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SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
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PUBLISHER

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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  4/2018 - 5

 HIGH-IMPACT PAPER 

Methods of Simulated Annealing and Particle Swarm Applied to the Optimization of Reactive Power Flow in Electric Power Systems

PIJARSKI, P. See more information about PIJARSKI, P. on SCOPUS See more information about PIJARSKI, P. on IEEExplore See more information about PIJARSKI, P. on Web of Science, KACEJKO, P. See more information about KACEJKO, P. on SCOPUS See more information about KACEJKO, P. on SCOPUS See more information about KACEJKO, P. on Web of Science
 
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Download PDF pdficon (1,196 KB) | Citation | Downloads: 990 | Views: 2,674

Author keywords
optimization, heuristic algorithms, power systems, reactive power control, compensation

References keywords
power(12), optimization(7), systems(6), swarm(6), fuzzy(4), control(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 43 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04005
Web of Science Accession Number: 000451843400005
SCOPUS ID: 85058812305

Abstract
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Electric power system is characterized by relatively high demand for lagging reactive power. From the economic viewpoint, reactive power sources should be installed close to its demand. Optimal compensation should ensure minimal costs of the reactive power generation and transmission within the considered system. The optimization of activities related to reactive power compensation concerns the location and power of compensation devices. This is to optimize voltage levels and reactive power flows in the system. The article presents methods of simulated annealing and particle swarm applied to solve an optimization task of the reactive power flow. It has been assumed that active power losses in a power system are the objective function.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 10
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Cited-By CrossRef

[1] Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm, ULKER, S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 19, 2019.
Digital Object Identifier: 10.4316/AECE.2019.04005
[CrossRef] [Full text]

[2] Algorithm for power systems mode optimization taking into account the frequency change in terms of probablistic nature of initial information, Gayibov, T, Latipov, Sh, Abdurashidov, D, Pulatov, B, Davirov, A, IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, Issue 1, Volume 883, 2020.
Digital Object Identifier: 10.1088/1757-899X/883/1/012185
[CrossRef]

[3] PSO-Based Oscillatory Stability Assessment by Using the Torque Coefficients for SMIB, Mohamed Kamari, Nor Azwan, Musirin, Ismail, Dagang, Ahmad Nazri, Mohd Zaman, Mohd Hairi, Energies, ISSN 1996-1073, Issue 5, Volume 13, 2020.
Digital Object Identifier: 10.3390/en13051231
[CrossRef]

[4] Hybrid Optimization of Controller for Multi-variable System, Nagarajapandian, M., Kanthalakshmi, S., Journal of Electrical Engineering & Technology, ISSN 1975-0102, Issue 3, Volume 19, 2024.
Digital Object Identifier: 10.1007/s42835-023-01605-w
[CrossRef]

[5] Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue, Pijarski, PaweÅ‚, Belowski, Adrian, Energies, ISSN 1996-1073, Issue 2, Volume 17, 2024.
Digital Object Identifier: 10.3390/en17020516
[CrossRef]

[6] An Electromagnetic Var Compensator Suitable for Wind Power Access and Its Control Strategy, Yan, Xiangwu, Guo, Yan, Jia, Jiaoxin, Aslam, Waseem, Qi, Bingbao, Wang, Yang, Xu, Xiaolin, Energies, ISSN 1996-1073, Issue 15, Volume 15, 2022.
Digital Object Identifier: 10.3390/en15155572
[CrossRef]

[7] Optimization of power flow through facts in electrical networks, Khamidov, Sh, Normuratov, B, Pulatov, B, Kilichov, O, IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, Issue 1, Volume 883, 2020.
Digital Object Identifier: 10.1088/1757-899X/883/1/012128
[CrossRef]

[8] Advanced Optimisation and Forecasting Methods in Power Engineering—Introduction to the Special Issue, Pijarski, PaweÅ‚, Kacejko, Piotr, Miller, Piotr, Energies, ISSN 1996-1073, Issue 6, Volume 16, 2023.
Digital Object Identifier: 10.3390/en16062804
[CrossRef]

[9] Algorithm for optimization of power system short-term mode in conditions of partial uncertainty of initial information taking into account the frequency change, Gayibov, Tulkin, Voropai, N., Senderov, S., Michalevich, A., Guliev, H., E3S Web of Conferences, ISSN 2267-1242, Issue , 2020.
Digital Object Identifier: 10.1051/e3sconf/202021601100
[CrossRef]

[10] Time Series Based Co-optimization Model of Active and Reactive Power with PV-wind and Storage, Wei, Pengyu, Cai, Dongsheng, Bamisile, Olusola, Li, Linlin, Huang, Qi, 2023 5th Asia Energy and Electrical Engineering Symposium (AEEES), ISBN 978-1-6654-9054-2, 2023.
Digital Object Identifier: 10.1109/AEEES56888.2023.10114255
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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