Analytical Nonlinear Reluctance Model of a Single-Phase Saturated Core Fault Current Limiter
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Citations
A survey on fault current limiters: Development and technical aspects
A Multifunction High-Temperature Superconductive Power Flow Controller and Fault Current Limiter
Inductive fault current limiters: A review
Electromagnetic Transient Analysis of the Saturated Iron-Core Superconductor Fault Current Limiter
Parameter Design and Performance Investigation of a Novel Bridge-Type Saturated Core Fault Current Limiter
References
Simulation of HTS saturable core-type FCLs for MV distribution systems
Modeling and test validation of a 15kV 24MVA Superconducting Fault Current Limiter
Design and development of a 3-Phase saturated core High Temperature Superconducting Fault Current Limiter
Performance of a 1 MV A high temperature superconductors-enabled saturable magnetic core-type fault current limiter
The high voltage problem in the saturated core HTS fault current limiter
Related Papers (5)
Experimental Analysis of the Magnetic Flux Characteristics of Saturated Core Fault Current Limiters
Frequently Asked Questions (11)
Q2. What are the future works mentioned in the paper "Analytical nonlinear reluctance model of a single-phase saturated core fault current limiter" ?
Further research is currently underway to evaluate whether the three tests identified in Section II are still sufficient to determine all of the reluctance values in the closed-core case. Further development of coupling the magnetics to the electric circuit will allow the reluctance model to be integrated into network simulation packages, to analytically determine the electrical characteristics of saturated core FCLs.
Q3. What was used to calculate the resulting flux linkage values for the analytical model?
Matlab was again used to calculate the resulting flux linkage values for the analytical model, while a transient FEA solution of the system was obtained using Magsoft FLUX3D.
Q4. What was the FEA solution for the example system?
The numerical computing environment Matlab was used to calculate the resulting flux linkage values for the analytical model, while a transient FEA solution of the example system was obtained using Magsoft FLUX3D.
Q5. What is the flux linkage of the DC coil?
This is important when considering the flux linkage of the DC coil, as the net flux linkage will be zero; however, the flux linking each side of the coil is non-zero, but equal and opposite (i.e. |φo3l| = |φo3r| and φdc = φo3l + φo3r = 0).
Q6. What is the significance of the flux paths in the arrangement of Fig. 1?
Although this arrangement is not useful as a saturated core FCL (i.e. the AC coils are equivalent to air-core reactors and the DC coil serves no practical purpose), it is beneficial for model development as the significant flux paths are identical to the iron-core cases yet the associated reluctances are constant.
Q7. What was the initial development of the analytical reluctance model?
The initial development of the analytical reluctance model was carried out on a simple single-phase air-core arrangement,2 as shown in Fig.
Q8. How can a circuit be reduced to the circuit shown in Fig. 10?
via Thévenin’s theorem Fig. 10 can be reduced to the circuit shown in Fig. 18.where:Th1 = a ( o + i) + o i o + i (12)andNITh1 = ii + oNIdc (13)If c1 is then considered as the load, further successive reductions can be made as shown in Fig. 19 and Fig. 20.
Q9. What was the reluctance of the simulated AC coils?
In this test the simulated AC coils were wound in opposite directions and connected in series (as is normally the case in a saturated core FCL).
Q10. how many unknowns can be calculated using c and y?
the two remaining unknowns c and ′y can be calculated using (10) and (11) respectively:c = ca − a (10) ′y =(φc3 − φy3) φy3 ( a + p) (11)III.
Q11. What is the equivalent magnetic circuit of the open-core arrangement?
the equivalent magnetic circuit of the open-core arrangement is also identical to that of the air-core arrangement, with the exception being that the core ( c) and yoke ( y) reluctances are nonlinear variables (as shown in Fig. 10).