Power Quality Monitoring Articles & Analysis
13 articles found
The power quality monitoring application dQuality from Dlaboratory Sweden AB (publ) has turned out to be not only an efficient solution monitoring reactive power from wind production, or keeping track of harmonic distortions, but a useful tool for grid planning and investment. Monitoring ...
Respond to peak load: The use of energy meter device to monitor power instantaneous data in real time can help enterprises respond to peak load in a timely manner, reasonably allocate power resources, and ensure the stable operation of equipment. This is especially important for businesses that use a lot of electricity to avoid equipment failures ...
The prepayment energy meter integrates a microprocessor, communication interface, memory, and other components that enable it to perform high-precision energy measurements, power parameter measurements, power quality monitoring, and other functions. ...
AMI system is mainly composed of AMI electricity meter, communication network, metering data management system (MDMS), home area network(HAN), is a two-way communication system between AMI power meter and power operator, providing real-time energy consumption data for power companies, and providing correct decision-making basis through the ...
The load control function means that the meter is designed with high quality relays inside, which can be switched on and off according to the requirements to achieve the purpose of controlling the power supply, which is the key function of intelligent management and control. ...
Delivering Excellence to Customers and Growth to Partners Unique in industry, the award-winning EcoXpert program offers an esteemed partnership between Schneider Electric and a truly global, cross-expertise ecosystem of solution providers. Certified on EcoStruxure, EcoXperts employ some of the highest levels of competency in the industry, delivering integrated building control, reliable power ...
In my last post, I talked about the difficulties faced by facility teams in keeping critical power facilities running safely, reliably, efficiently, and compliant with regulations. We looked at the many hidden risks that make these goals even more challenging. A digitally-connected power distribution system gives you the deep insights you need so you’re no longer ‘working ...
SMZ 133 - advanced power monitor and datalogger with 512 Mb internal memory, rich selection of programmable inputs and outputs and with advanced communication options. ...
Disturbances such as voltage sag, swell, interruption and harmonics are very typical in a power system. Power quality monitoring should be capable of identifying these disturbances to initiate mitigation action and protect sensitive loads. This paper presents wavelet–neural network–based detection and classification of ...
The objective of this paper is to implement an ADAptive LINear Element (ADALINE) for real-time measurement of harmonics in load current waveform using a digital signal processor (DSP). Harmonics cause many ill effects and reduce power quality. Harmonics are being measured by fast fourier transform (FFT) algorithm executed on a microprocessor or DSP system. The FFT algorithm implemented as per ...
The paper presents the S-transform (ST) technique as a new tool for power quality indices measurement. A key feature of the ST is its accurate time-frequency (amplitude and phase) domain. With this feature, it is possible to redefine the calculation of the power quality indices in the ST domain based on the harmonic content of the signals. In addition, using the time information provided by this ...
The operation of wind turbines has an impact on the power quality at the connected electric network. The integration of wind electric generators with the power grid becomes a headache for power engineers in several aspects. Harmonic distortion is one of the most important phenomena which affect the grid performance. This paper provides an in-depth discussion on harmonic and interharmonic ...
This paper presents a new technique for detecting and characterising disturbances in power systems based on wavelet transforms. The voltage signal under investigation is often corrupted by noises, therefore the voltage signal is first denoised using wavelet thresholding and then wavelet transform is applied to the denoised signal. ...