JCMPSISSN:2582-6085

Optimal Allocation of Unified Power Flow Controller via Bat Algorithm

Abstract

"The Unified Power Flow Controller (UPFC) is one of the most promising Flexible AC Transmission Systems (FACTS) devices for the load flow control". Therefore, optimizing the position and size of UPFCs is a significant concern for raising the loading capability of the system. So far, several optimization approaches were introduced for resolving the issues in UPFC. Here, this work intends to establish a Bat Algorithm (BA) model for optimal sizing and positioning of UPFC to attain Optimal Power Flow (OPF). The deployed model is the improved edition of the conventional BA algorithm. Moreover, the objective specified for resolving the placement issue comprises of the reduction of cost and power loss. At last, the supremacy of developed model is evaluated over conventional models in terms of power loss. From the analysis, the performance of the implemented BA is 5% and 2.06% better than the compared ABC and GSA models.

References

  • Ravindra, Chintalapudi V. Suresh, S. Sivanagaraju, V. C. Veera Reddy, “Power system security enhancement with unified power flow controller under multi-event contingency conditions”, Ain Shams Engineering Journal, vol. 8, no. 1, pp. 9-28, March 2017.
  • Ahmet Mete Vural, Emile Njodzefon Wirsiy, “Three-phase modular multilevel converter based unified power flow controller”, Engineering Science and Technology, an International Journal, In press, corrected proof, Available online 22 May 2019.
  • Susanta Dutta, Pranabesh Mukhopadhyay, Provas Kumar Roy, Debashis Nandi, “Unified power flow controller based reactive power dispatch using oppositional krill herd algorithm”, International Journal of Electrical Power & Energy Systems, vol. 80, pp. 10-25, September 2016.
  • Majid Moazzami, Mohammad Javad Morshed, Afef Fekih, “A new optimal unified power flow controller placement and load shedding coordination approach using the Hybrid Imperialist Competitive Algorithm-Pattern Search method for voltage collapse prevention in power system”, International Journal of Electrical Power & Energy Systems, vol. 79, pp. 263-274, July 2016.
  • Shenghu Li, Ting Wang, Hao Zhang, Lei Wang, Jing Xue., “Sensitivity-based coordination to controllable ranges of UPFCs to avoid active power loop flows”, International Journal of Electrical Power & Energy Systems, vol. 114, January 2020, Article 105383
  • B. Chen, W. Fei, C. Tian and J. Yuan, "Research on an Improved Hybrid Unified Power Flow Controller," IEEE Transactions on Industry Applications, vol. 54, no. 6, pp. 5649-5660, Nov.-Dec. 2018.
  • F. Z. Peng, Y. Liu, S. Yang, S. Zhang, D. Gunasekaran and U. Karki, "Transformer-Less Unified Power-Flow Controller Using the Cascade Multilevel Inverter," IEEE Transactions on Power Electronics, vol. 31, no. 8, pp. 5461-5472, Aug. 2016.
  • R. Thirumalaivasan, Y. Xu and M. Janaki, "Power Control With Z-Source Converter Based Unified Power Flow Controller," IEEE Transactions on Power Electronics, vol. 32, no. 12, pp. 9413-9423, Dec. 2017.
  • J. Tang et al., "Research on AC transmission line fault ride-through control strategy of MMC-based unified power flow controller", in The Journal of Engineering, vol. 2017, no. 13, pp. 1580-1583, 2017.
  • Laifa Abdelaziz, Boudour Mohamed, “Optimal placement and parameter settings of unified power flow controller device using a perturbed particle swarm optimization”, IEEE Int Energy Conf Exhibit, 2010:205–10.
  • B. Vijay Kumar, N. V. Srikanth, “Optimal location and sizing of Unified Power Flow Controller (UPFC) to improve dynamic stability: A hybrid technique”, International Journal of Electrical Power & Energy Systems, vol. 64, pp. 429-438, January 2015.
  • Mustafa Servet Kıran, Oğuz Fındık, “A directed artificial bee colony algorithm”, Applied Soft Computing, vol. 26, pp. 454-462, January 2015.
  • Esmat Rashedi, Hossein Nezamabadi-pour and Saeid Saryazdi, "GSA: A Gravitational Search Algorithm", Information Sciences, vol.179, pp.2232–2248, 2009.
  • Thomas, Renjith & Rangachar, M.. (2016). “Integrating GWTM and BAT algorithm for face recognition in low-resolution images. The Imaging Science Journal”. 64. 441-452. 10.1080/13682199.2016.1231990.
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DOI : https://doi.org/10.46253/jcmps.v4i1.a1

Author information

Affiliations

University of Michigan Dearborn, USA

Publisher Information

  • Received

    21 September

  • Revised

    28 November

  • Accepted

    2 January

Keywords
UPFC; FACTS; Bat Algorithm; Optimal flow Control; Power Quality.

Publisher : Resbee Publisher