Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1465
Title: New Metaheuristic Algorithms for Reactive Power Optimization
Authors: Üney, Mehmet Şefik
Çetinkaya, Nurettin
Keywords: Energy Management
Heuristic Algorithms
Load Flow
Optimization Methods
Reactive Power Control
Particle Swarm Optimization
Frog-Leaping Algorithm
Dispatch
Search
Flow
Issue Date: 2019
Publisher: UNIV OSIJEK, TECH FAC
Abstract: Optimal reactive power dispatch (ORPD) is significant regarding operating the practice safely and efficiently. The ORPD is beneficial to recover the voltage profile, diminish the losses and increase the voltage stability. The ORPD is a complicated optimization issue in which the total active power loss is reduced by detecting the power-system control variables, like generator voltages, tap ratios of tap-changer transformers, and requited reactive power, ideally. This study offers new approaches based on Shuffled Frog Leaping Algorithm (SFLA) and Tree Seed Algorithm (TSA) to solve the best ORPD. The results of the approaches are offered set against the current results studied in the literature. The recommended algorithms were tested by IEEE-30 and IEEE-118 bus systems to discover the optimal reactive power control variables. It was observed that the obtained results are more successful than the other algorithms.
URI: https://doi.org/10.17559/TV-20181205153116
https://hdl.handle.net/20.500.13091/1465
ISSN: 1330-3651
1848-6339
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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