Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Lie Xia"'
Publikováno v:
Energies, Vol 13, Iss 6, p 1312 (2020)
In this paper, a model predictive control (MPC) scheme with an enhanced active voltage vector region (AV2R) was developed and implemented to achieve better steady-state performance and lower total harmonic distortion (THD) of the output current for a
Externí odkaz:
https://doaj.org/article/f70fc4062a3644ec83fcb10b888a2b50
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789819904075
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8be49d574ee90498febf8524a631cd98
https://doi.org/10.1007/978-981-99-0408-2_121
https://doi.org/10.1007/978-981-99-0408-2_121
Publikováno v:
2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f5a35ef87313d12946e3d6a23199e6b
https://doi.org/10.1109/ei256261.2022.10116432
https://doi.org/10.1109/ei256261.2022.10116432
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112543- (2024)
As the pace of industrialization and urbanization accelerates, water quality management faces increasing challenges, with traditional methods for pollutant source apportionment often proving inadequate in handling complex environmental data. This stu
Externí odkaz:
https://doaj.org/article/bb5fad35a36b43fa9c0345565be683ea
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811918698
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f51a5494e2296da7c79972bcf630136a
https://doi.org/10.1007/978-981-19-1870-4_48
https://doi.org/10.1007/978-981-19-1870-4_48
Publikováno v:
2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ffa7ce041a53c8af568da238e40e343
https://doi.org/10.1109/ei252483.2021.9713184
https://doi.org/10.1109/ei252483.2021.9713184
Publikováno v:
2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA).
The typical finite-set model predictive control (FS-MPC) scheme for LC-filtered voltage source inverters (VSIs) lack inertia and damping, and the output current is easy to exceed the limit under the load-step change. Meanwhile, since the current sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c60b6a455932849e6ce12d1d837983d3
https://doi.org/10.1109/iciea51954.2021.9516130
https://doi.org/10.1109/iciea51954.2021.9516130
Publikováno v:
2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA).
This paper proposes a control method for medium-voltage direct-connected cascaded H-bridge multilevel inverters with model predictive control (MPC) under weak grids. The topology of this inverter and the principle of its finite control set are analyz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f28b4eb872ccd5fd00f84ed9f37be0c0
https://doi.org/10.1109/iciea51954.2021.9516394
https://doi.org/10.1109/iciea51954.2021.9516394
Publikováno v:
Energies, Vol 13, Iss 6, p 1312 (2020)
Energies; Volume 13; Issue 6; Pages: 1312
Energies; Volume 13; Issue 6; Pages: 1312
In this paper, a model predictive control (MPC) scheme with an enhanced active voltage vector region (AV2R) was developed and implemented to achieve better steady-state performance and lower total harmonic distortion (THD) of the output current for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a84d2fa269e0e92d890ca58da3eaa47
https://www.mdpi.com/1996-1073/13/6/1312
https://www.mdpi.com/1996-1073/13/6/1312
Publikováno v:
Agricultural Water Management, Vol 295, Iss , Pp 108784- (2024)
Soil hydraulic properties are essential for understanding soil hydrological and erosion processes. The importance of roots on soil hydraulic parameters has been widely recognized, but current studies have focused mainly on the root effect of a single
Externí odkaz:
https://doaj.org/article/9b2264fc23db4bd78942e31cb35cc32d