Yingwei Xiao

Work place: School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, 230009, China

E-mail: xiaoyingwei8@126.com


Research Interests: Engineering


Yingwei Xiao was born in Hefei, China in 1993. She has completed the B.Sc degree in electrical engineering and automation from Anhui Polytechnic University, Wuhu, China in 2015. Currently she is still pursuing her master degree in Hefei University of Technology, Hefei, China. Her research interests include automation of electric power system, micro grid power flow calculation.

Author Articles
Characteristic Research of Single-Phase Grounding Fault in Small Current Grounding System based-on NHHT

By Yingwei Xiao

DOI: https://doi.org/10.5815/ijisa.2016.12.06, Pub. Date: 8 Dec. 2016

Transient analysis is carried out for the single-phase grounding fault in small current grounding system, the transient grounding current expression is derived, and the influence factors are analyzed. Introduces a method for non-stationary and non-linear signal analysis method –Hilbert Huang transform (HHT) to analyze the single phase grounding fault in small current grounding system, HHT can be better used to extract the abundant transient time frequency information from the non-stationary and nonlinear fault current signals. The empirical mode decomposition (EMD) process and the normalized Hilbert Huang transform (NHHT) algorithm are presented, NHHT is used to analyze and verify an example of the nonlinear and non-stationary amplitude modulation signals. Build a small current grounding system in the EMTP_ATP environment, by selecting the appropriate time window to extract the transient signals, NHHT is used to analyze the transient current signals, and the Hilbert amplitude spectrum and the Hilbert marginal spectrum of the zero sequence transient current signals are obtained. Finally, the influences of the fault phase and the grounding resistance on the time-frequency characteristics of the signals are analyzed.

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Research on SVG DC-Side Voltage Control Based-on PSO Algorithm

By Yingwei Xiao

DOI: https://doi.org/10.5815/ijitcs.2016.10.04, Pub. Date: 8 Oct. 2016

The operation flow of particle swarm optimization (PSO) is presented, at the same time the PSO algorithm and GA algorithm are used to find the optimal value of the standard function, simulation results show that the PSO algorithm has better global search performance and faster search efficiency. The inertia weight decreasing strategy of PSO algorithm is studied, the simulation results show that the concave function decreasing strategy can accelerate the convergence rate of the algorithm. The stability control of the DC-side voltage is very important for the static var generator (SVG) compensation, but the disadvantages of the traditional PI control are fixed parameters and poor adaptability of dynamic response, PSO algorithm is introduced to the optimization of PI parameters, so online PSO-PI control and off-line PSO-PI control are obtained, the SVG voltage loop transfer function is used as the controlled object. The simulation results show that the PSO-PI control can satisfy the time varying system of the controlled object with strong adaptability.

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