Optimal Locating and Sizing of Unified Power Quality Conditioner for Multi-Objective Congestion Management by Hybrid Fuzzy- Harmony Search Algorithm

Document Type : Research Article

Authors

1 Department of Electrical Engineering, Mahdishahr Branch, Islamic Azad University, Mahdishahr, Iran.

2 Faculty of Computer Engineering, Shahrood University of Technology, Semnan, Iran.

3 Faculty of Electrical Engineering, Shahrood University of Technology, Semnan, Iran

Abstract

Flexible AC transmission system devices can function efficiently, powerfully, and economically in congestion management through the control of the lines transmission power and the voltage of the power systems buses. However, the congestion management of power systems may affect the transient stability or network voltage stability, and also reduce the system security. Therefore, constructing congestion management requires the consideration of power system stability. In this paper, a multi-objective Fuzzy structure is employed to obtain the optimal locating and sizing of the Unified Power Quality Conditioner -phase angle control for the congestion management, so that it optimizes total operating cost, voltage, and transient security. In order to achieve the above goals, Unified Power Quality Conditioner-phase angle control placement has been performed using the Fuzzy method. Using Fuzzy inference system, triple objective functions are expressed in terms of a single objective function and optimized with the Harmony Search Algorithm. To illustrate the effectiveness of the proposed approach, this method is implemented in MATLAB software for the congestion management of England's new network with 39 buses. The results indicate that using the proposed method, congestion management is done optimally, which not only does not reduce system security, but also increases its security margin.

Keywords

Main Subjects

References

  1. Barbulescu, P. Kilyeni, D. Cristian, D. Jigoria Oprea, "Congestion management using open power market environment electricity trading", 45th International on Engineering Conference (UPEC), pp. 1-6, September 2010 .  
  2. M. Esfahani, G. R. Yousefi, "Real time congestion management in power systems considering quasi-dynamic thermal rating and congestion clearing time", IEEE Transactions on Industrial Informatics, Vol. 12, No. 2, pp.745-754, February 2016.
  3. Ahmadi, M. Khanabadi, H. Ghasemi, "Transmission system reconfiguration for congestion management ensuring transient and voltage stability", 13th International Conference on Environment and Electrical Engineering (EEEIC), pp. 22-26, November 2013.
  4. Esmaili, N. Amjady, H. A. Shayanfar, "Stochastic multi-objective congestion management in power markets improving voltage and transient stabilities", Int. Trans. Electr. Energ. Syst, Vol. 21, No. 1, pp. 99-115, 21 January 2011.
  5. Granelli, M. Montagna, F. Zanellini, P. Bresesti, R. Vailati, M. Innorta, "Optimal network reconfiguration for congestion management by deterministic and genetic algorithms", Electric power systems research, Vol. 76, No. 6-7, pp. 549-556, April 2006.
  6. A. J. Basha, M. Anitha, "Transmission congestion management in restructured power system using firefly algorithm", International Journal of Computer Applications, Vol. 85, No. 1, pp. 39-43, January 2014.
  7. Khan, A. Siddiqui, "Congestion management in deregulated power system using FACTS device", International Journal of System Assurance Engineering and Management, Vol. 8, No. 1, pp. 1-7, 2017.
  8. Mobtahej, K. Esapour, S. Z. Tajalli, M. Mohammadi, "Effective demand response and GANs for optimal constraint unit commitment in solar‐tidal based microgrids", IET Renewable Power Generation, DOI: 10.1049/rpg2.12331.
  9. Elango, S. Paranjothi, "Congestion management in restructured power systems by FACTS devices and load shedding using extended quadratic interior point method", International Journal of Applied Engineering Research, Vol. 57, No. 3, pp. 380-390, October 2011.
  10. Talukdar, A. Sinha, S. Mukhopadhyay, A. Bose, "A computationally simple method for cost-efficient generation rescheduling and load shedding for congestion management", International Journal of Electrical Power & Energy Systems, Vol. 27, No. 5-6, pp. 379-388, June 2005.
  11. Dutta, S. Singh, "Optimal rescheduling of generators for congestion management based on particle swarm optimization", IEEE Transactions on Power Systems, Vol. 23, No. 4, pp. 1560-1569, August 2008.
  12. Nematbakhsh, A. Hooshmand, R. Hemmati, "A new restructuring of centralized congestion management focusing on flow‐gate and locational price impacts", Int. Trans. Electr. Energ. Syst, e2482, February 2018.
  13. Singh, R. Mahanty, S. P. Singh, "Social welfare maximization for congestion management in multiutility market using improved PSO incorporating transmission loss cost allocation", Int. Trans. Electr. Energ. Syst, e2593, September 2018.
  14. Saravanabalaji, R. Krishnathevar, H. Thilagar, D. Durairaj, "A novel approach for congestion management using improved differential evolution algorithm", Int. Trans. Electr. Energ. Syst, e2614, October 2018.
  15. Heydaripour, A. Akbari Foroud, "A New Framework for Congestion Management with Exact Modeling of Impacting Factors", Iranian Journal of Electrical & Electronic Engineering, Vol. 8, No. 4, pp. 329-340, September 2012.
  16. Balaraman, N. Kamaraj, "Real Time Congestion Management in Deregulated Electricity Market Using Artificial Neural Network", Iranian Journal of Electrical and Computer Engineering, Vol. 10, No. 1, pp. 34-40, November 2011.
  17. Ye, H. B. Gooi, "Optimization of the Size of UPQC System Based on Data-Driven Control Design", IEEE Transactions on Smart Grid, Vol. 9, No. 4, pp. 2999-3008, November 2016.
  18. Ali, K. Wu, K. Weston, D. Marinakis, "A machine learning approach to meter placement for power quality estimation in smart grid", IEEE Transactions on Smart Grid, Vol. 7, No. 3, pp. 1552-1561, July 2016.
  19. Gitizadeh, M. Kalantar, "FACTS devices allocation to congestion alleviation incorporating voltage dependence of loads", Iranian Journal of Electrical & Electronic Engineering, Vol. 4, No. 4, pp. 176-190, June 2008.
  20. Fujita, H. Akagi, "The Unified Power Quality Conditioner: the integration of series-and shunt-active filters", IEEE transactions on power electronics, Vol. 13, No.2, pp. 315-322, March 1998.
  21. Khadkikar, "Enhancing electric power quality using UPQC: A comprehensive overview", IEEE transactions on Power Electronics, Vol. 27, No. 5, pp. 2284-2297, December 2012.
  22. He, B. Liang, Y. W. Li, C. Wang, "Simultaneous Microgrid Voltage and Current Harmonics Compensation Using Coordinated Control of Dual-Interfacing Converters", IEEE Transactions on Power Electronics, Vol. 32, No. 4, pp. 2647-2660, June 2016.
  23. Verma, S. Singh, H. Gupta, "Location of unified power flow controller for congestion management", Electric Power Systems Research, Vol. 58, No. 2, pp. 89-96, June 2001.
  24. Chong, X. P. Zhang, K. R. Godfrey, L. Yao, M. Bazargan, "Optimal location of unified power flow controller for congestion management", Int. Trans. Electr. Energ. Syst, Vol. 20, No. 5, pp. 600-610, July 2010.
  25. M. G. Kumar, P. Venkatesh, P. S. Raju, "Modeling and Analysis of SVC, TCSC, TCPAR in Power Flow Studies", International Journal of Emerging Technology and Advanced Engineering, Vol. 3, No. 1, pp. 418-425, January 2013.
  26. Ashokkumar, M. RathinaKumar and M. Yogesh,"Flexible AC Transmission Devices as a Means for Transmission Line Congestion Management-A Bibliographical Survey", International Journal of soft Computing and Engineering, Vol. 3, No. 1, pp. 229-234, July 2013.
  27. Zeraatzade, "Transmission congestion management by optimal placement of FACTS devices", Brunel University School of Engineering and Design PhD Theses, 2010.
  28. R. S. Reddy, N. P. Padhy, R. Patel, "Congestion management in deregulated power system using FACTS devices", In 2006 IEEE Power India Conference, 10April 2006.
  29. Moradi, Y. Alinejad-Beromi, K. Kiani, "Locating of Series FACTS Devices for Multi-Objective Congestion Management Using Components of Nodal Prices", Iranian Journal of Electrical & Electronic Engineering, Vol. 13, No. 1, pp. 32-46, March 2017.
  30. R. Salkuti, S-C. Kim, "Congestion Management Using Multi-Objective Glowworm Swarm Optimization Algorithm", Journal of Electrical Engineering & Technology, Vol. 14, No. 4, pp. 1565-1575, May 2019.
  31. R. Salkuti, "Multi-objective-based optimal transmission switching and demand response for managing congestion in hybrid power systems ", International Journal of Green Energy, Vol. 17, No. 8, pp. 457-466, May 2020.
  32. Asija, P. Choudekar, "Congestion management using multi-objective hybrid DE-PSO optimization with solar-ess based distributed generation in deregulated power Market", Renewable Energy Focus, Vol. 36, pp. 32-42, March 2021.
  33. R. Moradi, Y. Alinejad-Beromi, M. Parsa and M. Mohammadi," Optimal Locating and Sizing of Unified Power Quality Conditioner - phase Angle Control for Reactive Power Compensation in Radial Distribution Network with Wind Generation", International Journal of Engineering (IJE), IJE TRANSACTIONS B: Applications, Vol. 31, No. 2, pp. 299-306, February 2018.
  34. Ganguly, "Multi-objective planning for reactive power compensation of radial distribution networks with Unified Power Quality Conditioner allocation using particle swarm optimization", IEEE Transactions on Power Systems, Vol. 29, No. 4, pp. 1801-1810, January 2014.
  35. Kumar Tiwari, Y. Raj Sood, "An Approach for Optimal Placement, Rating and Investment Cost Recovery of a TCSC in Double Auction Power Market", Proceedings of International Conference on Power Systems, Energy, Environment, pp. 91-97, 22 February 2014.
  36. Amjady, M. Esmaili, "Improving voltage security assessment and ranking vulnerable buses with consideration of power system limits", International Journal of Electrical Power & Energy Systems, Vol. 25, No. 9, pp. 705-715, November 2003.
  37. Esmaili, H. A. Shayanfar, R. Moslemi, "Locating series FACTS devices for multi-objective congestion management improving voltage and transient stability", European Journal of Operational Research, Vol. 236, No. 2, pp. 763-773, July 2014.
  38. Da-Zhong, T. S. Chung, Z. Yao, S. Wennan,"Transient stability limit conditions analysis using a corrected transient energy function approach", IEEE Transactions on Power Systems, Vol. 15, No. 2, pp. 804-810, May 2000.
  39. S. Lee, Z. W. Geem, "A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice", Computer methods in applied mechanics and engineering, Vol. 194, No. 36, pp. 3902-3933, September 2005.
  40. Bills, "On-line stability analysis study, RP 90-1", North American Rockwell Information Systems Co., Anaheim, CA (USA) 1970.
AUT Journal of Electrical Engineering
Volume 54, Issue 2
December 2022
Pages 225-234

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