cover
Contact Name
sulistiyanto
Contact Email
yantog98@gmail.com
Phone
+6281332986888
Journal Mail Official
jeecom@unuja.ac.id
Editorial Address
https://ejournal.unuja.ac.id/index.php/jeecom/about/editorialTeam
Location
Kab. probolinggo,
Jawa timur
INDONESIA
Journal of Electrical Engineering and Computer (JEECOM)
ISSN : 27150410     EISSN : 27156427     DOI : -
Journal of Electrical Engineering and Computer (JEECOM) is published by Engineering Faculty of Nurul Jadid University, Probolinggo, East Java, Indonesia. This journal encompasses research articles, original research report, : 1) Power Systems, 2) Signal, System, and Electronics, 3) Communication Systems, 4) Information Technology, etc.
Articles 231 Documents
Voltage Stability Enhancement in Power Distribution Systems using an Improved Blue Monkey Optimization-Based D-SVCs Integration Approach Obeng, Abigail
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.14639

Abstract

This paper presents an Improved Blue Monkey (IBM) optimization algorithm for enhancing voltage stability and reducing power losses in distribution networks through optimal placement and sizing of Distribution Static Var Compensators (D-SVCs). The IBM algorithm modifies the original Blue Monkey metaheuristic by incorporating a random inertia weight to accelerate convergence and improve exploration-exploitation balance. Benchmark function tests demonstrated the IBM’s superiority over the original BM and Particle Swarm Optimization (PSO) in solution accuracy, stability, and convergence speed. The proposed method was applied to the IEEE 33-bus system under varying load conditions, achieving optimal D-SVC placements at buses 7, 14, and 31, with reductions of 22.17% and 18.15% in active and reactive power losses, respectively, and an increase in minimum voltage from 0.9131 p.u. to 0.9590 p.u. Comparative analysis with the Modified Artificial Rabbit Optimization (MARO) method confirmed the IBM’s consistent performance advantage, including better Fast Voltage Stability Index (FVSI) values. The results validate the IBM algorithm as an effective and robust tool for reactive power compensation optimization in modern power distribution systems.