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Enhancement of Transmission System Loadability During Contingency by Optimal Allocation of FACTS Devices Using Particle Swarm Optimization

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Intelligent Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 343))

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Abstract

This paper deals with the enhancement of transmission system loadability with single contingency by optimal location and settings of multi-type Fexible AC Transmission System (FACTS) devices such as Thyristor-Controlled Series Compensator (TCSC) and Static Var Compensator (SVC). Contingency Severity Index (CSI) is used for the optimal location of FACTS devices. To enhance the socioeconomical benefits, the solution to the problem is optimized using Particle Swarm Optimization (PSO) technique thereby minimizing the Installation Cost (IC) of FACTS devices and Severity of OverLoading (SOL).

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References

  1. Vinu Priya, G., Jerril Gilda, S.: Enhancement of available transfer capability using facts devices in deregulated electricity market. Int. J. Eng. Technol. Innov. (IJETI) 1(2) (2014). ISSN (Online) 2348-0866

    Google Scholar 

  2. Sakthivel, S., Mary, D.: Reactive power optimization for voltage stability limit improvement incorporating TCSC device through DE/PSO under contingency condition. IU-JEEE 12(1), 1419–1430 (2012)

    Google Scholar 

  3. Singh, B., Sharma, N.K., Tiwari, A.N.: A study on enhancement of loadability of large-scale emerging power systems by using FACTS controllers. Int. J. Comput. Sci. Eng. (IJCSE) 02(05):1893–1903 (2010)

    Google Scholar 

  4. Bhesdadiya, R.H., Patel, C.R., Patel, R.M.: Transmission line loadability improvement using FACTS devices. Int. J. Res. Eng. Technol. (IJRET). ISSN 2319-1163, ISSN: 2321-7308

    Google Scholar 

  5. Vanitha, R., Baskaran, J., Sudhakaran, M.: Application of de based WAFGP in multi objective optimal power flow using TCSC. Indian Streams Res. J. 4(5) (2014). ISSN 2230-7850

    Google Scholar 

  6. Manikandan, B.V., Charles Raja, S., Venkatesh, P.: Available transfer capability enhancement with facts devices in the deregulated electricity market. J. Electr. Eng. Technol. 6(1), 14–24 (2011)

    Article  Google Scholar 

  7. Bhattacharyya, B., Goswami, S.K., Gupta, V.K.: Particle swarm intelligence based allocation of FACTS controller for the increased load ability of power system. Int. J. Electr. Eng. Inform 4(4) (2012)

    Google Scholar 

  8. Saini, P., Sanjay K.J.: A particle swarm optimization for maximum loadability. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 2(6) (2013)

    Google Scholar 

  9. Subramani, C., Dash, S.S., Kumar, V., Kiran, H.: Implementation of line stability index for contingency analysis and screening in power systems. India J. Comput. Sci. 8(4), 585–590 (2012). ISSN 1549-3636

    Google Scholar 

  10. Fonteneau-Belmudes, F.: Identification of dangerous contingencies for large scale power system security assessment. Ph.D. dissertation, Department of Electrical Engineering and Computer Science, University of Liege, Belgium (2011)

    Google Scholar 

  11. Nagalakshmi, S., Kamaraj, N.: Secured loadability enhancement with TCSC in transmission system using computational intelligence techniques for pool and hybrid model. Appl. Soft Comput. 11, 4748–4756 (2011)

    Article  Google Scholar 

  12. Nagalakshmi, S., Kamaraj, N.: Comparison of computational intelligence algorithms for loadability enhancement of restructured power system with FACTS devices. Swarm Evol. Comput. 5, 17–27 (2012)

    Google Scholar 

  13. Zimmerman, R.D., Murillo-Sánchez, C.E., Thomas, R.J.: MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education. IEEE Trans. Power Syst. 26(1), 12–19 (2011)

    Article  Google Scholar 

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Authors and Affiliations

  1. PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India

    P. Malathy & P. Thaineesh

  2. Velammal College of Engineering and Technology, Madurai, Tamil Nadu, India

    A. Shunmugalatha

Authors
  1. P. Malathy
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  2. A. Shunmugalatha
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  3. P. Thaineesh
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Corresponding author

Correspondence to P. Malathy .

Editor information

Editors and Affiliations

  1. Electronics & Communication Engineering, NIT, Durgapur, Durgapur, West Bengal, India

    Durbadal Mandal

  2. Electronics & Communication Engineering, NIT, Durgapur, Durgapur, West Bengal, India

    Rajib Kar

  3. Machine Intelligence Unit, ISI, Kolkata, West Bengal, India

    Swagatam Das

  4. Electrical Engineering, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

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Malathy, P., Shunmugalatha, A., Thaineesh, P. (2015). Enhancement of Transmission System Loadability During Contingency by Optimal Allocation of FACTS Devices Using Particle Swarm Optimization. In: Mandal, D., Kar, R., Das, S., Panigrahi, B. (eds) Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 343. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2268-2_40

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  • DOI: https://doi.org/10.1007/978-81-322-2268-2_40

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2267-5

  • Online ISBN: 978-81-322-2268-2

  • eBook Packages: EngineeringEngineering (R0)

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