2023 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
2020 - IEEE Fellow For contributions to modeling and control of high-voltage DC and AC transmission systems
Control theory, Electric power system, Control engineering, Control theory and AC power are his primary areas of study. His work carried out in the field of Control theory brings together such families of science as Transformer, Unified power flow controller and Interior point method. The study incorporates disciplines such as Electrical network, Reliability engineering and Electric power transmission in addition to Electric power system.
His Control theory research includes elements of Control system and Power, Permanent magnet synchronous generator, Induction generator. His Power study integrates concerns from other disciplines, such as Electronic engineering and Electrical engineering. His AC power study incorporates themes from Power factor and Electricity generation.
His primary areas of investigation include Control theory, Electric power system, Power, Electrical engineering and Optics. His Control theory study combines topics in areas such as Control engineering, Power-flow study and Voltage. His study on Electric power system also encompasses disciplines like
The various areas that Xiao-Ping Zhang examines in his Power study include Fault and Terminal. His research on Electrical engineering frequently connects to adjacent areas such as Electricity generation. His study in Optoelectronics extends to Optics with its themes.
Power, Control theory, Voltage, Electric power system and Ionic liquid are his primary areas of study. His research in Power intersects with topics in Terminal, Electrical engineering, Reliability engineering and Turbine. Control theory and Control system are the subjects of his Control theory studies.
The study incorporates disciplines such as Fault and Porosity in addition to Voltage. The various areas that he examines in his Electric power system study include Permanent magnet synchronous generator, Wind power, Sensitivity, Automatic frequency control and Evolutionary algorithm. His biological study deals with issues like Automotive engineering, which deal with fields such as Electric power.
Xiao-Ping Zhang spends much of his time researching Voltage, Control theory, Wind power, Electric power system and Power. His work focuses on many connections between Voltage and other disciplines, such as Maximum power transfer theorem, that overlap with his field of interest in Voltage control, Power flow and Control. His Control theory research integrates issues from Vector control, Wind speed and Electric power transmission.
Xiao-Ping Zhang is interested in Voltage sag, which is a branch of Electric power system. His Power research incorporates elements of Phase-locked loop, Reliability engineering and Automotive engineering. As a part of the same scientific family, he mostly works in the field of AC power, focusing on Active filter and, on occasion, Capacitor and Electronic engineering.
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Flexible AC Transmission Systems: Modelling and Control
Xiao-Ping Zhang;Christian Rehtanz;Bikash Pal.
(2008)
Modeling of Plug-in Hybrid Electric Vehicle Charging Demand in Probabilistic Power Flow Calculations
Gan Li;Xiao-Ping Zhang.
IEEE Transactions on Smart Grid (2012)
Small signal stability analysis and optimal control of a wind turbine with doubly fed induction generator
F. Wu;X.-P. Zhang;K. Godfrey;P. Ju.
Iet Generation Transmission & Distribution (2007)
Adaptive denoising based on SURE risk
Xiao-Ping Zhang;M.D. Desai.
IEEE Signal Processing Letters (1998)
Initial review of methods for cascading failure analysis in electric power transmission systems IEEE PES CAMS task force on understanding, prediction, mitigation and restoration of cascading failures
R. Baldick;B. Chowdhury;I. Dobson;Zhaoyang Dong.
power and energy society general meeting (2008)
Color Image Watermarking Using Multidimensional Fourier Transforms
Tsz Kin Tsui;Xiao-Ping Zhang;D. Androutsos.
IEEE Transactions on Information Forensics and Security (2008)
Multiterminal voltage-sourced converter-based HVDC models for power flow analysis
Xiao-Ping Zhang.
IEEE Transactions on Power Systems (2004)
A retinex-based enhancing approach for single underwater image
Xueyang Fu;Peixian Zhuang;Yue Huang;Yinghao Liao.
international conference on image processing (2014)
DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion
Jiayi Ma;Han Xu;Junjun Jiang;Xiaoguang Mei.
IEEE Transactions on Image Processing (2020)
Basic topology and key devices of the five-terminal DC grid
Guangfu Tang;Zhiyuan He;Hui Pang;Xiaoming Huang.
CSEE Journal of Power and Energy Systems (2015)
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