Power Quality Monitoring Research Papers (original) (raw)
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Energy saving is of important concern in case of both domestic and industrial buildings. There are various automated systems for power control and energy saving. Most of those methods are based on Wireless Sensor Networks (WSNs). These... more
Energy saving is of important concern in case of both domestic and industrial buildings. There are various automated systems for power control and energy saving. Most of those methods are based on Wireless Sensor Networks (WSNs). These systems has drawback of high false alarms since they are depending on sensor values for generating output. This paper explains a vision based system which works on video surveillances now widely used in buildings. The system will continuously check whether any human is present in the room, if not it will automatically switch off the electrical appliances in the room. The entire project consists of two units. DSP unit for human presence detection via head tracking, Embedded unit for controlling the appliances.
This paper presents an overview of the smart grid developments, analyzed from a power-quality viewpoint; describes the main relations between integration of dispersed generations to the smart grids and power quality issues. Power-quality... more
This paper presents an overview of the smart grid developments, analyzed from a power-quality viewpoint; describes the main relations between integration of dispersed generations to the smart grids and power quality issues. Power-quality monitoring in the smart grid is discussed in detail. Although the smart grid brings many new power-quality challenges, these should not result in unnecessary barriers against the introduction of new technology. One of the most important issues in future grids are the power quality and supply reliability issues. This paper describes how the change to dispersed generation and smart grids should look like and what are the main problems, that need quick and active solutions, so that future grids would be fully functional and reliable.
This paper presents a methodology for the relative location of voltage sags source based on voltage measurements only. Network faults are the most frequent disturbances in the electrical systems and in turn are the causes that generate... more
This paper presents a methodology for the relative location of voltage sags source based on voltage measurements only. Network faults are the most frequent disturbances in the electrical systems and in turn are the causes that generate most voltage sags. Thus, the proposed algorithm considers only voltage sags by network faults, and a minimum of three voltage meters is required. Power quality can be evaluated automatically using the characterizing and extracting information from voltage records. The positive sequence voltages are the descriptors used to determine the relative location of the voltage sags causes, and the methodology is applied to a simulation where its effectiveness is verified. Matlab was used for validating this methodology, and voltage records of simulated voltage sags were generated in ATP-EMTP.
In recent years, sinusoidal waveform of the current and voltage disturbs in the electrical distribution system because of the due to the increasing number of non-linear loads. Many standards of IEC and IEEE standards have been published... more
In recent years, sinusoidal waveform of the current and voltage disturbs in the electrical distribution system because of the due to the increasing number of non-linear loads. Many standards of IEC and IEEE standards have been published in order to limit the voltage and current waveform distortion. The operators of the electricity distribution network widely use the power quality monitoring systems at the point of common connection (PCC). It has been identified that there are substantial number of harmonic currents excess of the standards transferred to the grid according to the data obtained from power quality monitoring systems. In case of exceeding the limits specified in the standards, there is a need to determine the network and customer responsibilities for the implementation of required sanctions. In this study, using recorded data at the PCC of a medium voltage electrical distribution system, voltage and current harmonic distortion responsibilities of the network and customer are determined by the improved harmonic current vector method. Up-to-date load model based on field measurement which provides more accurate results has been used instead of the constant load impedance in the proposed method.
Wind turbine power output monitoring can detect anomalies in turbine performance which have the potential to result in unexpected failure. This study examines common Supervisory Control And Data Acquisition data over a period of... more
Wind turbine power output monitoring can detect anomalies in turbine performance which have the potential to result in unexpected failure. This study examines common Supervisory Control And Data Acquisition data over a period of 20 months. It is common to have more than 150 signals acquired by Supervisory Control And Data Acquisition systems, and applying all is neither practical nor useful. Thus, to address the issue, correlation coefficients analysis has been applied in this work to reveal the most influential parameters on wind turbine active power. Then, radial basis function and multilayer perception artificial neural networks are set up, and their performance is compared in two static and dynamic states. The proposed combination of the feature selection method and the dynamic multilayer perception neural network structure has performed well with favorable prediction error levels compared to other methods. Thus, the combination may be a valuable tool for turbine power curve monitoring.