Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Xiangqi Zhu"'
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 10, Pp 141-150 (2023)
This paper presents a comprehensive grid impact analysis design and corresponding mitigation strategies for heavy-duty electric vehicle (EV) charging stations. The charging load of heavy-duty charging station can reach several megawatts, which could
Externí odkaz:
https://doaj.org/article/d65b75bee70240959c517d2559f713be
Publikováno v:
IEEE Transactions on Power Delivery. 38:553-563
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80d61c829cfaf59f0ee583795fa1dfc4
https://doi.org/10.1109/tpwrd.2022.3196604
https://doi.org/10.1109/tpwrd.2022.3196604
Autor:
XIANGQI ZHU
Publikováno v:
2023 9TH INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE.
As the key subject of grassroots governance, sub-district offices are imperative to the society’s smooth operation and cities’ healthy development. In practical grassroots governance, sub-district offices inevitably have some drawbacks, such as j
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d107a72b5350fbee49edf2404c2c2f0
https://doi.org/10.12783/dtssehs/isss2023/36094
https://doi.org/10.12783/dtssehs/isss2023/36094
Publikováno v:
2022 IEEE 49th Photovoltaics Specialists Conference (PVSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad0aced445c967245c9dc10b7cc31a09
https://doi.org/10.1109/pvsc48317.2022.9938823
https://doi.org/10.1109/pvsc48317.2022.9938823
Autor:
Xiangqi Zhu, Barry Mather
Publikováno v:
IEEE Transactions on Smart Grid. 11:1556-1565
This paper presents a data-driven distribution system load modeling methodology targeting quasi-static time-series (QSTS) simulation. The proposed methodology is appropriate for modeling down to the level of the customer transformer, and it has three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4db7f98fca569943a1a6d0dff82fe9d8
https://doi.org/10.1109/tsg.2019.2940084
https://doi.org/10.1109/tsg.2019.2940084
This paper presents a consolidated grid impact analysis design and corresponding mitigation strategies for heavy-duty electric vehicle (EV) charging stations. The charging load of heavy-duty charging station can reach several megawatts, which could i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::793c0512e496c6a8d0225282d6c9312c
Publikováno v:
2021 IEEE Power & Energy Society General Meeting (PESGM).
The load profile at a feeder-head is usually known to utility engineers while the nodal load profiles are not. However, the nodal load profiles are increasingly important for conducting time-series analysis in distribution systems. Therefore, in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9d0601e5deeaad0a5374ba4e0419f4c
https://doi.org/10.1109/pesgm46819.2021.9638034
https://doi.org/10.1109/pesgm46819.2021.9638034
Publikováno v:
IEEE Transactions on Smart Grid. 10:4838-4847
This paper presents a two-stage hierarchical voltage-load sensitivity matrix (VLSM)-based demand response (DR) algorithm for regulating the voltage at distribution feeders while fulfilling the transmission system DR requests. This allows distributed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0dbc8951fc592d2eb618841a5c5ae2f
https://doi.org/10.1109/tsg.2018.2869367
https://doi.org/10.1109/tsg.2018.2869367
Autor:
Roger C. Dugan, Joseph A. Azzolini, Matthew Lave, Wenqi Zhang, Francis Therrien, Marc Bellette, Manohar Chamana, Jason Galtieri, Muhammad Umer Qureshi, Guillaume Hbert, Robert J. Broderick, Jean-Sebastien Lacroix, Randolph Hunsberger, Barry Mather, Xiaochen Zhang, Qinmiao Li, Jeremiah Deboever, Feng Li, Matthew J. Reno, Davis Montenegro, Xiangqi Zhu, Santiago Grijalva, Aadil Latif, Logan Blakely, Andrew Weekley
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fd86d4a464c3e4572e98bb4ba022900
https://doi.org/10.2172/1773234
https://doi.org/10.2172/1773234
Publikováno v:
ISGT
This work presents a systematic methodology for the location selection of fast-charging stations for heavy-duty electric vehicles (EVs) based on both geospatial and electric grid analysis. The geospatial analysis is based on real-world geographic inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5382d595025d5f06f36a3a759ebfd2cd
https://doi.org/10.1109/isgt49243.2021.9372170
https://doi.org/10.1109/isgt49243.2021.9372170