Power Electronic Applications in Power and Energy Systems-Reference-Cited by-同舟云学术

Power Electronic Applications in Power and Energy Systems

Published:2023-02-28 Issue:5 Volume:13 Page:3110
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Anvari-Moghaddam Amjad¹^ORCID,Davari Pooya¹^ORCID,Hegazy Omar²^ORCID

Affiliation:

1. Department of Energy (AAU Energy), Aalborg University, 9220 Aalborg, Denmark

2. Department of Electrical Engineering and Energy Technology (ETEC), Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium

Abstract

Modern environmental policies, carbon emission reduction targets, stimulus funding for economy recovery, end-use energy efficiency, objectives for higher reliability, and service quality in energy systems are a few of the factors driving forces behind the integration of advanced control and communication technologies into energy systems [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/5/3110/pdf

Reference14 articles.

1. Alhasheem, M., Blaabjerg, F., and Davari, P. (2019). Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms. Appl. Sci., 9.

2. Madzharov, N., and Hinov, N. (2019). Flexibility of Wireless Power Transfer Charging Station Using Dynamic Matching and Power Supply with Energy Dosing. Appl. Sci., 9.

3. Zhang, W., Yan, X., and Huang, H. (2020). Performance Tuning for Power Electronic Interfaces Under VSG Control. Appl. Sci., 10.

4. Liu, J., Yang, J., Xu, Z., Zhang, Z., and Song, P. (2020). Regulation Principles of Power Flow Gradients to Multiple Characteristic Independent Variables in UPFC Embedded Power System. Appl. Sci., 10.

5. Mahmod Mohammad, A., Mohd Radzi, M., Azis, N., Shafie, S., and Atiqi Mohd Zainuri, M. (2020). An Enhanced Adaptive Perturb and Observe Technique for Efficient Maximum Power Point Tracking Under Partial Shading Conditions. Appl. Sci., 10.