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Bach Quoc Khanh
Observed names:
B. Q. Khanh,
Bach Q. Khanh,
Khanh, Bach Quoc
Institution:
Ho Chi Minh City University of Technology and Engineering
Observed institutions:
Ho Chi Minh City University of Technology and Engineering,
Thai Nguyen University of Technology,
Trường Đại học Khoa học và Công nghệ Hà Nội,
Hanoi University of Science and Technology
OpenAlex ID:
A5111994416
Fault Distribution Modeling Using Stochastic Bivariate Models for Prediction of Voltage Sag in Distribution Systems
2008
·
Bach Quoc Khanh
, Dong-Jun Won
, et al.
·
IEEE Transactions on Power Delivery
·
20
Comparative simulation results of DVR and D-STATCOM to improve voltage quality in distributed power system
2017
·
Nguyen Van Minh
, Bach Quoc Khanh
, et al.
·
International Conference on System Science and Engineering
·
14
Mitigating voltage sags due to DOL starting of three phase asynchronous motors using dynamic voltage restorer (DVR)
2012
·
Bach Q. Khanh
, J. Lian
, et al.
·
10
A new model applied to the planning of distribution systems for competitive electricity markets
2011
·
V. V. Thang
, D. Q. Thong
, et al.
·
IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies
·
9
A New Comparison of D-FACTS Performance on Global Voltage Sag Compensation in Distribution System
2019
·
Bach Quoc Khanh
·
IEEE Asia Power and Energy Engineering Conference (APEEC)
·
6
On Optimally Positioning a Multiple of Dynamic Voltage Restorers in Distribution System for Global Voltage Sag Mitigation
2019
·
Bach Quoc Khanh
·
IEEE Asia Power and Energy Engineering Conference (APEEC)
·
5
A novel model to determine optimizing power and capacity for energy storage systems on competitive electricity markets
2011
·
V. V. Thang
, N. H. Kong
, et al.
·
IEEE International Conference on Power Electronics and Drive Systems (PEDS)
·
5
Prediction of voltage sag in the transmission system of Vietnam, A case study
2011
·
Bach Quoc Khanh
, Nguyen Hong Phuc
·
IEEE PES Power Systems Conference and Exposition
·
5
Integrating Multi-agent System, Geographic Information System, and Reinforcement Learning to Simulate and Optimize Traffic Signal Control
2018
·
Hoang Van Dong
, Bach Quoc Khanh
, et al.
·
Advances in intelligent systems and computing
·
4
Analysis of DSM's impacts on electric energy loss in distribution system using VPI model
2011
·
Bach Quoc Khanh
·
IEEE Power Engineering Society General Meeting
·
4
Assessment of voltage SAG in distribution system regarding the uncertainty of wind-based distributed generation
2011
·
Bach Quoc Khanh
·
Conference proceedings - Canadian Conference on Electrical and Computer Engineering
·
4
Fault distribution modeling using stochastic bivariate models for prediction of voltage sag in distribution systems
2008
·
Bach Quoc Khanh
, Dong-Jun Won
, et al.
·
IEEE PES Transmission and Distribution Conference and Exhibition
·
3
Optimally selecting the location of a multiple of D‐statcoms for the improvement of SARFIX due to faults in the IEEE 33‐bus distribution system
2019
·
Bach Quoc Khanh
, Masahide Hojo
·
IEEJ Transactions on Electrical and Electronic Engineering
·
2
A New Model Applied to the Distribution System Planning for Competitive Electricity Markets
2013
·
Vu Van Thang
, Bach Quoc Khanh
, et al.
·
International Journal of Energy Engineering
·
2
PDF
A Novel Model Calculated Distribution Systems Planning Intergrated Distribution Generators for Competitive Electricity Markets
2013
·
V. V. Thang
, N. T. D. Thuy
, et al.
·
Journal of Software Engineering and Applications
·
1
PDF
Assessment of voltage sag in distribution system regarding the uncertainty of wind based distributed generation
2011
·
Bach Quoc Khanh
·
IEEE Energytech
·
1
Analyzing the Impact of Hydrogen in the Operation of Electric Power Generation
2024
·
Nguyen Van Tien Thang
, Bach Quoc Khanh
, et al.
·
International Conference on Green Technology and Sustainable Development (GTSD)
SARFIX improvement for distribution system by dynamic voltage restorer considering its limited current
2019
·
Khanh, Bach Quoc
·
Science & Technology Development Journal - Engineering and Technology
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Works count:
18
Citation count:
95
H-index:
5
I10-index:
3
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