Voltage stability index and APFC for performance improvement of modern power systems with intense renewables. Issue 18 (27th June 2019)

• Record Type: Journal Article
• Authors: Singh, Pradeep; Tiwari, Rajive; Shah, Mukesh Kumar; Niazi, Khaleequr Rahman; Meena, Nand Kishor; Ratra, Saurabh
• Is Part Of: Journal of engineering. Volume 2019:Issue 18(2019)
• Page Start: 5187
• Page End: 5192
• Publication Date: 2019-06-27
• Subjects: optimisation -- fuzzy set theory -- fuzzy logic -- load flow control -- power system stability; voltage stability index -- APFC -- performance improvement -- modern power system -- intense renewables -- newly developed amalgam power flow controller -- controllability -- voltage stability enhancement -- deep renewable penetration -- Grey Wolf optimisation -- fuzzy logic -- optimal parameter settings -- exponential fuzzy membership function -- multiobjective problem -- IEEE benchmark system; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.9375
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : In this study, a newly developed amalgam power flow controller (APFC) is used for better controllability and voltage stability enhancement of modern power system with deep renewable penetration. A new voltage stability index is proposed to determine the potential site of APFC and then Grey Wolf optimisation based on fuzzy logic is adopted to determine the optimal parameter settings of the APFC. A quarter cosine and exponential fuzzy membership function have been used to find out membership value of diverse objectives. The multi‐objective problem is formulated considering three different objectives of conflicting nature. The proposed optimisation framework is implemented on an IEEE benchmark system of 30 buses for different cases. The comparison of simulation results reveals the effectiveness of the proposed model.