Publication:
Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm

datacite.subject.fos oecd::Engineering and technology
dc.contributor.author Thanh Long Duong
dc.contributor.author Minh Quan Duong
dc.contributor.author Van-Duc Phan
dc.contributor.author Thang Trung Nguyen
dc.date.accessioned 2022-11-02T03:01:03Z
dc.date.available 2022-11-02T03:01:03Z
dc.date.issued 2020
dc.description.abstract In this paper, stochastic fractal search method (SFS) is employed for solving the optimal reactive power flow (ORPF) problem with a target of optimizing total active power losses (TPL), voltage deviation (VD), and voltage stability index (VSI). SFS is an effective metaheuristic algorithm consisting of diffusion process and two update processes. ORPF is a complex problem giving challenges to applied algorithms by taking into account many complex constraints such as operating voltage from generators and loads, active and reactive power generation of generators, limit of capacitors, apparent power limit from branches, and tap setting of transformers. For verifying the performance, solutions of IEEE 30 and 118-bus system with TPL, VD, and VSI objectives are found by the SFS method with different control parameter settings. Result comparisons indicate that SFS is more favorable than other methods about finding effective solutions and having faster speed. As a result, it is suggested that SFS should be used for ORPF problem, and modifications performed on SFS are encouraged for better results.
dc.identifier.doi 10.1155/2020/6382507
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/644
dc.language.iso en_US
dc.relation.ispartof Journal of Electrical and Computer Engineering
dc.relation.issn 2090-0147
dc.relation.issn 2090-0155
dc.title Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm
dc.type journal-article
dspace.entity.type Publication
oaire.citation.volume 2020
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
AS319.pdf
Size:
1.49 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: