A Study on Optimal and Stable Strategy of Islanded Microgrid

Min-Hyeok Kang, Ngoc-Thinh Quach, Sang Heon Chae, Dong Wan Kim, Seung Hun Ko, Eel-Hwan Kim and Seong-Bo Oh




This paper presents a study on optimal and stable operation strategy of an islanded microgrid. By considering the minimum power limit of the DG, the operating strategy is discussed in order to analyze the stability of the microgrid. Then, a method based on particle swarm optimization (PSO) algorithm is used to achieve multi-objective optimization such as the maximized renewable energy source penetration, the minimized CO2 emission, and the reliability of microgrid. The proposed operation strategy will be verified by using Matlab programming, PSCAD simulation program and measured data from power system on Chuja Island in 2015.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 15)
Pages: 271-275 Date of Publication: 2017/04/25
ISSN: 2172-038X Date of Current Version:
REF: 290-17 Issue Date: April 2017
DOI:10.24084/repqj15.290 Publisher: EA4EPQ

Authors and affiliations

Min-Hyeok Kang(1), Ngoc-Thinh Quach(1), Sang Heon Chae(1), Dong Wan Kim(2), Seung Hun Ko(2), Eel-Hwan Kim(1) and Seong-Bo Oh(1)
1. Department of Electrical Engineering. Jeju National University. Jeju-si, Republic of Korea
2. Research & Development Center, Jeju Energy Corporation. Jeju-si, Republic of Korea

Key word

Diesel generator, Islanded Microgrid, Particle swarm optimization, Stability analysis, Renewable energy source penetration


[1] Hanieh Borhanazad, Saad Mekhilef, Velaapa Gounder Ganapathy, Mostafa Modiri-Delshad and Ali Mirtaheri,
“Optimization of Micro-Grid System Using MOPSO,” Renewable Energy, vol. 71, pp. 295-306, Nov. 2014
https://doi.org/10.24084/repqj15.290 274 RE&PQJ, Vol.1, No.15, April 2017
[2] Farid Katiraei and Chad Abbey, “Diesel Plant Sizing and Performance Analysis of a Remote Wind-Diesel Microgrid,” 2007 IEEE Power Engineering Society General Meeting, Florida, USA, pp. 1-8, June 2007.
[3] Makbul A. M. Ramli, Ayong Hiendro, and Yusuf A. Al-Turki, “Techno-Economic Energy Analysis of Wind/Solar Hybrid System: Case Study for Western Coastal Area of Saudi Aribia,” Renewable Energy, vol. 91, pp. 374-385, Jun. 2016.
[4] J. Kennedy and R. Eberhart, “Particle Swarm Optimization,” in IEEE Proceedings of the International Conference on Neural Networks, Perth, Australia, pp. 1942-1948, 1995.