LAPSE

LAPSE:2019.1582
Published Article
LAPSE:2019.1582
Salp Swarm Optimization Algorithm-Based Controller for Dynamic Response and Power Quality Enhancement of an Islanded Microgrid
Touqeer Ahmed Jumani, Mohd. Wazir Mustafa, Madihah Md. Rasid, Waqas Anjum, Sara Ayub
December 13, 2019
The islanded mode of the microgrid (MG) operation faces more power quality challenges as compared to grid-tied mode. Unlike the grid-tied MG operation, where the voltage magnitude and frequency of the power system are regulated by the utility grid, islanded mode does not share any connection with the utility grid. Hence, a proper control architecture of islanded MG is essential to control the voltage and frequency, including the power quality and optimal transient response during different operating conditions. Therefore, this study proposes an intelligent and robust controller for islanded MG, which can accomplish the above-mentioned tasks with the optimal transient response and power quality. The proposed controller utilizes the droop control in addition to the back to back proportional plus integral (PI) regulator-based voltage and current controllers in order to accomplish the mentioned control objectives efficiently. Furthermore, the intelligence of the one of the most modern soft computational optimization algorithms called salp swarm optimization algorithm (SSA) is utilized to select the best combination of the PI gains (kp and ki) and dc side capacitance (C), which in turn ensures optimal transient response during the distributed generator (DG) insertion and load change conditions. Finally, to evaluate the effectiveness of the proposed control approach, its outcomes are compared with that of the previous approaches used in recent literature on basis of transient response measures, quality of solution and power quality. The results prove the superiority of the proposed control scheme over that of the particle swarm optimization (PSO) and grasshopper optimization algorithm (GOA) based MG controllers for the same operating conditions and system configuration.
Keywords
dynamic response enhancement, microgrid, Optimization, power quality, salp swarm optimization algorithm, voltage and frequency regulation
Suggested Citation
Jumani TA, Mustafa MW, Md. Rasid M, Anjum W, Ayub S. Salp Swarm Optimization Algorithm-Based Controller for Dynamic Response and Power Quality Enhancement of an Islanded Microgrid. (2019). LAPSE:2019.1582
Author Affiliations
Jumani TA: School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia; Department of Electrical Engineering, Mehran University of Engineering and Technology SZAB Campus Khairpur Mirs, Khairpur 66020, Pakistan
Mustafa MW: School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Md. Rasid M: School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Anjum W: School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia; Department of Electronic Engineering, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan [ORCID]
Ayub S: School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia; Department of Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta 87300, Pakistan
Journal Name
Processes
Volume
7
Issue
11
Article Number
E840
Year
2019
Publication Date
2019-11-10
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7110840, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.1582
This Record
External Link

doi:10.3390/pr7110840
Publisher Version
Download
Files
[Download 1v1.pdf] (4.8 MB)
Dec 13, 2019
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
98
Version History
[v1] (Original Submission)
Dec 13, 2019
 
Verified by curator on
Dec 13, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
http://psecommunity.org/LAPSE:2019.1582
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version