Dilip Moyal - Academia.edu (original) (raw)
Papers by Dilip Moyal
International Journal of Advance Engineering and Research Development, 2015
This paper provides a review of research concerning thesynchronization technique for microgrid re... more This paper provides a review of research concerning thesynchronization technique for microgrid reclosing after islanding operation. It offers a brief review on some of the published work on control for grid connected and intentional islanding operations of microgrid. The future electric grid concept will cover some small parts to be disconnected and work in an autonomous way isolated from the main utility. Control of microgridscomposed by the couple distributed sources-local loadswith the competence of operating in grid-connected and island mode is a trending research area. The presence of an efficient algori thm for synchronizing the microgrid with the main grid every time the reclosure is allowed is crucial for assuring a safe operation.DG units are significantly and conceptually very different from conventional power system in terms of load characteristics, power quality constraints, market participation strategies and the control and operational strategies.
International journal of scientific research in science, engineering and technology, Feb 25, 2016
Power quality has become an important Role in power systems. The main causes of a poor power qual... more Power quality has become an important Role in power systems. The main causes of a poor power quality are harmonic currents, poor power factor, supply-voltage variations, etc. To mitigate power quality problems, we have various equipments like active filter, passive filter, unified power flow controller and unified power quality conditioner etc. from them unified power quality conditioner was widely studied by many researchers as an eventual method to Improve power quality of electrical distribution System. To obtain the proper operation from UPQC, we need to control power filters of UPQC. To control them, there are different topology has been introduce. In this paper, several techniques a r e discussed and compared in terms of performance and implementation.
2021 International Conference on Intelligent Technologies (CONIT)
Power quality deterioration is one of the major problems in the area of power system. Usually, de... more Power quality deterioration is one of the major problems in the area of power system. Usually, deterioration in power quality happens because of various environmental like animal contact, tree contact, vehicle collision, and electrical factors like electrical equipment malfunction or failure. Every source amounts to dropping the level of power quality by distorting the voltage and current waveforms. Some distortions, such as swag, swell, and transient are reflected in the waveform showing peculiar signatures. It is desirable that using suitable computational methods identify the occurrence of such signatures in the voltage/current waveform so that their source can be tracked, rectified, and eventually an uninterrupted and good quality power supply can be given to the consumers. Therefore, this paper proposes machine learning methods for automatically identification of power quality disturbances utilizing voltage waveforms. Artificial neural network (ANN) is used on a set of features extracted from the voltage waveforms of the EPRI power quality dataset. Features based on root mean squared method, Fourier transform, and wavelet packet decomposition are extracted for the identification of the power quality disturbance in voltage waveform which are categorized into five types: normal voltage, voltage sag, swell, sag with transient and oscillatory transient. These features are applied to ANN for classification yields an output accuracy of 93.33%.
International Journal of Advance Engineering and Research Development, 2015
This paper provides a review of research concerning thesynchronization technique for microgrid re... more This paper provides a review of research concerning thesynchronization technique for microgrid reclosing after islanding operation. It offers a brief review on some of the published work on control for grid connected and intentional islanding operations of microgrid. The future electric grid concept will cover some small parts to be disconnected and work in an autonomous way isolated from the main utility. Control of microgridscomposed by the couple distributed sources-local loadswith the competence of operating in grid-connected and island mode is a trending research area. The presence of an efficient algori thm for synchronizing the microgrid with the main grid every time the reclosure is allowed is crucial for assuring a safe operation.DG units are significantly and conceptually very different from conventional power system in terms of load characteristics, power quality constraints, market participation strategies and the control and operational strategies.
International journal of scientific research in science, engineering and technology, Feb 25, 2016
Power quality has become an important Role in power systems. The main causes of a poor power qual... more Power quality has become an important Role in power systems. The main causes of a poor power quality are harmonic currents, poor power factor, supply-voltage variations, etc. To mitigate power quality problems, we have various equipments like active filter, passive filter, unified power flow controller and unified power quality conditioner etc. from them unified power quality conditioner was widely studied by many researchers as an eventual method to Improve power quality of electrical distribution System. To obtain the proper operation from UPQC, we need to control power filters of UPQC. To control them, there are different topology has been introduce. In this paper, several techniques a r e discussed and compared in terms of performance and implementation.
2021 International Conference on Intelligent Technologies (CONIT)
Power quality deterioration is one of the major problems in the area of power system. Usually, de... more Power quality deterioration is one of the major problems in the area of power system. Usually, deterioration in power quality happens because of various environmental like animal contact, tree contact, vehicle collision, and electrical factors like electrical equipment malfunction or failure. Every source amounts to dropping the level of power quality by distorting the voltage and current waveforms. Some distortions, such as swag, swell, and transient are reflected in the waveform showing peculiar signatures. It is desirable that using suitable computational methods identify the occurrence of such signatures in the voltage/current waveform so that their source can be tracked, rectified, and eventually an uninterrupted and good quality power supply can be given to the consumers. Therefore, this paper proposes machine learning methods for automatically identification of power quality disturbances utilizing voltage waveforms. Artificial neural network (ANN) is used on a set of features extracted from the voltage waveforms of the EPRI power quality dataset. Features based on root mean squared method, Fourier transform, and wavelet packet decomposition are extracted for the identification of the power quality disturbance in voltage waveform which are categorized into five types: normal voltage, voltage sag, swell, sag with transient and oscillatory transient. These features are applied to ANN for classification yields an output accuracy of 93.33%.