Generalized picture fuzzy soft sets and their application in decision support systems
Journal article
Authors/Editors
Strategic Research Themes
No matching items found.
Publication Details
Author list: Khan M.J., Kumam P., Ashraf S., Kumam W.
Publisher: MDPI AG
Publication year: 2019
Volume number: 11
Issue number: 3
ISSN: 2076-3417
eISSN: 2076-3417
Languages: English-Great Britain (EN-GB)
View in Web of Science | View on publisher site | View citing articles in Web of Science
Abstract
This paper proposes a probabilistic method to obtain optimized parameter values for different power-system controllers, such as power-system stabilizers (PSSs) and battery energy-storage systems (BESSs) to improve probabilistic small-signal stability (PSSS) considering stochastic output power due to wind- and solar-power integration. The proposed tuning method is based on a combination of an analytical method that assesses the small-signal-stability margin, and an optimization technique that utilizes this statistical information to optimally tune power-system controllers. The optimization problem is solved using a metaheuristic technique known as the firefly algorithm. Power-system stabilizers, as well as sodium-sulfur (NaS)-based BESS controllers with power-oscillation dampers (termed as BESS controllers) are modeled in detail for this purpose in DIGSILENT. The results show that the sole use of PSSs and BESS controllers is insufficient to improve dynamic stability under fluctuating input power due to the integration of renewable-energy resources. However, the proposed strategy of using BESS and PSS controllers in a coordinated manner is highly successful in enhancing PSSS under renewable-energy-resource integration and under different critical conditions. ฉ 2019 by the authors.
Keywords
Cumulant Method, Firefly algorithm, Gram-Charlier expansion, NaS, Power-system stability, Probability density function, Stochastic
Contact Information