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Power quality compression algorithm : ウィキペディア英語版 | Power quality compression algorithm
A power quality compression algorithm is an algorithm used in power quality analysis. To provide high quality electric power service, it is essential to monitor the quality of the electric signals also termed as power quality (PQ) at different locations along an electrical power network. Electrical utilities carefully monitor waveforms and currents at various network locations constantly, to understand what lead up to any unforeseen events such as a power outage and blackouts. This is particularly critical at sites where the environment and public safety are at risk (institutions such as hospitals, sewage treatment plants, mines, etc.). ==Power quality challenges== Engineers have at their disposal many meters,〔Galli et al.: Exploring the power of wavelet analysis?: Oct 1996, IEEE, IEEE Computer Applications in Power, vol. 9, issue 4, pp. 37-41 ()〕 that are able to read and display electrical power waveforms and calculating parameters of the waveforms. These parameters may include, for example, current and voltage RMS, phase relationship between waveforms of a multi-phase signal, power factor, frequency, THD, active power (KW), reactive power (Kvar), apparent power (KVA) and active energy (KWh), reactive energy (Kvarh) and apparent energy (KVAh) and many more. In order to sufficiently monitor unforeseen events, Ribeiro et al.〔Ribeiro et al.: An enhanced data compression method for applications in power quality analysis? Nov. 29-Dec. 2, 2001, IEEE, The 27th Annual Conference of the IEEE Industrial Electronics Society, 2001. IECON '01, vol. 1, pp. 676-681.()〕 explains that it is not enough to display these parameters, but to also capture voltage waveform data at all times. This is impracticable due to the large amount of data involved, causing what is known the “bottle effect”. For instance, at a sampling rate of 32 samples per cycle, 1,920 samples are collected per second. For three-phase meters that measure both voltage and current waveforms, the data is 6-8 times as much. More practical solutions developed in recent years store data only when an event occurs (for example, when high levels of power system harmonics are detected) or alternatively to store the RMS value of the electrical signals.〔Ribeiro et al.: An improved method for signal processing and compression in power quality evaluation? Apr. 2004, IEEE, IEEE Transactions on Power Delivery, vol. 19, issue 2, pp. 464-471.()〕 This data, however, is not always sufficient to determine the exact nature of problems.
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