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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Saranjeet K (2009) Evolutionary algorithm assisted optimal placement of FACTS controllers in power system. Master Thesis Thapar University, India, p11
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
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
Radam GG, Raje RS (2007) Power flow model/calculation for power systems with multiple FACTS controllers. Electric Power Syst Res 77(12):1521–1531
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
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
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
Geem ZW, Kim JH, Loganathan G (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):136–701
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
Rechenberg I (1965) Cybernetic solution path of an experimental problem. Royal Aircraft Establishment, brary Translation, p 1122
Holland J (1975) An introduction with application to biology, control and artificial intelligence adaptation in natural and artificial system. MIT Press
Holland JH (1975) Adaptation in natural and artificial systems. The University of Michigan Press, AnnArbor
Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671–680
Farmer JD, Packard NH, Perelson AS (1986) The immune system, adaptation, and machine learning. Physica D 22(1–3):187–204
Dorigo M, Maniezzo V (1992) Optimization, learning and natural algorithms. Ph.D. thesis Politecnico di Milano, Italy
Kennedy J, Eberhart R (1995) Particle swarm optimization. IEEE international conference on neural networks Perth, Australia, pp 1942–1948
Nakrani S, Tovey C (2004) On honey bees and dynamic server allocation in internet hosting centers. Adapt Behav 12(3–4):223
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Acha E, Fuerte-Esquivel CR, Ambriz-Perez H, Angeles-Camacho C (2004) FACTS modelling and simulation in power network. Wiley, New York
Zhang XP, Rehtanz C, Pal B (2006) Flexible AC transmission systems modelling and control. Springer, Berlin
Kundur P (1994) Power system stability and control. McGraw-Hill Inc
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
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
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
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
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
Power Systems Test Case Archive, Uni. of Washington, http://www.ee.washington.edu/research/pstca/
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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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