International Journal of Electrical and Computer Engineering
Vol 12, No 6: December 2022

Modified sunflower optimization for network reconfiguration and distributed generation placement

Thuan Thanh Nguyen (Industrial University of Ho Chi Minh City)
Ngoc Anh Nguyen (Industrial University of Ho Chi Minh City)
Thanh Long Duong (Industrial University of Ho Chi Minh City)
Thanh Quyen Ngo (Industrial University of Ho Chi Minh City)
Thanhquy Bach (Industrial University of Ho Chi Minh City)



Article Info

Publish Date
01 Dec 2022

Abstract

This paper proposed modified sunflower optimization (MSFO) for the combination of network reconfiguration and distributed generation placement problem (NR-DGP) to minimize power loss of the electric distribution system (EDS). Sunflower optimization (SFO) is inspired form the ideal of sunflower plant motion to get the sunlight and its reproduction. To enhance the performance of SFO, it is modified to MSFO wherein, the pollination and mortality techniques have been modified by using Levy distribution and mutation of the best solutions. The results are evaluated on two test systems. The efficiency of MSFO is compared with that of the original SFO and other algorithms in literature. The comparisons show that MSFO outperforms to SFO and other methods in obtained optimal solution. Furthermore, MSFO demonstrates the better statistical results than SFO. So, MSFO can be a powerful approach for the NR-DGP problem.

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Journal Info

Abbrev

IJECE

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...