Research Article
BibTex RIS Cite

Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks

Year 2026, Volume: 21 Issue: 1 , 271 - 281 , 30.03.2026
https://doi.org/10.55525/tjst.1854193
https://izlik.org/JA54LU54ZC

Abstract

Distribution systems, particularly in densely loaded urban areas, frequently experience transformer overloading during peak consumption hours. Rather than resorting to costly infrastructure reinforcement or complex Flexible AC Transmission Systems (FACTS), this paper proposes a cost-effective optimization and control approach utilizing a Continuously Variable Series Reactor (CVSR). Unlike FACTS devices that rely on expensive power electronics, the CVSR capitalizes on magnetic core saturation to regulate reactance, offering a robust solution at a fraction of the cost (~$10/kVAr). The CVSR regulates the reactance on the primary side of the transformer via magnetic core saturation to control power distribution among transformers. In this study, the steady-state framework of the CVSR is derived and integrated into power flow formulations. The proposed model is validated using a two-parallel transformer system and tested on the heavily meshed IEEE 342-Node Low Voltage Networked Test System (LVNTS). Simulation results demonstrate the CVSR effectively relieves transformer overloading by redistributing power flow, thereby enhancing system flexibility and allowing utilities to avoid or defer extensive grid upgrades.

Supporting Institution

This work was supported by the University of Tennessee, Knoxville (UTK) and Oak Ridge National Laboratory (ORNL) as part of a doctoral research project.

References

  • Zhang X, Tomsovic K, Dimitrovski A. Security constrained multi-stage transmission expansion planning considering a continuously variable series reactor. IEEE Transactions on Power Systems. 2017 Feb 20;32(6):4442-50.
  • Hingorani NG. FACTS-flexible AC transmission system. InInternational Conference on AC and DC Power Transmission 1991 Sep 17 (pp. 1-7). IET.
  • Divan D, Johal H. Distributed FACTS-A new concept for realizing grid power flow control. In2005 IEEE 36th power electronics specialists conference 2005 Jun 16 (pp. 8-14). IEEE.
  • Kucherov Y, Utts S. The FACTS and HVDC equipment application for reliability, flexibility and controllability increase in the metropolitan area power system. In11th IET International Conference on AC and DC Power Transmission 2015 Feb 10 (pp. 1-6). IET.
  • Singh B, Tiwari P, Singh SN. Enhancement of power system performances by optimally placed FACTS controllers by using different optimization techniques in distribution systems: A taxonomical review. In2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) 2018 Nov 2 (pp. 1-7). IEEE.
  • Sen KK, Stacey EJ. UPFC-unified power flow controller: theory, modeling, and applications. IEEE transactions on Power Delivery. 1998 Oct 31;13(4):1453-60.
  • Tamimi B, Canizares CA. Modeling and application of hybrid power flow controller in distribution systems. IEEE Transactions on power Delivery. 2018 Aug 1;33(6):2673-82.
  • Saradva PM, Kadivar KT, Pandya MH, Rana AJ. Application of D-STATCOM to control power flow in distribution line. In2016 International conference on energy efficient technologies for sustainability (ICEETS) 2016 Apr 7 (pp. 479-484). IEEE.
  • Khadkikar V, Kirtley JL. Interline Photovoltaic (I-PV) power system; a novel concept of power flow control and management in Power and Energy Society General Meeting.
  • Chen SS, Wang L, Lee WJ, Chen Z. Power flow control and damping enhancement of a large wind farm using a superconducting magnetic energy storage unit. IET Renewable Power Generation. 2009 Mar 9;3(1):23-38.
  • Wade N, Taylor P, Lang P, Svensson J. Energy storage for power flow management and voltage control on an 11kV UK distribution network. In20th International Conference and Exhibition on Electricity Distribution (CIRED 2009) 2009 Jun 8 (p. 0824). Stevenage UK: IET.
  • Ciftci O, Mehrtash M, Kargarian A. Data-driven nonparametric chance-constrained optimization for microgrid energy management. IEEE Transactions on Industrial Informatics. 2019 Jul 31;16(4):2447-57.
  • Yufei WA, Keming LI, Qiang CH, Hua XU, Aiqing YU. Congestion Management Method for Active Distribution Network Based on Market Mechanism and Mobile Energy Storage System. Modern Electric Power. 2023 Jun 26;41(6):1138-47.
  • Ji Y, Zhang Y, Chen L, Zuo J, Wang W, Xu C. The Optimal Dispatch for a Flexible Distribution Network Equipped with Mobile Energy Storage Systems and Soft Open Points. Energies. 2025 May 23;18(11):2701.
  • Elazab R, Salama S, Abo-Adma M, Daowd M. Soft open point integration in active distribution networks and microgrids for sustainable grid planning. Electric Power Systems Research. 2026 Jan 1;252:112362.
  • Dimitrovski A, Li Z, Ozpineci B. Applications of saturable-core reactors (SCR) in power systems. In2014 IEEE PES T&D Conference and Exposition 2014 Apr 14 (pp. 1-5). IEEE.
  • Wass T, Hornfeldt S, Valdemarsson S. Magnetic circuit for a controllable reactor. IEEE transactions on magnetics. 2006 Aug 21;42(9):2196-200.
  • Dimitrovski A, Li Z, Ozpineci B. Magnetic amplifier-based power-flow controller. IEEE transactions on power delivery. 2015 Feb 5;30(4):1708-14.
  • Young M, Dimitrovski A, Li Z, Liu Y, Patterson R. Continously variable series reactor: Impacts on distance protection using CCVTs. In2015 IEEE Power & Energy Society General Meeting 2015 Jul 26 (pp. 1-5). IEEE.
  • Young M, Li Z, Dimitrovski A. Modeling and simulation of continuously variable series reactor for power system transient analysis. In2016 IEEE Power and Energy Society General Meeting (PESGM) 2016 Jul 17 (pp. 1-5). IEEE.
  • Young M, Dimitrovski A, Li Z, Liu Y. Gyrator-capacitor approach to modeling a continuously variable series reactor. IEEE Transactions on Power Delivery. 2015 Dec 22;31(3):1223-32.
  • Ciftci, Okan, "Distribution Congestion Management Using CVSR Devices. " PhD diss., University of Tennessee, 2023. https://trace.tennessee.edu/utk_graddiss/11306
  • John Grainger J, Stevenson Jr W. Power system analysis. 2003.
  • Cameron SH. Piece-wise linear approximations. 1966 Feb 1.
  • Higham DJ, Higham NJ. MATLAB guide. Society for Industrial and Applied Mathematics; 2016 Dec 28.
  • Dugan RC, Montenegro D. Reference guide: The open distribution system simulator (opendss). Electric Power Research Institute, Inc. 2012 Mar;7:29.
  • Lofberg J. YALMIP: A toolbox for modeling and optimization in MATLAB. In2004 IEEE international conference on robotics and automation (IEEE Cat. No. 04CH37508) 2004 Sep 2 (pp. 284-289). IEEE.
  • Bliek1ú C, Bonami P, Lodi A. Solving mixed-integer quadratic programming problems with IBM-CPLEX: a progress report. InProceedings of the twenty-sixth RAMP symposium 2014 Oct (pp. 16-17).
  • Schneider K, Phanivong P, Lacroix JS. IEEE 342-node low voltage networked test system. In2014 IEEE PES general meeting| conference & exposition 2014 Jul 27 (pp. 1-5). IEEE.

Örgülü Dağıtım Şebekelerinde Tıkanıklık Yönetimi İçin Sürekli Değişken Seri Reaktörlerin (CVSR) Modellenmesi ve Performans Analizi

Year 2026, Volume: 21 Issue: 1 , 271 - 281 , 30.03.2026
https://doi.org/10.55525/tjst.1854193
https://izlik.org/JA54LU54ZC

Abstract

Özellikle yoğun yüklü kentsel alanlardaki dağıtım sistemleri, en yüksek tüketim saatlerinde sıklıkla transformatör aşırı yüklenmesi yaşamaktadır. Bu çalışma, yüksek maliyetli altyapı güçlendirme yatırımlarına veya karmaşık Esnek Alternatif Akım İletim Sistemlerine (FACTS) başvurmak yerine, Sürekli Değişken Seri Reaktör (CVSR) kullanımına dayalı, maliyet açısından etkin bir optimizasyon ve kontrol yaklaşımı önermektedir. Pahalı güç elektroniği bileşenlerine dayalı FACTS cihazlarının aksine CVSR, reaktans ayarını manyetik çekirdek doyumu prensibiyle gerçekleştirmekte; mevcut çözümlerin maliyetinin çok altında bir bedelle (~10 $/kVAr) sağlam ve uygulanabilir bir çözüm ortaya koymaktadır. Bu çalışmada, CVSR'nin kararlı durum modeli türetilmiş ve güç akışı formülasyonlarına entegre edilmiştir. Önerilen model, iki paralel transformatörlü bir sistem kullanılarak doğrulanmış ve yoğun örgülü IEEE 342-Düğümlü Alçak Gerilim Şebeke Test Sistemi (LVNTS) üzerinde test edilmiştir. Simülasyon sonuçları, CVSR’nin güç akışını yeniden dağıtarak transformatör aşırı yüklenmesini etkili bir şekilde hafiflettiğini, böylece sistem esnekliğini artırdığını ve elektrik idarelerinin kapsamlı şebeke yenilemelerinden kaçınmasına veya bunları ertelemesine olanak tanıdığını göstermektedir.

Supporting Institution

Bu çalışma, Tennessee Üniversitesi, Knoxville (UTK) ve Oak Ridge Ulusal Laboratuvarı (ORNL) tarafından bir doktora araştırma projesi kapsamında desteklenmiştir.

References

  • Zhang X, Tomsovic K, Dimitrovski A. Security constrained multi-stage transmission expansion planning considering a continuously variable series reactor. IEEE Transactions on Power Systems. 2017 Feb 20;32(6):4442-50.
  • Hingorani NG. FACTS-flexible AC transmission system. InInternational Conference on AC and DC Power Transmission 1991 Sep 17 (pp. 1-7). IET.
  • Divan D, Johal H. Distributed FACTS-A new concept for realizing grid power flow control. In2005 IEEE 36th power electronics specialists conference 2005 Jun 16 (pp. 8-14). IEEE.
  • Kucherov Y, Utts S. The FACTS and HVDC equipment application for reliability, flexibility and controllability increase in the metropolitan area power system. In11th IET International Conference on AC and DC Power Transmission 2015 Feb 10 (pp. 1-6). IET.
  • Singh B, Tiwari P, Singh SN. Enhancement of power system performances by optimally placed FACTS controllers by using different optimization techniques in distribution systems: A taxonomical review. In2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) 2018 Nov 2 (pp. 1-7). IEEE.
  • Sen KK, Stacey EJ. UPFC-unified power flow controller: theory, modeling, and applications. IEEE transactions on Power Delivery. 1998 Oct 31;13(4):1453-60.
  • Tamimi B, Canizares CA. Modeling and application of hybrid power flow controller in distribution systems. IEEE Transactions on power Delivery. 2018 Aug 1;33(6):2673-82.
  • Saradva PM, Kadivar KT, Pandya MH, Rana AJ. Application of D-STATCOM to control power flow in distribution line. In2016 International conference on energy efficient technologies for sustainability (ICEETS) 2016 Apr 7 (pp. 479-484). IEEE.
  • Khadkikar V, Kirtley JL. Interline Photovoltaic (I-PV) power system; a novel concept of power flow control and management in Power and Energy Society General Meeting.
  • Chen SS, Wang L, Lee WJ, Chen Z. Power flow control and damping enhancement of a large wind farm using a superconducting magnetic energy storage unit. IET Renewable Power Generation. 2009 Mar 9;3(1):23-38.
  • Wade N, Taylor P, Lang P, Svensson J. Energy storage for power flow management and voltage control on an 11kV UK distribution network. In20th International Conference and Exhibition on Electricity Distribution (CIRED 2009) 2009 Jun 8 (p. 0824). Stevenage UK: IET.
  • Ciftci O, Mehrtash M, Kargarian A. Data-driven nonparametric chance-constrained optimization for microgrid energy management. IEEE Transactions on Industrial Informatics. 2019 Jul 31;16(4):2447-57.
  • Yufei WA, Keming LI, Qiang CH, Hua XU, Aiqing YU. Congestion Management Method for Active Distribution Network Based on Market Mechanism and Mobile Energy Storage System. Modern Electric Power. 2023 Jun 26;41(6):1138-47.
  • Ji Y, Zhang Y, Chen L, Zuo J, Wang W, Xu C. The Optimal Dispatch for a Flexible Distribution Network Equipped with Mobile Energy Storage Systems and Soft Open Points. Energies. 2025 May 23;18(11):2701.
  • Elazab R, Salama S, Abo-Adma M, Daowd M. Soft open point integration in active distribution networks and microgrids for sustainable grid planning. Electric Power Systems Research. 2026 Jan 1;252:112362.
  • Dimitrovski A, Li Z, Ozpineci B. Applications of saturable-core reactors (SCR) in power systems. In2014 IEEE PES T&D Conference and Exposition 2014 Apr 14 (pp. 1-5). IEEE.
  • Wass T, Hornfeldt S, Valdemarsson S. Magnetic circuit for a controllable reactor. IEEE transactions on magnetics. 2006 Aug 21;42(9):2196-200.
  • Dimitrovski A, Li Z, Ozpineci B. Magnetic amplifier-based power-flow controller. IEEE transactions on power delivery. 2015 Feb 5;30(4):1708-14.
  • Young M, Dimitrovski A, Li Z, Liu Y, Patterson R. Continously variable series reactor: Impacts on distance protection using CCVTs. In2015 IEEE Power & Energy Society General Meeting 2015 Jul 26 (pp. 1-5). IEEE.
  • Young M, Li Z, Dimitrovski A. Modeling and simulation of continuously variable series reactor for power system transient analysis. In2016 IEEE Power and Energy Society General Meeting (PESGM) 2016 Jul 17 (pp. 1-5). IEEE.
  • Young M, Dimitrovski A, Li Z, Liu Y. Gyrator-capacitor approach to modeling a continuously variable series reactor. IEEE Transactions on Power Delivery. 2015 Dec 22;31(3):1223-32.
  • Ciftci, Okan, "Distribution Congestion Management Using CVSR Devices. " PhD diss., University of Tennessee, 2023. https://trace.tennessee.edu/utk_graddiss/11306
  • John Grainger J, Stevenson Jr W. Power system analysis. 2003.
  • Cameron SH. Piece-wise linear approximations. 1966 Feb 1.
  • Higham DJ, Higham NJ. MATLAB guide. Society for Industrial and Applied Mathematics; 2016 Dec 28.
  • Dugan RC, Montenegro D. Reference guide: The open distribution system simulator (opendss). Electric Power Research Institute, Inc. 2012 Mar;7:29.
  • Lofberg J. YALMIP: A toolbox for modeling and optimization in MATLAB. In2004 IEEE international conference on robotics and automation (IEEE Cat. No. 04CH37508) 2004 Sep 2 (pp. 284-289). IEEE.
  • Bliek1ú C, Bonami P, Lodi A. Solving mixed-integer quadratic programming problems with IBM-CPLEX: a progress report. InProceedings of the twenty-sixth RAMP symposium 2014 Oct (pp. 16-17).
  • Schneider K, Phanivong P, Lacroix JS. IEEE 342-node low voltage networked test system. In2014 IEEE PES general meeting| conference & exposition 2014 Jul 27 (pp. 1-5). IEEE.
There are 29 citations in total.

Details

Primary Language English
Subjects Query Processing and Optimisation, Electrical Energy Transmission, Networks and Systems, Electrical Engineering (Other), Energy Generation, Conversion and Storage (Excl. Chemical and Electrical)
Journal Section Research Article
Authors

Okan Çiftci 0000-0003-3264-3839

Kevin Tomsovic 0000-0002-2867-8556

Gokhan Ozkan 0000-0002-2885-9621

Submission Date January 8, 2026
Acceptance Date March 4, 2026
Publication Date March 30, 2026
DOI https://doi.org/10.55525/tjst.1854193
IZ https://izlik.org/JA54LU54ZC
Published in Issue Year 2026 Volume: 21 Issue: 1

Cite

APA Çiftci, O., Tomsovic, K., & Ozkan, G. (2026). Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks. Turkish Journal of Science and Technology, 21(1), 271-281. https://doi.org/10.55525/tjst.1854193
AMA 1.Çiftci O, Tomsovic K, Ozkan G. Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks. TJST. 2026;21(1):271-281. doi:10.55525/tjst.1854193
Chicago Çiftci, Okan, Kevin Tomsovic, and Gokhan Ozkan. 2026. “Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks”. Turkish Journal of Science and Technology 21 (1): 271-81. https://doi.org/10.55525/tjst.1854193.
EndNote Çiftci O, Tomsovic K, Ozkan G (March 1, 2026) Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks. Turkish Journal of Science and Technology 21 1 271–281.
IEEE [1]O. Çiftci, K. Tomsovic, and G. Ozkan, “Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks”, TJST, vol. 21, no. 1, pp. 271–281, Mar. 2026, doi: 10.55525/tjst.1854193.
ISNAD Çiftci, Okan - Tomsovic, Kevin - Ozkan, Gokhan. “Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks”. Turkish Journal of Science and Technology 21/1 (March 1, 2026): 271-281. https://doi.org/10.55525/tjst.1854193.
JAMA 1.Çiftci O, Tomsovic K, Ozkan G. Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks. TJST. 2026;21:271–281.
MLA Çiftci, Okan, et al. “Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks”. Turkish Journal of Science and Technology, vol. 21, no. 1, Mar. 2026, pp. 271-8, doi:10.55525/tjst.1854193.
Vancouver 1.Okan Çiftci, Kevin Tomsovic, Gokhan Ozkan. Modeling and Performance Analysis of Continuously Variable Series Reactors (CVSR) for Congestion Management in Meshed Distribution Networks. TJST. 2026 Mar. 1;21(1):271-8. doi:10.55525/tjst.1854193