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Detection of power system operation violations via fuzzy set theory

机译:基于模糊集理论的电力系统运行违规检测

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The purpose of this paper is to apply fuzzy set theory to one of the basic dimensions of power system reliability, the magnitude of a failure. The fuzzy set theory technique introduces an index which is developed from a membership function describing the power system behavior. The membership function developed for specific problems solved by fuzzy set theory is the measure of system behavior and its degree of compatibility. The proposed fuzzy set will include all buses violating their operating constraints and the membership function will rank the magnitudes of failures and identify the weak areas that are subject to violation in the normal operating state. A relationship between the membership function versus p.u./kV identifying the behavior of the operating states for the operator is also identified. The fuzzy set concept in this paper is implemented on the IEEE 25-bus Reliability Test System. Single-level contingencies evaluating the system voltage violations are analyzed and documented.
机译:本文的目的是将模糊集理论应用于电力系统可靠性的基本维度之一,即故障的严重程度。模糊集理论技术引入了一种从描述电力系统行为的隶属度函数中开发出来的指标。通过模糊集理论为特定问题开发的隶属度函数是系统行为及其兼容性程度的度量。拟议的模糊集将包括所有违反其运行约束的公交车,而隶属函数将对故障的严重程度进行排序,并确定在正常运行状态下容易受到破坏的薄弱区域。还确定了隶属函数与p / u / kV之间的关系,该关系为操作者识别了工作状态的行为。本文的模糊集概念是在IEEE 25总线可靠性测试系统上实现的。分析和记录评估系统电压违规的单级突发事件。

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