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Flicker Limit Compliance Assessment in the Presence of Background Disturbances

DOI:10.1109/TPWRD.2018.2856822 期刊:IEEE Transactions on Power Delivery 出版年份:2018 更新时间:2025-09-23 15:21:21
摘要: Assessing voltage fluctuations in the power system is necessary to prevent negative impacts to customers and the connected equipment. A flickermeter can be used to measure a flicker severity level that is based on the total voltage fluctuation present at a measurement point. The flickermeter can only assess the total flicker level at the measurement point; it cannot identify any individual network user’s contribution. For the purposes of limit compliance assessment, it is essential to have the ability to determine each user’s contribution. A measurement algorithm for accomplishing this task is presented in this paper. The algorithm is based on using measured voltages and user currents to determine the user complex power, and from the complex power and an online estimate of the network impedance, estimate the voltage fluctuation that the user would produce, if acting alone, at the measurement point. These estimated voltage fluctuations are used as inputs to the flickermeter so that the resultant flicker severity value reflects only the contribution of the individual user. Fourteen weeks of field test results are correlated with user demand data to demonstrate the effectiveness of the approach, and the traditional concepts of weekly percentiles, flicker summation, and background flicker are employed to validate the results.
作者: Daniel Lee Geiger II,S. Mark Halpin
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To assess voltage fluctuations in the power system and determine each user's contribution to the total flicker level for limit compliance assessment.

The DFM concept has been shown to be valid and effective, accurately calculating the flicker produced by individual users. The results are accurate enough to clearly identify which load is contributing what amount of the total flicker level and they are accurate enough for limit compliance assessments in most cases.

The underlying assumptions may not be appropriate in all cases. Additional testing and validation for other fluctuating loads could be appropriate to further support the overall validity of the proposed algorithm and implementation. The issue of network and fluctuating load unbalance could also be considered further, including potential difficulties associated with estimating impedances in unbalanced systems.

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