GB/T 7714 | Dundun Liu,Mike Zhou,Qianhong Wu,et al. Inverse function-based DC power flow model considering network loss and voltage magnitudes[J]. CSEE Journal of Power and Energy Systems, 2024. |
APA | Dundun Liu., Mike Zhou., Qianhong Wu., Hongcai Zhang., & Yadan Wang (2024). Inverse function-based DC power flow model considering network loss and voltage magnitudes. CSEE Journal of Power and Energy Systems. |
MLA | Dundun Liu,et al."Inverse function-based DC power flow model considering network loss and voltage magnitudes".CSEE Journal of Power and Energy Systems (2024). |
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