Electromagnetic and thermal behavior of a single-phase transformer during Ferroresonance considering hysteresis model of core

Mikhak-Beyranvand, Morteza; Faiz, Jawad; Rezaei-Zare, Afshin; Rezaeealam, Behrooz

doi:10.1016/j.ijepes.2020.106078

Cited by 19 publications

(10 citation statements)

References 31 publications

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“…Also, the theory of non-linear system dynamics was proposed and discussed in [19]. Currently, other models have been explored such as [20], where a dynamic model of the transformer takes into account the dependence of frequency and peak induction which is implemented with the aim of identifying the stability at critical points and in [21] modeled the core hysteresis loop and the electromagnetic and thermal behaviors are analyzed during ferroresonance.…”

Section: B Ferroresonance Modelingmentioning

confidence: 99%

“…For instance, in [3] the stochastic behavior of ferroresonance is analyzed, showing that the parameters are fundamental in the phenomenon analysis. In [4] the methodology is developed through mathematical analysis, which is verified by an experimental test; in [5] an analysis of thermal behavior of the transformer under ferroresonance condition is also studied by using a finite element model.…”

Section: Introductionmentioning

confidence: 99%

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Ferroresonance Modeling and Analysis in Underground Distribution Feeders

Torres-García,

Solís-Ramos,

González-Cabrera

et al. 2023

IEEE Open J. Power Energy

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Nowadays, many modern electrical power systems are designed for transmission and distribution using underground systems. Such systems minimize visual impact, reduce congestion, and increase security and reliability. However, the technology utilized has increased the capacitance effect, which can lead to the system being more susceptible to the occurrence of the ferroresonance phenomenon. Ferroresonance can cause dielectric or thermal damage and consequently makes the system susceptible to faults in the electrical power equipment and installations. This paper analyzes the ferroresonance phenomenon after switching maneuvers in a real underground distribution feeder to detect possible conditions of ferroresonance. The analysis is carried out in a typical underground distribution system with distribution transformers connected in wye-grounded/wye-grounded (Ynyn), and modeled using the ATP/EMTP software.

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Section: B Ferroresonance Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ferroresonance Modeling and Analysis in Underground Distribution Feeders

Torres-García,

Solís-Ramos,

González-Cabrera

et al. 2023

IEEE Open J. Power Energy

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“…According to the variable-current compensation principle of the force sensor, the force magnetization and current compensation need to be modeled. At present, the main methods for describing GMM hysteresis include experimental approaches [38], the J-A model [39,40], the Preisach model [41], and other intelligent models [42,43]. The experimental method requires large amounts of data, which are difficult to obtain.…”

Section: Magnetization Model and Hysteresis Compensationmentioning

confidence: 99%

Research on Hysteresis Modeling and Compensation Method of Giant Magnetostrictive Force Sensor

Wang

Shi

et al. 2021

Journal of Sensors

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Linearity is an important index for evaluating the performance of various sensors. Under the Villari effect, there may be some hysteresis between the input force and the output voltage of a force sensor, meaning that the output will be multivalued and nonlinear. To improve the linearity and eliminate the hysteresis of such sensors, an output compensation method using a variable bias current is proposed based on the bidirectional energy conversion mechanism of giant magnetostrictive material. First, the magnetization relationship between the input force, bias current, and flux density is established. Second, a nonlinear neural network model of the force-magnetization hysteresis and a neural network model for the compensation control of the force sensor are established. These models are trained using the magnetic flux density-force curve and the magnetic flux density-current curve, respectively. Taking the optimal linearity as the objective function, the bias current under different input forces is optimized. Finally, a bias current control system is developed and an experimental test platform is built to verify the proposed method. The results show that the proposed variable bias current hysteresis compensation method enables the linearity under the return of the force sensor to reach 1.6%, which is around 48.3% higher than under previous methods. Thus, the proposed variable bias current method effectively suppresses the hysteresis phenomenon and provides improved linearity for giant magnetostrictive force sensors.

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“…The obtained results show that the IVT heating occurs in an interval of hours. In [ 31 ], it is shown that the IVT heating increases with the line capacitance, and, therefore, preventing the ferroresonance by reducing the length of the line would make its detection more difficult by measuring the IVT temperature. Alternatively, in [ 32 ], the IVT vibrations during ferroresonance events are sensed through a 0.3–18

accelerometer, and the proposed detection algorithm is implemented in a 8-bit 16

µC.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Noise-Based Detection of Ferroresonance Events in Isolated Neutral Power Systems with Inductive Voltage Transformers

Martínez

Arroyo

Pigazo

et al. 2022

Sensors

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Power-quality events and operation transients in power systems (PS) with isolated neutral can saturate inductive voltage transformers (IVT), which, when interacting with the overhead and underground cable capacitances, can cause ferroresonance events in the local PS. This abnormal operating mode can partially or totally damage the transformers and switchgears within the affected PS. Distribution system operators (DSO) can minimize these effects by detecting ferroresonance events accurately and fast enough and changing the mode of operation accordingly. Direct detection methods, i.e., based on voltage measurements, are reliable, but the massive deployment of this solution is relatively expensive; i.e., power quality analyzers cost thousands of USD. Alternatively, indirect detection methods are also available, e.g., IVT vibration measurements with accelerometers costing hundreds of USD, but their reliability depends on the installation method used. This manuscript proposes using the acoustic noise caused by magnetostriction forces within the IVT core during ferroresonance events to detect their occurrence. Compared to other indirect methods, electret condenser microphones with preamplifying stage cost less than USD 10 and are less sensitive to the installation procedure. The proposed method is validated experimentally, and its performance compared to IVT vibration measurements one by using the same detection methodology.

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Electromagnetic and thermal behavior of a single-phase transformer during Ferroresonance considering hysteresis model of core

Cited by 19 publications

References 31 publications

Ferroresonance Modeling and Analysis in Underground Distribution Feeders

Ferroresonance Modeling and Analysis in Underground Distribution Feeders

Research on Hysteresis Modeling and Compensation Method of Giant Magnetostrictive Force Sensor

Acoustic Noise-Based Detection of Ferroresonance Events in Isolated Neutral Power Systems with Inductive Voltage Transformers

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