Research on Fault Location Method Based on Nonlinear Impedance Model

Abstract

In modeling and location analysis, most traditional fault location methods do not consider about the existence of practical nonlinear model in distribution network, such as the nonlinearity of load and grounding resistor. Hence, the adopted model can't express the practical network, and the location results will lose practical meaning. Aiming at solving the question above, this paper proposes a fault area location method for distribution network with Distributed Generation (DG) which takes account of the nonlinearity; the load adopts quadric polynomial model; the grounding resistor adopts the experience formula model; the nonlinear equation constructed by nodal voltage equation will be solved out through quasi-newton algorithm, then the fault area can be located according to the definition of fault feature value. The simulation results in 10 kV distribution network model of the SINPOPEC West-Northern oil field suggest the validity of the proposed fault location method. 

Research on Surveying and Mapping Data Processing Based on Nonlinear Mathematical Models and Deep Learning Optimization

“…With the development of data processing technology and ability unceasing enhancement, the computer in many industrial control occasions, there is a kind of such variables: they are closely related to the quality of the product, should be strictly controlled, but because of economic or technology (such as online measuring instrument is expensive, or not work) in a poor working environment, are hard to measure online, analytical values can only be obtained through off-line laboratory analysis [1]. However, offline laboratory analysis often has the problem of long time lag, which cannot meet the requirements of online real-time control and optimization operation [2].…”