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Optimal Placement and Sizing of STATCOM in Power Systems Using Heuristic Optimization Techniques

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Static Compensators (STATCOMs) in Power Systems

Part of the book series: Power Systems ((POWSYS))

Abstract

The benefits of reactive power compensation depend greatly on the placement and size of the compensators. STATCOM is a shunt compensator and one of the important members of the Flexible AC Transmission Systems (FACTS) family that are increasingly being used in long transmission lines in modern power systems. The FACTS devices placement problem is commonly solved using heuristic optimization techniques which are diverse and have been the subject of ongoing enhancements. This chapter, in the first stage, presents a survey of the literature from the last decade that has focused on the various heuristic optimization techniques applied to determine optimal placement and sizing of the STATCOM. In the second stage, the application of the global harmony search (GHS) algorithm as a new meta-heuristic optimization method for determining the optimal location and size of STATCOM in a transmission network is presented. The algorithm is easy to be implemented and capable of finding multiple optimal solutions to the constrained multi-objective problem, providing more flexibility in making decisions about the location of STATCOM. Power system loss reduction, bus voltage profile improvement, voltage stability enhancement and device size are employed as measures of power system performance in the optimization algorithm. The proposed multi-objective GHS algorithm is validated on 57 and 118-bus transmission networks.

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References

  1. Saranjeet K (2009) Evolutionary algorithm assisted optimal placement of FACTS controllers in power system. Master Thesis Thapar University, India, p11

    Google Scholar 

  2. Gyugyi ML, Shauder CD, SenKK (1997) Static synchronous series compensator a solid state approach to the series compensation of transmission line. IEEE Trans Power Deliv 12(3):406–417

    Google Scholar 

  3. Hassan MO, Cheng SJ, Zakaria ZA (2009) Steady-state modelling of static synchronous compensator and thyristor controlled series compensator for power flow analysis. Inf Technol J 8(3):347–353

    Article  Google Scholar 

  4. Radam GG, Raje RS (2007) Power flow model/calculation for power systems with multiple FACTS controllers. Electric Power Syst Res 77(12):1521–1531

    Article  Google Scholar 

  5. Azadani EN, Hosseinian SH, Janati M, Hasanpor P (2008) Optimal Placement of Multiple STATCOM. In: 12th International Middle-East power system conference, pp 523–528

    Google Scholar 

  6. Shaygan M, Seifossadat SGH, Razaz M (2011) Study the effects of STATCOM on the static voltage stability improvement and reduction of active and reactive losses. Int Rev Electr Eng 6(4):1862–1869

    Google Scholar 

  7. Natesan R, Radman G (2004) Effects of STATCOM, SSSC and UPFC on voltage stability. In: Proceedings of the 36th Southeastern symposium on system theory, pp 546–550

    Google Scholar 

  8. Geem ZW, Kim JH, Loganathan G (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):136–701

    Google Scholar 

  9. Khajehzadeh M, Taha MR, El-Shafie A, Eslami M (2011) A survey on meta-heuristic global optimization algorithms. Res J Appl Sci, Eng Technol 3(6):569–578

    Google Scholar 

  10. Rechenberg I (1965) Cybernetic solution path of an experimental problem. Royal Aircraft Establishment, brary Translation, p 1122

    Google Scholar 

  11. Holland J (1975) An introduction with application to biology, control and artificial intelligence adaptation in natural and artificial system. MIT Press

    Google Scholar 

  12. Holland JH (1975) Adaptation in natural and artificial systems. The University of Michigan Press, AnnArbor

    Google Scholar 

  13. Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671–680

    Article  MATH  MathSciNet  Google Scholar 

  14. Farmer JD, Packard NH, Perelson AS (1986) The immune system, adaptation, and machine learning. Physica D 22(1–3):187–204

    Article  MathSciNet  Google Scholar 

  15. Dorigo M, Maniezzo V (1992) Optimization, learning and natural algorithms. Ph.D. thesis Politecnico di Milano, Italy

    Google Scholar 

  16. Kennedy J, Eberhart R (1995) Particle swarm optimization. IEEE international conference on neural networks Perth, Australia, pp 1942–1948

    Google Scholar 

  17. Nakrani S, Tovey C (2004) On honey bees and dynamic server allocation in internet hosting centers. Adapt Behav 12(3–4):223

    Article  Google Scholar 

  18. Mendes JC, Saavedra OR, Pessanha JO (2002) Power system restoration restoration with priority loads using an evolutionary strategy. In: Proceedings of 34th North American power symposium, Arizona, pp 254–260

    Google Scholar 

  19. Santiago M, Maldonado R (2006) Optimal placement of FACTS controllers in power systems via evolutionary strategies. In: Proceedings of IEEE international conference on transmission and distribution evolutionary computation, pp 1–6

    Google Scholar 

  20. Dominguez-Navarro JA, Bernal-Agustin JL, Diaz A, Requena D, Vargas EP (2007) Optimal parameters of FACTS devices in electric power systems applying evolutionary strategies. Electri Power Energy Syst 29:83–90

    Article  Google Scholar 

  21. Zhang Y, Milanovic JV (2007) Voltage sag cost reduction with optimally placed FACTS devices. In: 9th international conference on Electrical power, quality and utilisation, pp 1–6

    Google Scholar 

  22. Baghaee HR, Jannati M, Vahidi B, Hosseinian SH, Rastegar H (2008) Improvement of voltage stability and reduce power system losses by optimal GA-based allocation of multi-type FACTS devices. In: 11th international conference on optimization of Electrical and Electronic equipment, pp 209–214

    Google Scholar 

  23. Sundareswaran K, Bharathram P, Siddharth M, Vaishnavi G, Shrivastava NA, Sarma H (2009) Voltage profile enhancement through optimal placement of FACTS devices using queen-bee-assisted GA. In: Third international conference on power systems, pp 1–5

    Google Scholar 

  24. Bina TM, Siahbidi JR, Kanzi K (2005) Application of averaging technique to the power system optimum placement and sizing of static compensators. In: The 7th international power engineering conference, pp 1–6

    Google Scholar 

  25. Samimi A, Golkar MA (2011) A novel method for optimal placement of STATCOM in distribution networks using sensitivity analysis by DIgSILENT software. Asia-Pacific power and energy Engineering conference, pp 1–5

    Google Scholar 

  26. Del-Valle Y, Hernandez JC, Venayagamoorthy GK, Harley RG (2006) Optimal STATCOM sizing and placement using particle swarm optimization. In: Proceedings of the IEEE transmission and distribution conference and exposition Latin America, pp 1–6

    Google Scholar 

  27. Hernandez JC, Del-Valle Y, Venayagamoorthy GK, Harley RG (2006) Optimal allocation of a STATCOM in a 45 bus section of the Brazilian power system using particle swarm optimization. In: Proceedings of the IEEE swarm intelligence symposium, pp 69–75

    Google Scholar 

  28. Panda S, Padhy NP (2008) Optimal location and controller design of STATCOM for power system stability improvement using PSO. J Franklin Inst 345:166–181

    Article  MATH  Google Scholar 

  29. Del-Valle Y, Venayagamoorthy GK, Harley RG (2009) Comparison of enhanced-PSO and classical optimization methods: a case study for STATCOM placement. In: Proceedings of the IEEE 15th international conference on intelligent system applications to power systems, pp 1–7

    Google Scholar 

  30. Varshney S, Srivastava L, Pandit M (2011) Comparison of PSO models for optimal placement and sizing of STATCOM. In: 2nd international conference on sustainable energy and intelligent system, pp 346–351

    Google Scholar 

  31. Lee K, Geem Z (2005) A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Comput Methods Appl Mech Eng 194(2005):3902–3933

    Article  MATH  Google Scholar 

  32. Sirjani R, Mohamed A, Shareef H (2012) Optimal placement and sizing of static synchronous compensators in power systems using improved harmony search algorithm. Int Rev Electr Eng 7(2):4183

    Google Scholar 

  33. Majumdar S, Chakraborty AK, Chattopadhyay PK (2009) Active power loss minimization with FACTS devices using SA/PSO techniques. In: 3rd international conference on power systems, pp 1–5

    Google Scholar 

  34. Acha E, Fuerte-Esquivel CR, Ambriz-Perez H, Angeles-Camacho C (2004) FACTS modelling and simulation in power network. Wiley, New York

    Google Scholar 

  35. Zhang XP, Rehtanz C, Pal B (2006) Flexible AC transmission systems modelling and control. Springer, Berlin

    Google Scholar 

  36. Kundur P (1994) Power system stability and control. McGraw-Hill Inc

    Google Scholar 

  37. Sharma C, Ganness MG (2007) Determination of power system voltage stability using modal analysis. IEEE Int Conf Power Eng, Energy Electri Drives, POWERENG 2007:381–387

    Google Scholar 

  38. Pisica I, Bulac C, Toma L, Eremia M (2009) Optimal SVC placement in electric power systems using a genetic algorithms based method. In: IEEE Bucharest power tech conference, pp 1–6

    Google Scholar 

  39. Kazemi A, Parizad A, Baghaee H (2009) On the use of harmony ‎search algorithm in optimal placement of FACTS devices to improve ‎power system security. In: Proceedings of the IEEE EUROCON, pp 570–576

    Google Scholar 

  40. Zou D, Gao L, Li S, Wu J, Wang X (2010) A novel global harmony search algorithm for task assignment problem. J Syst Softw 83(10):1678–1688

    Google Scholar 

  41. Zou D, Gao L, Wu J, Li S, Li Y (2010) A novel global harmony search algorithm for reliability problems. Comput Ind Eng 58(2):307–316

    Article  Google Scholar 

  42. Power Systems Test Case Archive, Uni. of Washington, http://www.ee.washington.edu/research/pstca/

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Correspondence to Reza Sirjani .

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Appendices

Appendix 1

Tables 13.6–13.8

Table 13.6 Bus data of IEEE 57-bus test system
Table 13.7 Generator data of IEEE 57-bus test system
Table 13.8 Branch data of IEEE 57-bus test system

Appendix 2

Tables 13.9–13.11, Fig. 13.8

Fig. 13.8
figure 8

Network diagram for the IEEE 118-bus test system

Table 13.9 Bus data of IEEE 118-bus test system
Table 13.10 Generator data of IEEE 118-bus test system
Table 13.11 Branch data of IEEE 118-bus test system

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Sirjani, R. (2015). Optimal Placement and Sizing of STATCOM in Power Systems Using Heuristic Optimization Techniques. In: Shahnia, F., Rajakaruna, S., Ghosh, A. (eds) Static Compensators (STATCOMs) in Power Systems. Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-287-281-4_13

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  • DOI: https://doi.org/10.1007/978-981-287-281-4_13

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  • Print ISBN: 978-981-287-280-7

  • Online ISBN: 978-981-287-281-4

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