Accurate performance assessment of IM with approximate current unbalance factor for NEMA definition

Singh, Shashi Bhushan; Singh, Asheesh Kumar; Thakur, Padmanabh

doi:10.1109/ichqp.2014.6842805

Cited by 14 publications

(9 citation statements)

References 24 publications

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“…Therefore, in order to measure the asymmetry degree of the generator load, the CUF is used as the reference standard. The CUF is defined as follows [20]:

CUF = \frac{MAX (][, (||, I_{a} - I_{avg}) (||, I_{b} - I_{avg}) (||, I_{c} - I_{avg}))}{I_{avg}}

I_{a v g} = \frac{I_{a} + I_{b} + I_{c}}{3}

where I a , I b and I c are the effective values of the three‐phase currents.…”

Section: Analysis Of the Influence Of The Unbalanced Load On The Gementioning

confidence: 99%

Analysis of the super high‐speed permanent magnet generator under unbalanced load condition

Qiu

Tang

et al. 2017

IET Electric Power Applications

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In this paper, the 117 kW, 60,000 r/min super high‐speed permanent magnet generator (SHSPMG) under unbalanced load condition is studied. First, the influence mechanism of the unbalanced load on the generator was revealed, and by using field‐circuit coupling method and at rated load, the current unbalance factor (CUF) was determined. Second, through the time‐stepping finite element method, the generator air‐gap flux was obtained and decomposed in virtue of the principle of Fourier transform. The influence of the unbalanced load on air‐gap flux was studied, and the eddy current loss and torque ripple with different CUFs were calculated and analysed. Finally, based on the calculation results of two‐dimensional transient electromagnetic field, the negative sequence current was extracted by using the symmetrical component method. The research showed that the harmonic content of air‐gap flux density increases when the generator is connected to unbalanced load, and the eddy current loss and the torque ripple increases with the increase of the load unbalance degree. The experimental platform was established and the test data were in good agreement with the model calculated results, which verified the correctness of the model. The research could provide some useful conclusions for the research of the SHSPMG.

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“…Therefore, in order to measure the asymmetry degree of the generator load, the CUF is used as the reference standard. The CUF is defined as follows [20]:

CUF = \frac{MAX (][, (||, I_{a} - I_{avg}) (||, I_{b} - I_{avg}) (||, I_{c} - I_{avg}))}{I_{avg}}

I_{a v g} = \frac{I_{a} + I_{b} + I_{c}}{3}

where I a , I b and I c are the effective values of the three‐phase currents.…”

Section: Analysis Of the Influence Of The Unbalanced Load On The Gementioning

confidence: 99%

Analysis of the super high‐speed permanent magnet generator under unbalanced load condition

Qiu

Tang

et al. 2017

IET Electric Power Applications

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“…Several studies have been undertaken in order to analyze the relation between these definitions [10], [11]. Moreover, in [12] new unbalance definitions are proposed. In [13] a comparison of the different definitions' behavior under different unbalance cases is given.…”

Section: Voltage Unbalance Definitionsmentioning

confidence: 99%

Voltage unbalance mitigation in LV networks using three-phase PV systems

Bajo

Hashemi

Kjsar³

et al. 2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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In this paper a new method is proposed to mitigate voltage unbalance caused by single-phase solar inverters in low voltage (LV) networks. The method is based on uneven reactive power absorption and injection by three-phase solar inverters. Independent control of each phase is performed to achieve this uneven injection. The average values of phase voltages at the connection points of the photovoltaic (PV) inverters are used as the references for the balancing algorithm. Voltage unbalance mitigation is achieved by use of this method in different scenarios with variable three-phase and single-phase inverters penetration in a realistic LV grid. In addition, the overvoltage is reduced by using this method.

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“…Several standards and publications defined indices to quantify and asses the unbalance conditions such as line voltage unbalance ratio (LVUR) and unbalance current ratio (UCR) . Another commonly used and recommended index defined by the International Electrotechnical Commission (IEC) is the voltage unbalance factor (VUF), and it should not exceed 3% …”

Section: Introductionmentioning

confidence: 99%

“…12 Another commonly used and recommended index defined by the International Electrotechnical Commission (IEC) is the voltage unbalance factor (VUF), and it should not exceed 3%. [13][14][15] Several methods are normally used for load balancing such as load reconfiguration. This method depends on distributing loads manually and automatically among the circuits to balance the distribution system using a feeder switch.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the response of thyristor‐controlled reactor using neural network

Ragab

Ghaeb

Al‐Naimi

2019

Int Trans Electr Energ Syst

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Summary In this paper, a neural network controller is proposed to retrieve the voltage balancing conditions in three‐phase power systems. The neural network is suggested to calculate the required set of firing angles for the thyristor‐controlled reactor accurately to balance the three‐load voltages quickly. The proposed controller is fed by different parameters within different feeding techniques, namely, root mean square (RMS) values of the three load voltages, RMS value of the space vector signal calculated from the three load voltages, and the RMS values of both the three load voltages and their associated space vector. The intentions of the proposed techniques are to combine between reducing the number of measured parameters and providing the controller with qualitative data about system status. The influence of the measured parameters on the neural network performance is examined by calculating the regression coefficients through several test cases. Accordingly, only the effective parameters are utilized to reduce the neural network complexity and to enhance the controller response time. Additionally, the calculations of the controller input parameters are made in terms of space vector cycle, which is half of system sinusoidal cycle. Consequently, the calculation time is reduced significantly. The Aqaba‐Qatrana‐South Amman power system is considered and modeled as a real case study. In addition, several test cases have been conducted to test and validate the ability of the proposed neural network controller in retrieving the voltage balance conditions precisely and quickly. The results have revealed the ability of the proposed neural network controller to calculate the firing angles quickly within 10 milliseconds and achieve very low voltage unbalance factor.

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Accurate performance assessment of IM with approximate current unbalance factor for NEMA definition

Cited by 14 publications

References 24 publications

Analysis of the super high‐speed permanent magnet generator under unbalanced load condition

Analysis of the super high‐speed permanent magnet generator under unbalanced load condition

Voltage unbalance mitigation in LV networks using three-phase PV systems

Enhancing the response of thyristor‐controlled reactor using neural network

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