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Power System Security Improvement by Means of Fuzzy Adaptive Gravitational Search Algorithm-Based FACTS Devices Under Fault Condition

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Soft Computing in Data Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 758))

Abstract

In deregulated power market, the parameters of the power system are to be operated nearer to the rated values to meet up the load. To improve system security with existing power lines, the flexible AC transmission system (FACTS) devices are the best alternatives. In this work, the line power flow factor and bus voltage deviations are considered as power system security indices for the system security problem. The proposed algorithm to improve the security is fuzzy adaptive gravitational search algorithm (FAGSA), as gravitational search algorithm (GSA) is wearisome to resolve the best operating setting of FACTS due to the selection of gravitational constant (G). To alleviate this difficulty, FAGSA is selected to tune the G with the help of fuzzy rules. This method is validated on standard IEEE 14 bus system, and the effectiveness is also tested under three-phase symmetrical fault condition.

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References

  1. Ranganathan, S., Kalavathi, M.S., Christober Asir Rajan, C.: Self-adaptive firefly algorithm based multi-objectives for multi-type FACTS placement. IET Gener. Trans. Distrib. 10, 2576–2584 (2016)

    Google Scholar 

  2. Momoh, J.A., Zhu, J.Z., Boswell, G.D., Hoffman, S.: Power system security enhancement by OPF with phase shifter. IEEE Trans. Power Syst. 16, 287–293 (2001)

    Article  Google Scholar 

  3. Shakib, A.D., Balzer, G.: Optimal location and control of shunt FACTS for transmission of renewable energy in large power systems. In: IEEE Proceedings of Mediterranean Electro technical Conference, pp. 890–895 (2010)

    Google Scholar 

  4. Hingorani, N.G., Yugyi, L.G.: Understanding FACTS, 1st edn. IEEE Power Engineering Society, Standard Publishers Distributors, Delhi (2001)

    Google Scholar 

  5. Baghaee, H.R., Vahidi, B., Jazebi, S., Gharehpetian, G.B.: Power system security improvement by using differential evolution algorithm based FACTS allocation. In: Proceedings of International Conference on Power System Technology and IEEE Power India conference, pp. 1–6 (2008)

    Google Scholar 

  6. Ambriz-perez, H., Acha, E., Fuerte-Esquivel, C.R.: Advanced SVC models for Newton Raphson load flow and Newton optimal power flow studies. IEEE Trans. Power Syst. 26, 129–136 (2000)

    Article  Google Scholar 

  7. Anitha, C., Arul, P.: New modelling of SSSC and UPFC for power flow study and reduce power Losses. Int. J. Sci. Mod. Eng. 1, 7–11 (2013)

    Google Scholar 

  8. Gerbex, S., Cherkaoui, R., Germond, A.J.: Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms. IEEE Trans. Power Syst. 16, 537–544 (2001)

    Article  Google Scholar 

  9. Saravanan, M., Slochanal, S.M.R., Venkatesh, P., Prince Stephen Abraham, J.: Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Syst. Res. 77, 276–283 (2007)

    Google Scholar 

  10. Duman, S., Sonmez, Y., Guvenc, U., Yorukeren, N.: Optimal reactive power dispatch using a gravitational search algorithm. IET Gener. Trans. Distrib. 6, 563–576 (2012)

    Article  Google Scholar 

  11. Bhattacharya, A., Roy, P.K.: Solution of multi-objective optimal power flow using gravitational search algorithm. IET Gener. Trans. Distrib. 6, 751–763 (2012)

    Article  Google Scholar 

  12. Yorino, N., El-Araby, E.E., Sasaki, H., Harada, S.: A new formulation for FACTS allocation for security enhancement against voltage collapse. IEEE Trans. Power Syst. 18, 3–10 (2003)

    Google Scholar 

  13. Su, C.-T., Lin, C.-T.: Fuzzy-based voltage/reactive power scheduling for voltage security improvement and loss reduction. IEEE Trans. Power Deliv. 16, 319–323 (2001)

    Google Scholar 

  14. Vijaya Kumar, J., Vinod Kumar, D.M., Edukondalu, K.: Strategic bidding using fuzzy adaptive gravitational search algorithm in a pool based electricity market. Appl. Soft Comput. 13, 2445–2455 (2013)

    Google Scholar 

  15. Za´rate-Minano, R., Conejo, A.J., Milano, F.: OPF-based security redispatching including FACTS devices. IET Gener. Trans. Distrib. 2, 821–833 (2008)

    Google Scholar 

  16. Berizzi, A., Delfanti, M., Marannino, P., Pasquadibisceglie, M.S., Silvestri, A.: Enhanced security-constrained OPF with FACTS devices. IEEE Trans. Power Syst. 20, 1597–1605 (2005)

    Google Scholar 

  17. Wibowo, R.S., Yorino, N., Eghbal, M., Zoka, Y., Sasaki, Y.: FACTS devices allocation with control coordination considering congestion relief and voltage stability. IEEE Trans. Power Syst. 26, 2302–2310 (2011)

    Google Scholar 

  18. Lehmköster, C.: Security constrained optimal power flow for an economical operation of FACTS-devices in liberalized energy markets. IEEE Trans. Power Deliv. 17, 603–608 (2002)

    Google Scholar 

  19. Kumar, S.K.N., Renuga, P.: Optimal VAR planning using FACTS. Int. J. Power Energy Syst. 32 (2012)

    Google Scholar 

  20. Seetharamayya, K., Venkateswararao, M.V.: Evaluation of fault voltage and current in a symmetric power network. Int. J. Innov. Res. Electr. Electron. Instrum. Control Eng. 3, 26–35 (2015)

    Google Scholar 

  21. Acha, E., Fuerte-Esquivel, C.R., Ambriz-perez, H., Angeles-Camacho, C.: FACTS modelling and simulation in power networks, pp. 1–403. Wiley (2004)

    Google Scholar 

  22. Venkata Padmavathi, S., Sahu, S.K., Jayalaxmi, A.: Hybrid differential evolution algorithm based power system security analysis using FACTS. J. Electr. Eng. (JEE), 15, 1–10 (2015)

    Google Scholar 

  23. Venkata Padmavathi, S., Sahu, S.K., Jayalaxmi, A.: Application of gravitational search algorithm to improve power system security by optimal placement of FACTS devices. J. Electr. Syst. 11, 326–342 (2015)

    Google Scholar 

  24. Saada, H.: Power System Analysis, edition 2002. WCB/McGraw-Hill (1999) 1-690

    Google Scholar 

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Author information

Authors and Affiliations

  1. EEE Department, GITAM (Deemed to be University), Hyderabad campus, Hyderabad, TS, India

    S. Venkata Padmavathi

  2. EEE Department, M.V.G.R Engineering College, Vizianagaram, AP, India

    Sarat Kumar Sahu

  3. EEE Department, JNT University, Kukatpally, Hyderabad, TS, India

    A. Jayalaxmi

Authors
  1. S. Venkata Padmavathi
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  2. Sarat Kumar Sahu
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  3. A. Jayalaxmi
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Corresponding author

Correspondence to S. Venkata Padmavathi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  2. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Washington, USA

    Ajith Abraham

  3. Department of Mechanical Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    B. Murali Krishna

  4. Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    G. T. Chandra Sekhar

  5. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, West Bengal, India

    Asit Kumar Das

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Padmavathi, S.V., Sahu, S.K., Jayalaxmi, A. (2019). Power System Security Improvement by Means of Fuzzy Adaptive Gravitational Search Algorithm-Based FACTS Devices Under Fault Condition. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_10

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