2024 : 11 : 21
Hassan Bevrani

Hassan Bevrani

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 55913436700
HIndex:
Faculty: Faculty of Engineering
Address: Dept. Of Electrical and Computer Eng, University of Kurdistan, Allameh Hamdi Blvd, Sanandaj PO Box 416, P. C: 66177-15175, Kurdistan, Iran
Phone: +98-87-33624001

Research

Title
An Adaptive Data-driven Method Based on Fuzzy Logic for Determining Power System Voltage Status
Type
JournalPaper
Keywords
Fuzzy logic, fault-induced delayed voltage recovery, phasor measurement unit (PMU), short-term voltage stability, situational awareness, voltage classification
Year
2024
Journal Journal of Modern Power Systems and Clean Energy
DOI
Researchers Sirwan Shazdeh ، Hêmin Golpîra ، Hassan Bevrani

Abstract

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.