Power System Stability Improvement of FACTS Controller and PSS Design: A Time-Delay Approach

Preeti Ranjan Sahu, Rajesh Kumar Lenka, Rajendra Kumar Khadanga, Prakash Kumar Hota, Sidhartha Panda and Taha Selim Ustun ()
Additional contact information
Preeti Ranjan Sahu: Department of Electrical and Electronics Engineering, NIST Institute of Science and Technology, Berhampur 761008, Odisha, India
Rajesh Kumar Lenka: School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
Rajendra Kumar Khadanga: Department of Electrical and Electronics Engineering, Centurion University of Technology and Management, Bhubaneswar 752050, Odisha, India
Prakash Kumar Hota: Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla 768018, Odisha, India
Sidhartha Panda: Department of Electrical and Electronics Engineering, Veer Surendra Sai University of Technology, Burla 768018, Odisha, India
Taha Selim Ustun: Fukushima Renewable Energy Institute, Fukushima 9630298, Japan

Sustainability, 2022, vol. 14, issue 21, 1-22

Abstract: The existence of low-frequency oscillations in power systems is the cause of power angle instability, limiting the transmission of maximum tie-line power. One of the effective ways to improve the stability limits is by installing a power system stabilizer and supplementary excitation control to augment with an automatic voltage regulator (AVR) supplemental feedback stabilizing signal. This paper proposes a new strategy for simultaneously tuning the power system stabilizer (PSS) and FACTS controller, considering time delays. The design of the proposed controller is modeled as an optimization problem, and the parameters of the controller are optimized through the grasshopper optimization algorithm (GOA). The suggested controller’s efficacy is evaluated for both single-machine infinite bus systems and multi-machine power systems under various disturbances. It also investigated the performance of the proposed controller with variations in signal transmission delays. The results obtained from GOA optimized proposed controller are compared with those obtained from the differential evolution algorithm, genetic algorithm, and whale optimization algorithm. In this context, the proposed GOA optimized controller reduced the objective function value by 16.32%, 14.56%, and 13.72%, respectively, in the SMIB system and 1.41%, 9.98%, and 13.31%, respectively, for the multi-machine system compared with the recently published WOA, and the well-established GA and DE. Further, the proposed controller is found to be stable and effectively increases stability even under small disturbances.

Keywords: power system stability; static synchronous series compensator; grasshopper optimization algorithm; fuzzy lead-lag controller; time-delay; power system stabilizer (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/21/14649/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/21/14649/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:21:p:14649-:d:965741

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().