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Methods of Simulated Annealing and Particle Swarm Applied to the Optimization of Reactive Power Flow in Electric Power SystemsPIJARSKI, P.   , KACEJKO, P. |
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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
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. |
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[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.
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[4] Optimal iterative learning PI controller for SISO and MIMO processes with machine learning validation for performance prediction, Nagarajapandian, M., Kanthalakshmi, S., Devan, P. Arun Mozhi, Bingi, Kishore, Scientific Reports, ISSN 2045-2322, Issue 1, Volume 14, 2024.
Digital Object Identifier: 10.1038/s41598-024-74813-7 [CrossRef]
[5] 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.
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[6] Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue, Pijarski, Paweł, Belowski, Adrian, Energies, ISSN 1996-1073, Issue 2, Volume 17, 2024.
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[7] 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]
[8] 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]
[9] Advanced Optimisation and Forecasting Methods in Power Engineering—Introduction to the Special Issue, Pijarski, Paweł, Kacejko, Piotr, Miller, Piotr, Energies, ISSN 1996-1073, Issue 6, Volume 16, 2023.
Digital Object Identifier: 10.3390/en16062804 [CrossRef]
[10] 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]
[11] 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]
[12] Taking into account functional restrictions in the form of inequalities when optimizing the modes of electric power systems under conditions of partial uncertainty of the initial information, Latipov, Sherkhon, Talipova, Surayyo, Karimov, Ilhom, Mamatkulov, Asom, III INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE “ACTUAL ISSUES OF POWER SUPPLY SYSTEMS” (ICAIPSS2023), ISBN , Issue , 2024.
Digital Object Identifier: 10.1063/5.0218939 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
