A novel brainstorm based optimization method for optimum planning of reactive power with FACTS devices

Lalit Kumar (), Sushil Kumar Gupta and Sanjay Kumar
Additional contact information
Lalit Kumar: NIT Jamshedpur
Sushil Kumar Gupta: NIT Jamshedpur
Sanjay Kumar: NIT Jamshedpur

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 6, No 20, 3062-3073

Abstract: Abstract This paper presents a solution for planning of reactive power using a novel brainstorm optimization method with flexible alternating current transmission system (FACTS) devices. For shunt compensation static VAR compensator (SVC) and for series compensation thyristor-controlled series compensator (TCSC) are being used in this proposed work which is adapted into IEEE-14, IEEE-30 and IEEE-57 test bus system. The location for TCSC and SVC has been chosen by performing power flow analysis. In this paper brainstorm optimization algorithm (BSOA) is proposed to evaluate the optimal value of reactive VAR generation of generators, tap setting of transformers, and size of SVC and TCSC to reduce the active power loss as well as operating cost in the transmission network. The outcomes proposed by BSOA approach is obtained and compared with some other techniques like krill heard algorithm (KHA), symbiotic organisms search (SOS), particle swarm optimization (PSO), biogeography-based optimization (BBO) methods.

Keywords: Active power loss; FACTS; Operating cost; BSOA (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-022-01802-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:ijsaem:v:13:y:2022:i:6:d:10.1007_s13198-022-01802-2

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-022-01802-2

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().