首页|An Adaptive Data-driven Method Based on Fuzzy Logic for Determining Power System Voltage Status
An Adaptive Data-driven Method Based on Fuzzy Logic for Determining Power System Voltage Status
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This paper proposes an adaptive method based on fuzzy logic that utilizes data from phasor measurement units(PMUs)to assess and classify generating-side voltage trajecto-ries.The voltage variable and its associated derivatives are used as the input variables of a fuzzy-logic block.In addition,the voltage trajectory is compared with the pre-selected pilot-bus voltage to make a reliable decision about the voltage operation-al state.Different types of short-term voltage dynamics are con-sidered in the proposed method.The fuzzy membership func-tions are determined using a systematic method that considers the current situation of the voltage trajectory.Finally,the volt-age status is categorized into four classes to determine appropri-ate remedial actions.The proposed method is validated on a IEEE 73-bus power system in a MATLAB environment.
Fuzzy logicfault-induced delayed voltage re-coveryphasor measurement unit(PMU)short-term voltage sta-bilitysituational awarenessvoltage classification
Sirwan Shazdeh、Hêmin Golp?ra、Hassan Bevrani
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SMGRC,Uni-versity of Kurdistan,Sanandaj,Iran
Power Systems Modeling & Simulation Lab,Department of Electrical Engineering,University of Kurdistan,Kurdistan,Sanandaj 66177-15175,Iran
Smart/Micro Grids Research Center(SMGRC)University of Kurdistan
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