Computer Solution of Nonlinear Equations for Real-time Fault Current Parameter Identification

2014 ◽  
Vol 11 (16) ◽  
pp. 5835-5842
Author(s):  
Zhihui Huang
Keyword(s):  
Parameter Identification ◽  
Real Time ◽  
Nonlinear Equations ◽  
Fault Current ◽  
Computer Solution ◽  
Current Parameter

A novel saturated open-core fault current limiter and its nonlinear magnetic circuit model

2017 ◽  
Vol 36 (6) ◽  
pp. 1739-1749 ◽  
Author(s):  
Lei Li ◽  
Lin Li
Keyword(s):  
Nonlinear Equations ◽  
Magnetic Circuit ◽  
Physical Experiment ◽  
Circuit Model ◽  
Fault Current ◽  
Fault Current Limiter ◽  
Content Type ◽  
Dc Power ◽  
Current Limiter ◽  
Open Core

Purpose This paper aims to present a novel energy-efficient saturated open-core fault current limiter (FCL) with special permanent magnet (PM) modules. Design/methodology/approach The special PM modules are used to drive the cores of FCL into a saturated state from different directions in the normal operation condition, reducing the DC current of the saturated open-core FCL. An equivalent magnetic circuit model of the saturated open-core FCL with PM modules is built to calculate the magnetic flux density in the cores of FCL. By applying the modified nodal approach on the circuit, the nonlinear equations of the magnetic circuit can be achieved. The Newton – Raphson method is used to solve the nonlinear equations. The model shows good accuracy verified by finite element simulation and a physical experiment. Findings Compared with the original saturated open-core FCL structure with PMs, the novel saturated open-core FCL structure can save 84% DC power. The physical experiment results show that the saturated open-core FCL has a good performance on limiting the fault current. Originality/value A novel saturated open-core FCL structure with PM modules is proposed in this paper. A physical model of the saturated open-core FCL structure with PM modules is manufactured and tested. About 84% DC power can be reduced by using the PM modules in this saturated open-core FCL, and it can save most of the cost of the saturated open-core FCL.

scholarly journals Model-Based Condition Monitoring of a Vanadium Redox Flow Battery

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 3005 ◽  
Author(s):  
Meng ◽  
Xiong ◽  
Lim
Keyword(s):  
Parameter Identification ◽  
Real Time ◽  
Vanadium Redox Flow Battery ◽  
Redox Flow Battery ◽  
Flow Battery ◽  
Model Parameter ◽  
Model Based ◽  
Model Parameter Identification ◽  
Vanadium Redox ◽  
Capacity Decay

The safe, efficient and durable utilization of a vanadium redox flow battery (VRB) requires accurate monitoring of its state of charge (SOC) and capacity decay. This paper focuses on the unbiased model parameter identification and model-based monitoring of both the SOC and capacity decay of a VRB. Specifically, a first-order resistor-capacitance (RC) model was used to simulate the dynamics of the VRB. A recursive total least squares (RTLS) method was exploited to attenuate the impact of external disturbances and accurately track the change of model parameters in realtime. The RTLS-based identification method was further integrated with an H-infinity filter (HIF)-based state estimator to monitor the SOC and capacity decay of the VRB in real-time. Experiments were carried out to validate the proposed method. The results suggested that the proposed method can achieve unbiased model parameter identification when unexpected noises corrupt the current and voltage measurements. SOC and capacity decay can also be estimated accurately in real-time without requiring additional open-circuit cells.

scholarly journals Synthesis of random parameter identification algorithms and estimates of current vessel motion parameters

2020 ◽  
Vol 164 ◽  
pp. 03004
Author(s):  
Nikolay Ivanovskiy ◽  
Ivan Gorychev ◽  
Aleksandr Yashin ◽  
Sergey Bidenko
Keyword(s):  
Angular Velocity ◽  
Parameter Identification ◽  
Real Time ◽  
Angular Position ◽  
Random Parameter ◽  
Moment Of Inertia ◽  
Position Vector ◽  
Random Parameters ◽  
Motion Parameters ◽  
Vessel Motion

The paper considers the task of synthesis of algorithms for identifying random parameters of a vessel, such as attached masses, moment of inertia, and estimating the current parameters of the vessel's motion from real-time measurements of onboard sensors. The task of the synthesis of algorithms for identifying random parameters of the vessel and evaluating the characteristics of the vessel’s movement is to determine (evaluate) the current parameters (attached masses, moment of inertia) and the characteristics of the vessel’s motion (position vector, speed) from the measurements of the vessel’s motion, angular position and angular velocity of the vessel rotation).

A Simulation Tool for On-Line Real Time Parameter Identification

2002 ◽  
Author(s):  
Mario Perhinschi ◽  
Giampiero Campa ◽  
Marcello Napolitano ◽  
Marco Lando ◽  
Luca Massotti ◽  
...  
Keyword(s):  
Parameter Identification ◽  
Real Time ◽  
Time Parameter ◽  
Simulation Tool ◽  
On Line
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