|4/2017 - 12|
Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution SystemsEMIROGLU, S. , UYAROGLU, Y. , OZDEMIR, G.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (1,570 KB) | Citation | Downloads: 761 | Views: 2,378|
energy conservation, reactive power control, renewable energy sources, smart grids, voltage control
power(40), systems(20), voltage(17), distribution(16), smart(11), energy(11), control(10), grid(9), distributed(9), reduction(8)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2017-11-30
Volume 17, Issue 4, Year 2017, On page(s): 99 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.04012
Web of Science Accession Number: 000417674300012
SCOPUS ID: 85035760762
This paper proposes a distributed reactive power control based approach to deploy Volt/VAr optimization (VVO) / Conservation Voltage Reduction (CVR) algorithm in a distribution network with distributed generations (DG) units and distribution static synchronous compensators (D-STATCOM). A three-phase VVO/CVR problem is formulated and the reactive power references of D-STATCOMs and DGs are determined in a distributed way by decomposing the VVO/CVR problem into voltage and reactive power control. The main purpose is to determine the coordination between voltage regulator (VR) and reactive power sources (Capacitors, D-STATCOMs and DGs) based on VVO/CVR. The study shows that the reactive power injection capability of DG units may play an important role in VVO/CVR. In addition, it is shown that the coordination of VR and reactive power sources does not only save more energy and power but also reduces the power losses. Moreover, the proposed VVO/CVR algorithm reduces the computational burden and finds fast solutions. To illustrate the effectiveness of the proposed method, the VVO/CVR is performed on the IEEE 13-node test system feeder considering unbalanced loading and line configurations. The tests are performed taking the practical voltage-dependent load modeling and different customer types into consideration to improve accuracy.
Web of Science® Times Cited: 7 [View]
View record in Web of Science® [View]
View Related Records® [View]
SCOPUS® Times Cited: 7
View record in SCOPUS® [Free preview]
View citations in SCOPUS® [Free preview]
 A purpose-oriented shuffled complex evolution optimization algorithm for energy management of multi-microgrid systems considering outage duration uncertainty, Bayat, Peyman, Afrakhte, Hossein, Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, Issue 2, Volume 38, 2020.
Digital Object Identifier: 10.3233/JIFS-190666 [CrossRef]
 Heat Transfer and Simulated Coronary Circulation System Optimization Algorithms for Real Power Loss Reduction, Kanagasabai, L., Journal of Engineering Sciences, ISSN 2414-9381, Issue 1, Volume 8, 2021.
Digital Object Identifier: 10.21272/jes.2021.8(1).e1 [CrossRef]
 Reactive Power Compensation in Distribution Systems Through the DSTATCOM Integration Based on the Bond Graph Domain, Tapia-Sánchez, Roberto, Medina-Rios, Aurelio, Salgado-Herrera, Nadia Maria, Granados-Lieberman, David, Rodríguez-Rodríguez, Juan Ramón, Guillén-Aguirre, Jose Luis, Arabian Journal for Science and Engineering, ISSN 2193-567X, Issue 3, Volume 45, 2020.
Digital Object Identifier: 10.1007/s13369-019-03988-3 [CrossRef]
 Energy Efficiency Improvement by Tap Adjustment in Transformer Using Genetic Algorithms, GÜMÜŞ, Enes Talha, SARIGÜZEL, Cüneyt, TURAN, Mustafa, YALÇIN, Mehmet Ali, Journal of the Institute of Science and Technology, ISSN 2146-0574, 2020.
Digital Object Identifier: 10.21597/jist.715336 [CrossRef]
 Real Measure of a Transmission Line Data with Load Fore-cast Model for The Future, YILMAZ, Musa, Balkan Journal of Electrical and Computer Engineering, ISSN 2147-284X, 2018.
Digital Object Identifier: 10.17694/bajece.419646 [CrossRef]
 Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm, Rashid, Md Mamun Ur, Alotaibi, Majed A., Chowdhury, Abdul Hasib, Rahman, Muaz, Alam, Md. Shafiul, Hossain, Md. Alamgir, Abido, Mohammad A., Energies, ISSN 1996-1073, Issue 4, Volume 14, 2021.
Digital Object Identifier: 10.3390/en14041060 [CrossRef]
 Substation demand reduction by CVR enabled intelligent PV inverter control functions in distribution systems, Arora, Swati, Satsangi, Saran, Kaur, Sandeep, Khanna, Rintu, International Transactions on Electrical Energy Systems, ISSN 2050-7038, Issue 2, Volume 31, 2021.
Digital Object Identifier: 10.1002/2050-7038.12724 [CrossRef]
 A new method for Volt–Var optimization with conservation voltage reduction on distribution systems, Ozdemir, Gulcihan, Baran, Mesut, Electrical Engineering, ISSN 0948-7921, Issue 1, Volume 102, 2020.
Digital Object Identifier: 10.1007/s00202-020-00945-4 [CrossRef]
 Reduction in System Losses and Power Demand by Combination of Optimal Power Flow and Conservation Voltage Reduction Using Smart PV Inverters, Mahendru, Ankush, Varma, Rajiv K., 2019 IEEE Power & Energy Society General Meeting (PESGM), ISBN 978-1-7281-1981-6, 2019.
Digital Object Identifier: 10.1109/PESGM40551.2019.8973566 [CrossRef]
 Optimal Voltage Control in Power Distribution Networks Using an Adaptive On-Load Tap Changer Transformers Techniques, Neagu, Bogdan Constantin, Grigoras, Gheorghe, 2019 International Conference on Electromechanical and Energy Systems (SIELMEN), ISBN 978-1-7281-4011-7, 2019.
Digital Object Identifier: 10.1109/SIELMEN.2019.8905904 [CrossRef]
Disclaimer: All information displayed above was retrieved by using remote connections to respective databases. For the best user experience, we update all data by using background processes, and use caches in order to reduce the load on the servers we retrieve the information from. As we have no control on the availability of the database servers and sometimes the Internet connectivity may be affected, we do not guarantee the information is correct or complete. For the most accurate data, please always consult the database sites directly. Some external links require authentication or an institutional subscription.
Web of Science® is a registered trademark of Clarivate Analytics, Scopus® is a registered trademark of Elsevier B.V., other product names, company names, brand names, trademarks and logos are the property of their respective owners.
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.