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A fuzzy expert system for quantifying voltage quality in electrical distribution systems

机译:用于量化配电系统中电压质量的模糊专家系统

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Power quality is usually taken as a voltage quality. When the impacts on voltage quality are known, some information about power quality can be obtained. Various types of device connected to power distribution systems expect good voltage quality, but their expectation levels may differ. Device sensitivities to the voltage quality problems are usually given with the curves. Commonly used for the computer systems is the CBEMA curve. Using device sensitivity characteristics can be a reasonable way to represent voltage quality. CBEMA curve strictly separate acceptable — unacceptable regions, and should be fuzzied. Different methods can be tried for evaluation of voltage quality. Because of including vagueness and uncertainty voltage quality has chance to be studied with fuzzy mathematics. Voltage quality problems can be separately examined. If the effect of each individual problem on voltage quality is known, then general voltage quality can be considered as superposition of individual voltage qualities. In this work, a method was proposed for quantifying the voltage quality. To achieve this, software was written using Matlab and its Fuzzy Toolbox.
机译:电能质量通常被认为是电压质量。当知道对电压质量的影响时,可以获得有关电能质量的一些信息。连接到配电系统的各种类型的设备都希望有良好的电压质量,但是它们的期望水平可能会有所不同。器件对电压质量问题的敏感性通常通过曲线给出。 CBEMA曲线通常用于计算机系统。使用设备灵敏度特性可以是表示电压质量的一种合理方法。 CBEMA曲线严格将可接受的-不可接受的区域分开,应该对其进行模糊处理。可以尝试不同的方法来评估电压质量。由于包括模糊性和不确定性,因此电压质量有机会用模糊数学进行研究。电压质量问题可以单独检查。如果知道每个单独问题对电压质量的影响,那么一般电压质量可以视为单个电压质量的叠加。在这项工作中,提出了一种量化电压质量的方法。为此,使用Matlab及其Fuzzy Toolbox编写了软件。

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