Detection of voltage sag by artificial neural network and mitigation using DSTATCOM

Singh, Mithilesh; Chacko, Sajii T.; Zadgaonkar, A. S.

doi:10.1109/icpces.2012.6508032

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…The convergence coefficient which decides the rate of convergence and the accuracy of the control signal simultaneously plays an important role in this method. Although higher values of the coefficient provide faster convergence towards the final value, the accuracy of the result will be decreased as well [8]. The main weakness of the ANNbased methods is the need of a massive training data to improve the training process.…”

Section: Artificial Neural Networkmentioning

confidence: 97%

A novel controller for a voltage controlled voltage source inverter to mitigation voltage fluctuations measured at the point of common coupling

et al. 2015

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Section: Artificial Neural Networkmentioning

confidence: 97%

A novel controller for a voltage controlled voltage source inverter to mitigation voltage fluctuations measured at the point of common coupling

et al. 2015

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“…DSTATCOM is an important device in electric power system, when compared with other kinds of devices, it can solve voltage sag, bulge (swell), harmonic distortion, oscillation, flickering, threephase voltage imbalance and other power quality problems [21], therefore, it has the with great interest in the distribution system and development trend of reactive power compensation and power quality control at present [22][23][24].…”

Section: Distribution Static Compensatormentioning

confidence: 99%

Voltage Sag Enhancement of Hybrid PV-wind system

Hammad

El‐Hameed

2022

The Egyptian International Journal of Engineering Sciences and

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Considered one of the most essential problems of power quality, Voltage Sag is related to renewable based distributed generation (DG) units. Using two types of compensators: Distribution Static, also known as (D-STATCOM) and Static VAR, also known as (SVC), this paper handles the issue of voltage sag. Modeling and simulation of hybrid PV-Wind system is proposed in this study. The proposed system is examined under voltage sag incident caused by two factors: a sudden heavy load and faults that are related to short circuit, e.g., single line to ground, double line to ground and three phases to ground faults. A hybrid wind-PV system is presented using MATLAB/ SIMULINK software package. According to the simulation results, the voltage sag is effectively mitigated after using D-STATCOM, which shows efficient voltage recovery compared with SVC.

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A novel single-phase phase space-based voltage mode controller for distributed static compensator to improve voltage profile of distribution systems

Shokri

Shareef

Mohamed

et al. 2014

Energy Conversion and Management

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Detection of voltage sag by artificial neural network and mitigation using DSTATCOM

Cited by 8 publications

References 5 publications

A novel controller for a voltage controlled voltage source inverter to mitigation voltage fluctuations measured at the point of common coupling

A novel controller for a voltage controlled voltage source inverter to mitigation voltage fluctuations measured at the point of common coupling

Voltage Sag Enhancement of Hybrid PV-wind system

A novel single-phase phase space-based voltage mode controller for distributed static compensator to improve voltage profile of distribution systems

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