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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  1/2014 - 17

 HIGH-IMPACT PAPER 

A PSO-DP Based Method to Determination of the Optimal Number, Location, and Size of FACTS Devices in Power Systems

SHOJAEIAN, S. See more information about SHOJAEIAN, S. on SCOPUS See more information about SHOJAEIAN, S. on IEEExplore See more information about SHOJAEIAN, S. on Web of Science, NAEENI, E. S. See more information about  NAEENI, E. S. on SCOPUS See more information about  NAEENI, E. S. on SCOPUS See more information about NAEENI, E. S. on Web of Science, DOLATSHAHI, M. See more information about  DOLATSHAHI, M. on SCOPUS See more information about  DOLATSHAHI, M. on SCOPUS See more information about DOLATSHAHI, M. on Web of Science, KHANI, H. See more information about KHANI, H. on SCOPUS See more information about KHANI, H. on SCOPUS See more information about KHANI, H. on Web of Science
 
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Download PDF pdficon (836 KB) | Citation | Downloads: 1,347 | Views: 3,948

Author keywords
TCSC, SVC, PSO, loss minimization, voltage regulation

References keywords
power(9), systems(8), swarm(4), optimization(4), optimal(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-02-28
Volume 14, Issue 1, Year 2014, On page(s): 109 - 114
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.01017
Web of Science Accession Number: 000332062300017
SCOPUS ID: 84894631897

Abstract
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The presence of reactive component of current in transmission lines causes adverse impact on the network, including power losses, reduction of line capacity, and voltage drop. These adverse impacts can be reduced by using the first or second generation of FACTS devices. In this paper, these adverse impacts can be reduced optimally by using one of the modern optimization techniques, i.e., particle swarm optimization algorithm (PSO algorithm). By using this algorithm, the optimal size of the static VAr compensator (FACTS devices) in a 30 bus IEEE test system is determined. At first, the load flow equations of the 30 bus IEEE test system is defined in the MATLAB software by means of dynamic programming method, and the number of SVCs will be determined by using the system sensitivity function (power losses and the sum of buses voltage drop square); then, the optimal sizes of the FACTS devices is obtained by means of PSO algorithm.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 8
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Cited-By CrossRef

[1] Optimal design of fuzzy-AGC based on PSO & RCGA to improve dynamic stability of interconnected multi area power systems, Falehi, Ali Darvish, International Journal of Automation and Computing, ISSN 1476-8186, Issue 4, Volume 17, 2020.
Digital Object Identifier: 10.1007/s11633-017-1064-0
[CrossRef]

[2] Determining Optimal SVC Location for Voltage Stability Using Multi-Criteria Decision Making Based Solution: Analytic Hierarchy Process (AHP) Approach, Aydin, Faruk, Gumus, Bilal, IEEE Access, ISSN 2169-3536, Issue , 2021.
Digital Object Identifier: 10.1109/ACCESS.2021.3121196
[CrossRef]

[3] An Optimization Algorithm of Overseas Surgical Warehouse Location of Cross-Border Medical Supply Chain Network Based on Parallel Big Data Mining, Ma, Zhijun, Journal of Testing and Evaluation, ISSN 0090-3973, Issue 1, Volume 51, 2023.
Digital Object Identifier: 10.1520/JTE20210449
[CrossRef]

[4] An energy‐aware method for data replication in the cloud environments using a Tabu search and particle swarm optimization algorithm, Ebadi, Yalda, Jafari Navimipour, Nima, Concurrency and Computation: Practice and Experience, ISSN 1532-0626, Issue 1, Volume 31, 2019.
Digital Object Identifier: 10.1002/cpe.4757
[CrossRef]

[5] A Fuzzy Based Evolutionary Algorithm for Solving Multiobjective Optimal Power Flow with FACTS Devices, Vanitha, R., Baskaran, J., Mathematical Problems in Engineering, ISSN 1024-123X, Issue , 2015.
Digital Object Identifier: 10.1155/2015/275129
[CrossRef]

[6] A Multi-objective PMU Placement Method Considering Observability and Measurement Redundancy using ABC Algorithm, KULANTHAISAMY, A., VAIRAMANI, R., KARUNAMURTHI, N. K., KOODALSAMY, C., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.02020
[CrossRef] [Full text]

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