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Reconfiguration of Distribution Systems Using Thevenin Based Voltage Stability Index

Year 2022, Volume: 10 Issue: 3, 665 - 678, 01.09.2022
https://doi.org/10.36306/konjes.1093471

Abstract

The optimal operation of distribution systems is of great importance since the distribution systems are ended with consumers. It generates an optimization problem to determine the ideal distribution system reconfiguration, as well as the optimal location and size of distributed generation (DG) facilities so that distribution systems can benefit the most. The optimal solution of the problem plays a significant role in maximizing benefits such as reducing power losses, improving voltage profile, and more stable operation of the system. So, the problem is formulated as a multi-objective optimization problem to decrease power losses, improve voltage profile and increase stability. A voltage stability index based on Thevenin equivalent circuit model has been adapted to improve voltage stability. The multi-objective optimization problem has been solved by using the Slime Mould Optimization algorithm to obtain the optimal location and size of DGs along with the reconfiguration of the radial distribution system. The proposed approach has been tested on IEEE 33 bus test system. By applying the proposed approach to the IEEE 33 bus test system, it has been verified that the power losses are reduced, the voltage profile of the system is improved, and the system becomes more stable. The proposed approach has also been compared with several studies using different optimization techniques and stability indexes. The results show that the proposed approach gives better results than the compared studies in terms of power loss, improvement of voltage profile, and stability.

References

  • Abdelkader, Mohamed A., Zeinab H. Osman, and Mostafa A. Elshahed. 2021. “New Analytical Approach for Simultaneous Feeder Reconfiguration and DG Hosting Allocation in Radial Distribution Networks.” Ain Shams Engineering Journal 12(2): 1823–37. https://doi.org/10.1016/j.asej.2020.09.024.
  • Abid, Md Shadman, Hasan Jamil Apon, Ashik Ahmed, and Khandaker Adil Morshed. 2022. “Chaotic Slime Mould Optimization Algorithm for Optimal Load-Shedding in Distribution System.” Ain Shams Engineering Journal 13(4): 101659. https://doi.org/10.1016/j.asej.2021.101659.
  • Alizadeh, Seyed Morteza, Cagil Ozansoy, and Tansu Alpcan. 2016. “The Impact of X/R Ratio on Voltage Stability in a Distribution Network Penetrated by Wind Farms.” Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016.
  • Arun, M., and P. Aravindhababu. 2009. “A New Reconfiguration Scheme for Voltage Stability Enhancement of Radial Distribution Systems.” Energy Conversion and Management 50(9): 2148–51. http://dx.doi.org/10.1016/j.enconman.2009.04.022.
  • Bayat, A., A. Bagheri, and R. Noroozian. 2016. “Optimal Siting and Sizing of Distributed Generation Accompanied by Reconfiguration of Distribution Networks for Maximum Loss Reduction by Using a New UVDA-Based Heuristic Method.” International Journal of Electrical Power and Energy Systems 77: 360–71. http://dx.doi.org/10.1016/j.ijepes.2015.11.039.
  • Demircioğlu,S., 2006, Enerji Sistemlerinde Gerilim Kararlılığı Sınırlarının Yerel Bara Parametreleri Kullanılarak Gerçek Zamanlı Değerlendirilmesi, Doktora Tezi, Sakarya Üniversitesi Fen Bilimleri Enstitüsü, Sakarya
  • Georgilakis, Pavlos S., and Nikos D. Hatziargyriou. 2013. “Optimal Distributed Generation Placement in Power Distribution Networks: Models, Methods, and Future Research.” IEEE Transactions on Power Systems 28(3): 3420–28.
  • Hashmi, Md Umar, Rahul Choudhary, and Jayesh G. Priolkar. 2015. “Online Thevenin Equivalent Parameter Estimation Using Nonlinear and Linear Recursive Least Square Algorithm.” Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2015 (July).
  • Imran Ahmad Quadri, S. Bhowmick, D. Joshi. 2018 “A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems.” Applied Energy, 211; 1245-1260.
  • Khodr, H M, J. Martinez-Crespo, M A Matos, and J Pereira. 2009. “Distribution Systems Reconfiguration Based on OPF Using Benders Decomposition.” IEEE Transactions on Power Delivery 24(4): 2166–76. http://ieeexplore.ieee.org/document/5235762/.
  • Li Shimin, Huiling Chen, Mingjing Wang, Ali Asghar Heidari, Seyedali Mirjalili. 2020. “Slime Mould Algorithm: A New Method for Stochastic Optimization.” Future Generation Computer Systems 111: 300–323.
  • Mahdavi, Meisam, Hassan Haes Alhelou, Nikos D. Hatziargyriou, and Francisco Jurado. 2021. “Reconfiguration of Electric Power Distribution Systems: Comprehensive Review and Classification.” IEEE Access 9: 118502–27.
  • Mahmoud Pesaran H.A, Phung Dang Huy, Vigna K. Ramachandaramurthy. 2017. “A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms.” Renewable and Sustainable Energy Reviews,75: 293-312
  • McDermott, T. E., I. Drezga, and R. P. Broadwater. 1999. “A Heuristic Nonlinear Constructive Method for Distribution System Reconfiguration.” IEEE Transactions on Power Systems 14(2): 478–83.
  • Mishra, Sivkumar, Debapriya Das, and Subrata Paul. 2017. “A Comprehensive Review on Power Distribution Network Reconfiguration.” Energy Systems 8(2): 227–84.
  • Modarresi, Javad, Eskandar Gholipour, and Amin Khodabakhshian. 2016. “A Comprehensive Review of the Voltage Stability Indices.” Renewable and Sustainable Energy Reviews 63: 1–12. http://dx.doi.org/10.1016/j.rser.2016.05.010.
  • Mohamed Imran, A., M. Kowsalya, and D. P. Kothari. 2014. “A Novel Integration Technique for Optimal Network Reconfiguration and Distributed Generation Placement in Power Distribution Networks.” International Journal of Electrical Power and Energy Systems 63: 461–72. http://dx.doi.org/10.1016/j.ijepes.2014.06.011.
  • Nakagaki, Toshiyuki, Hiroyasu Yamada, and Tetsuo Ueda. 2000. “Interaction between Cell Shape and Contraction Pattern in the Physarum Plasmodium.” Biophysical Chemistry 84(3).
  • Nguyen, Thuan Thanh, and Anh Viet Truong. 2015. “Distribution Network Reconfiguration for Power Loss Minimization and Voltage Profile Improvement Using Cuckoo Search Algorithm.” International Journal of Electrical Power and Energy Systems 68: 233–42. http://dx.doi.org/10.1016/j.ijepes.2014.12.075.
  • Ranjan, R., B. Venkatesh, and D. Das. 2003. “Voltage Stability Analysis of Radial Distribution Networks.” Electric Power Components and Systems 31(5): 501–11.
  • O. Aliman, I. Musirin, M. M. Othman and M. H. Sulaiman, "Heuristic based placement technique for distributed generation," 2011 5th International Power Engineering and Optimization Conference, 2011, pp. 83-87, doi: 10.1109/PEOCO.2011.5970454.
  • Rao R. S., Ravindra, K., K. Satish and Narasimham, S. V. L., 2013. "Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation," IEEE Transactions on Power Systems 28(1): 317-325. doi: 10.1109/TPWRS.2012.2197227.
  • Rawat, Mahiraj Singh, and Shelly Vadhera. 2019. “Heuristic Optimization Techniques for Voltage Stability Enhancement of Radial Distribution Network with Simultaneous Consideration of Network Reconfiguration and DG Sizing and Allocations.” Turkish Journal of Electrical Engineering and Computer Sciences 27(1): 330–45.
  • Sun, Huadong, Xiaoxin Zhou, and Ruomei Li. 2005. “Accuracy Analysis of Static Voltage Stability Indices Based on Power Flow Model.” Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference 2005: 1–7.
  • Syahputra, Ramadoni, Indah Soesanti, and Mochamad Ashari. 2016. “Performance Enhancement of Distribution Network with Dg Integration Using Modified PSO Algorithm.” Journal of Electrical Systems 12(1): 1–19.
  • Tobón V., Jorge Esteban, Rosa E Correa Gutiérrez, and Juan M. Ramirez. 2014. “27-Voltage Collapse Detection Based on Local Measurements.” Electric Power Systems Research 107: 77–84. http://dx.doi.org/10.1016/j.epsr.2013.09.013.
  • Tonso, Matteo, Johan Morren, Sjoerd W.H. De Haan, and J. A. Ferreira. 2005. “Variable Inductor for Voltage Control in Distribution Networks.” 2005 European Conference on Power Electronics and Applications 2005.
  • Vu, Khoi, M.M. Begovic, D. Novosel, and M.M. Saha. 1999. “Use of Local Measurements to Estimate Voltage-Stability Margin.” IEEE Transactions on Power Systems 14(3): 1029–35. http://ieeexplore.ieee.org/document/780916/.
  • Yuan, Haoyu, and Fangxing Li. 2014. “A Comparative Study of Measurement-Based Thevenin Equivalents Identification Methods.” 2014 North American Power Symposium, NAPS 2014
  • Y. Li and X. Chang, "A MST-based and new GA supported distribution network planning," 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), 2011, pp. 2534-2538, doi: 10.1109/MEC.2011.6026009.

THEVENİN TEMELLİ GERİLİM KARARLILIK İNDEKSİ KULLANILARAK DAĞITIM SİSTEMLERİNİN YENİDEN YAPILANDIRILMASI

Year 2022, Volume: 10 Issue: 3, 665 - 678, 01.09.2022
https://doi.org/10.36306/konjes.1093471

Abstract

Dağıtım sistemleri elektrik enerjisinin son tüketiciye ulaştığı sistemler olduğundan, sistemlerin optimal çalışması büyük önem taşımaktadır. Dağıtım sistemlerinin maksimum fayda ile çalışabilmesi; sistemin yeniden yapılandırılması, dağıtık üretim (DÜ) tesislerinin optimal bağlantı noktaları ve boyutlarının belirlenmesi gibi amaçları olan bir optimizasyon problemini ortaya çıkarır. Bu problemin uygun çözümü şebeke kayıplarının azaltılması, gerilim profilinin iyileştirilmesi ve sistemin daha kararlı çalışması gibi faydaların maksimize edilmesinde çok önemli bir rol oynar. Bu amaçla problem; kayıpların azaltılması, gerilim profilinin iyileştirilmesi ve kararlılığın artırılması için çok amaçlı bir optimizasyon problemi olarak modellenmiştir. Gerilim kararlılığını arttırmak için Thevenin eşdeğer devre modeline dayalı bir gerilim kararlılık indeksi uyarlanmıştır. Oluşturulan denklemler cıvık mantar optimizasyon algoritması ile çözülerek, Radyal Dağıtım Sistemi (RDS) yeniden yapılandırılmış ve DÜ tesislerinin bağlantı noktaları ile boyutları belirlenmiştir. Önerilen yaklaşım IEEE 33 baralı test sistemine uygulanarak sistem kayıplarının azaldığı, sistemin bara gerilim değerlerinin arttığı ve sistemin daha kararlı hale geldiği doğrulanmıştır. Önerilen yaklaşım, farklı kararlılık indeksi kullanılarak yapılan optimizasyon çalışmaları ile karşılaştırılmış ve sonuçların diğer yaklaşımlardan daha iyi çıktığı görülmüştür.

References

  • Abdelkader, Mohamed A., Zeinab H. Osman, and Mostafa A. Elshahed. 2021. “New Analytical Approach for Simultaneous Feeder Reconfiguration and DG Hosting Allocation in Radial Distribution Networks.” Ain Shams Engineering Journal 12(2): 1823–37. https://doi.org/10.1016/j.asej.2020.09.024.
  • Abid, Md Shadman, Hasan Jamil Apon, Ashik Ahmed, and Khandaker Adil Morshed. 2022. “Chaotic Slime Mould Optimization Algorithm for Optimal Load-Shedding in Distribution System.” Ain Shams Engineering Journal 13(4): 101659. https://doi.org/10.1016/j.asej.2021.101659.
  • Alizadeh, Seyed Morteza, Cagil Ozansoy, and Tansu Alpcan. 2016. “The Impact of X/R Ratio on Voltage Stability in a Distribution Network Penetrated by Wind Farms.” Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016.
  • Arun, M., and P. Aravindhababu. 2009. “A New Reconfiguration Scheme for Voltage Stability Enhancement of Radial Distribution Systems.” Energy Conversion and Management 50(9): 2148–51. http://dx.doi.org/10.1016/j.enconman.2009.04.022.
  • Bayat, A., A. Bagheri, and R. Noroozian. 2016. “Optimal Siting and Sizing of Distributed Generation Accompanied by Reconfiguration of Distribution Networks for Maximum Loss Reduction by Using a New UVDA-Based Heuristic Method.” International Journal of Electrical Power and Energy Systems 77: 360–71. http://dx.doi.org/10.1016/j.ijepes.2015.11.039.
  • Demircioğlu,S., 2006, Enerji Sistemlerinde Gerilim Kararlılığı Sınırlarının Yerel Bara Parametreleri Kullanılarak Gerçek Zamanlı Değerlendirilmesi, Doktora Tezi, Sakarya Üniversitesi Fen Bilimleri Enstitüsü, Sakarya
  • Georgilakis, Pavlos S., and Nikos D. Hatziargyriou. 2013. “Optimal Distributed Generation Placement in Power Distribution Networks: Models, Methods, and Future Research.” IEEE Transactions on Power Systems 28(3): 3420–28.
  • Hashmi, Md Umar, Rahul Choudhary, and Jayesh G. Priolkar. 2015. “Online Thevenin Equivalent Parameter Estimation Using Nonlinear and Linear Recursive Least Square Algorithm.” Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2015 (July).
  • Imran Ahmad Quadri, S. Bhowmick, D. Joshi. 2018 “A comprehensive technique for optimal allocation of distributed energy resources in radial distribution systems.” Applied Energy, 211; 1245-1260.
  • Khodr, H M, J. Martinez-Crespo, M A Matos, and J Pereira. 2009. “Distribution Systems Reconfiguration Based on OPF Using Benders Decomposition.” IEEE Transactions on Power Delivery 24(4): 2166–76. http://ieeexplore.ieee.org/document/5235762/.
  • Li Shimin, Huiling Chen, Mingjing Wang, Ali Asghar Heidari, Seyedali Mirjalili. 2020. “Slime Mould Algorithm: A New Method for Stochastic Optimization.” Future Generation Computer Systems 111: 300–323.
  • Mahdavi, Meisam, Hassan Haes Alhelou, Nikos D. Hatziargyriou, and Francisco Jurado. 2021. “Reconfiguration of Electric Power Distribution Systems: Comprehensive Review and Classification.” IEEE Access 9: 118502–27.
  • Mahmoud Pesaran H.A, Phung Dang Huy, Vigna K. Ramachandaramurthy. 2017. “A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms.” Renewable and Sustainable Energy Reviews,75: 293-312
  • McDermott, T. E., I. Drezga, and R. P. Broadwater. 1999. “A Heuristic Nonlinear Constructive Method for Distribution System Reconfiguration.” IEEE Transactions on Power Systems 14(2): 478–83.
  • Mishra, Sivkumar, Debapriya Das, and Subrata Paul. 2017. “A Comprehensive Review on Power Distribution Network Reconfiguration.” Energy Systems 8(2): 227–84.
  • Modarresi, Javad, Eskandar Gholipour, and Amin Khodabakhshian. 2016. “A Comprehensive Review of the Voltage Stability Indices.” Renewable and Sustainable Energy Reviews 63: 1–12. http://dx.doi.org/10.1016/j.rser.2016.05.010.
  • Mohamed Imran, A., M. Kowsalya, and D. P. Kothari. 2014. “A Novel Integration Technique for Optimal Network Reconfiguration and Distributed Generation Placement in Power Distribution Networks.” International Journal of Electrical Power and Energy Systems 63: 461–72. http://dx.doi.org/10.1016/j.ijepes.2014.06.011.
  • Nakagaki, Toshiyuki, Hiroyasu Yamada, and Tetsuo Ueda. 2000. “Interaction between Cell Shape and Contraction Pattern in the Physarum Plasmodium.” Biophysical Chemistry 84(3).
  • Nguyen, Thuan Thanh, and Anh Viet Truong. 2015. “Distribution Network Reconfiguration for Power Loss Minimization and Voltage Profile Improvement Using Cuckoo Search Algorithm.” International Journal of Electrical Power and Energy Systems 68: 233–42. http://dx.doi.org/10.1016/j.ijepes.2014.12.075.
  • Ranjan, R., B. Venkatesh, and D. Das. 2003. “Voltage Stability Analysis of Radial Distribution Networks.” Electric Power Components and Systems 31(5): 501–11.
  • O. Aliman, I. Musirin, M. M. Othman and M. H. Sulaiman, "Heuristic based placement technique for distributed generation," 2011 5th International Power Engineering and Optimization Conference, 2011, pp. 83-87, doi: 10.1109/PEOCO.2011.5970454.
  • Rao R. S., Ravindra, K., K. Satish and Narasimham, S. V. L., 2013. "Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation," IEEE Transactions on Power Systems 28(1): 317-325. doi: 10.1109/TPWRS.2012.2197227.
  • Rawat, Mahiraj Singh, and Shelly Vadhera. 2019. “Heuristic Optimization Techniques for Voltage Stability Enhancement of Radial Distribution Network with Simultaneous Consideration of Network Reconfiguration and DG Sizing and Allocations.” Turkish Journal of Electrical Engineering and Computer Sciences 27(1): 330–45.
  • Sun, Huadong, Xiaoxin Zhou, and Ruomei Li. 2005. “Accuracy Analysis of Static Voltage Stability Indices Based on Power Flow Model.” Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference 2005: 1–7.
  • Syahputra, Ramadoni, Indah Soesanti, and Mochamad Ashari. 2016. “Performance Enhancement of Distribution Network with Dg Integration Using Modified PSO Algorithm.” Journal of Electrical Systems 12(1): 1–19.
  • Tobón V., Jorge Esteban, Rosa E Correa Gutiérrez, and Juan M. Ramirez. 2014. “27-Voltage Collapse Detection Based on Local Measurements.” Electric Power Systems Research 107: 77–84. http://dx.doi.org/10.1016/j.epsr.2013.09.013.
  • Tonso, Matteo, Johan Morren, Sjoerd W.H. De Haan, and J. A. Ferreira. 2005. “Variable Inductor for Voltage Control in Distribution Networks.” 2005 European Conference on Power Electronics and Applications 2005.
  • Vu, Khoi, M.M. Begovic, D. Novosel, and M.M. Saha. 1999. “Use of Local Measurements to Estimate Voltage-Stability Margin.” IEEE Transactions on Power Systems 14(3): 1029–35. http://ieeexplore.ieee.org/document/780916/.
  • Yuan, Haoyu, and Fangxing Li. 2014. “A Comparative Study of Measurement-Based Thevenin Equivalents Identification Methods.” 2014 North American Power Symposium, NAPS 2014
  • Y. Li and X. Chang, "A MST-based and new GA supported distribution network planning," 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), 2011, pp. 2534-2538, doi: 10.1109/MEC.2011.6026009.
There are 30 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Article
Authors

Talha Enes Gümüş 0000-0002-6716-6414

Selcuk Emiroglu 0000-0001-7319-8861

Selim Meriç 0000-0001-8807-8416

Mustafa Turan 0000-0002-9184-1061

Publication Date September 1, 2022
Submission Date March 25, 2022
Acceptance Date July 6, 2022
Published in Issue Year 2022 Volume: 10 Issue: 3

Cite

IEEE T. E. Gümüş, S. Emiroglu, S. Meriç, and M. Turan, “THEVENİN TEMELLİ GERİLİM KARARLILIK İNDEKSİ KULLANILARAK DAĞITIM SİSTEMLERİNİN YENİDEN YAPILANDIRILMASI”, KONJES, vol. 10, no. 3, pp. 665–678, 2022, doi: 10.36306/konjes.1093471.