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2020 | OriginalPaper | Buchkapitel

Power System Security Analysis Using FACTS Devices by Means of Intelligent and Hybrid Techniques Under Different Loading Conditions

verfasst von : S. Venkata Padmavathi, A. Jayalaxmi, Sarat Kumar Sahu

Erschienen in: Innovations in Electrical and Electronics Engineering

Verlag: Springer Singapore

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Abstract

Power system security issue is a severe concern in restructured power market. In order to conserve the security of a system, flexible alternating current transmission system (FACTS) apparatus are one of the options. In this work, node voltage deviations and line apparent power flow factors are taken as the security indices and these are considered as objectives for security problems. The devices considered are thyristor-controlled series capacitors (TCSCs), static VAR compensators (SVCs), and unified power flow controllers (UPFCs). The main idea of this work is to compare distinct algorithms such as hybrid differential evolution (DEPSO) and fuzzy adaptive gravitational search algorithm (FAGSA) to attain the good location of the devices on IEEE 30 bus network with loading conditions.

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Nächstes Kapitel Implementation of Three-Phase Shunt Active Filter Using Instantaneous Real Power Calculation and Triangular Carrier Current Control

N.G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts & Technology of Flexible AC Transmission Systems (Wiley-IEEE Press, New York, 2000)

A. Berizzi, M. Delfanti, P. Marannino, M. Savino, M. Pasquadibisceglie, A. Silvestri, Enhanced security-constrained OPF with FACTS devices. IEEE Trans. Power Syst. 20(3), 1597–1605 (2005)CrossRef

R. Zarate-Minano, A.J. Conejo, F. Milano, OPF-based security redispatching including FACTS devices. IET Gener. Transm. Distrib. 2(6), F821–F833 (2008)CrossRef

N. Yorino, E. El-Araby, H. Sasaki, S. Harada, A new formulation for FACTS allocation for security enhancement against voltage collapse. IEEE Trans. Power Syst. 18(1), 3–10 (2003)CrossRef

S. Venkata Padmavathi, S.K. Sahu, A. Jayalaxmi, Modeling and simulation of static var compensator to enhance the power system security, in IEEE International Conference (Asia Pacific Conference), IEEE Proceedings, pp. 52–55 (2013)

H. Ambriz-perez, E. Acha, C.R. Fuerte-Esquivel, Advanced SVC models for Newton-Raphson load flow and Newton optimal power flow studies. IEEE Trans. Power Syst. 15(1), 129–136 (2000)CrossRef

S. Venkata Padmavathi, S.K. Sahu, A. Jayalaxmi, Power system security analysis using firing angle control model of FACTS devices. Int. J. Darshan Inst. Eng. Res. Emerg. Technol. 3(2), 37–42 (2014)

S. Venkata Padmavathi, S.K. Sahu, A. Jayalaxmi, Power system security improvement by using fuzzy adaptive gravitational search algorithm based FACTS devices under fault condition. International Springer Conference on Soft Computing in Data Analytics, Published in—Advances in Intelligent Systems and Computing (AISC), Springer Series (2018), pp. 95–106

H.R. Baghaee, B. Vahidi, S. Jazebi, G.B. Gharehpetian, A. Kashefi, Power system security improvement by using differential evolution algorithm based FACTS allocation. IEEE Power India Conference Proceedings, New Delhi, pp. 1–6 (2008)

10.

J. Kennedy. R. Eberhart, Particle swarm optimization, in Proceedings of IEEE International Conference on Neural networks (Perth, 1995), pp. 1942–1948

11.

E. Ghahremani, I. Kamwa, Optimal placement of multiple-type FACTS devices to maximize power system loadability using a generic graphical user interface. IEEE Trans. Power Syst. 28(2), 1–15 (2012)

12.

A.L. Ara, A. Kazemi, S.A.N. Niaki, Multiobjective optimal location of FACTS shunt-series controllers for power system operation planning. IEEE Trans. Power Syst. 27(2), 481–490 (2012)CrossRef

13.

S. Gerbex, R. Cherkaoui, A.J. Germond, Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms. IEEE Trans. Power Syst. 16(3), 537–544 (2001)CrossRef

14.

S. Venkata Padmavathi, S.K. Sahu, A. Jayalaxmi, Comparison of hybrid differential evolution algorithm with genetic algorithm based power system security analysis using FACTS. J. Electr. Syst. 11(2), 189–202 (2015)

15.

K. Gnanambal, N.S. Marimuthu, C.K. Babulal, A hybrid differential evolution to solve power flow problem in rectangular coordinate. J. Electr. Syst. 395–406 (2010)

16.

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

17.

E. Rashedi, H. Nezamabadi-Pour, S. Saryazdi, GSA: A gravitational search algorithm. Inf. Sci. 179(13), 2232–2248 (2009)CrossRef

18.

A. Bhattacharya, P.K. Roy, Solution of multi-objective optimal power flow using gravitational search algorithm. IET Gener. Transm. Distrib. 6(8), 751–763 (2012)CrossRef

19.

J. Vijay Kumar, D.M.V. Kumar, K. Edukondalu, Strategic bidding using fuzzy adaptive gravitational search algorithm in a pool based electricity market. Appl. Soft Comput. 13(5), 2445–2455 (2013)

20.

P. Preedavichit, S.C. Srivastava, Optimal reactive power dispatch considering FACTS devices. Electr. Power Syst. Res. 251–257 (1998)

21.

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

22.

S. Venkata Padmavathi, S.K. Sahu, A. Jayalaxmi, Adaptive fuzzy particle swarm optimization coordination of FACTS devices to enhance the power system security. J. Electr. Eng. 15(3), 1–12 (2015)

23.

S. Venkata Padmavathi, S.K. Sahu, A. Jayalaxmi, Particle swarm optimization based control setting of TCSC for improving reliability of composite power system. Int. J. Comput. Appl. 55(14), 36–39 (2012)

24.

S. Venkata Padmavathi, S.K. Sahu, A. Jayalaxmi, Application of gravitational search algorithm to improve power system security by optimal placement of FACTS devices. J. Electr. Syst. 11(3), 326–342 (2015)

25.

H. Saadat, Power System Analysis (WCB/McGraw-Hill, New Delhi, 1999)

Titel: Power System Security Analysis Using FACTS Devices by Means of Intelligent and Hybrid Techniques Under Different Loading Conditions
verfasst von: S. Venkata Padmavathi
A. Jayalaxmi
Sarat Kumar Sahu
Verlag: Springer Singapore
Buch: Innovations in Electrical and Electronics Engineering
Print ISBN: 978-981-15-2255-0

Electronic ISBN: 978-981-15-2256-7

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-981-15-2256-7_1