An Adaptive Data-driven Method Based on Fuzzy Logic for Determining Power System Voltage Status

作     者：Sirwan Shazdeh Hêmin Golpîra Hassan Bevrani Sirwan Shazdeh;Hêmin Golpîra;Hassan Bevrani

作者机构：the SMGRCUniversity of KurdistanSanandajIran Power Systems Modeling&Simulation LabDepartment of Electrical EngineeringUniversity of KurdistanKurdistanSanandaj 66177-15175Iran 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2024年第12卷第3期

页      面：707-718页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported in part by Smart/Micro Grids Research Center (SMGRC) University of Kurdistan 

主　　题：Fuzzy logic fault-induced delayed voltage recovery phasor measurement unit(PMU) short-term voltage stability situational awareness voltage classification 

摘      要：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 trajectories. 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 operational state. Different types of short-term voltage dynamics are considered in the proposed method. The fuzzy membership functions are determined using a systematic method that considers the current situation of the voltage trajectory. Finally, the voltage status is categorized into four classes to determine appropriate remedial actions. The proposed method is validated on a IEEE 73-bus power system in a MATLAB environment.