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Electrical Engineering
Erschienen in: Electrical Engineering 3/2018

04.09.2017 | Original Paper

Stability enhancement of PSS-UPFC installed power system by support vector regression

verfasst von: Mohammad Shoaib Shahriar, Md Shafiullah, Md Juel Rana

Erschienen in: Electrical Engineering | Ausgabe 3/2018

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Abstract

Ensuring the transient stability of the power system networks is one of the prime challenges in the highly interconnected power systems. Though the low-frequency oscillations are not very harmful initially, failure to damping out may lead the system to go out of synchronism. The employment of flexible AC transmission systems (FACTS) devices may suppress these oscillations effectively in addition to the enhancement of power transfer capability. Among many FACTS devices, unified power flow controller (UPFC) is one of the most sophisticated ones. Tuning the parameters of power system stabilizer (PSS) coordinated with UPFC for a stable system is a multi-objective optimization problem. This paper aims to optimize the parameters of power system stabilizer (PSS) of power network incorporating UPFC using support vector regression (SVR) in real time to damp out the small signal oscillations hence to enhance the transient stability. System eigenvalues obtained from SVR tuned UPFC coordinated PSS and the fixed gain conventional PSS are compared to investigate the efficacy of the proposed technique for different loading conditions. Besides, time domain simulation comparison proves the superiority of the proposed technique over the conventional one. Furthermore, the statistical performance measures for training and testing datasets provide confidence on the developed SVR model.
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Literatur
1.
Kundur P, Balu NJ, Lauby MG (1994) Power system stability and control. McGraw-Hill, New York
2.
Sambariya DK, Prasad R (2013) Design of PSS for SMIB system using robust fast output sampling feedback technique. In: 7th International conference on intelligent systems and control (ISCO). IEEE, pp 166–171
3.
Larsen E, Swann D (1981) Applying power system stabilizers part I: general concepts. IEEE Trans Power Appar Syst PAS–100(6):3017–3024CrossRef
4.
Abido MA, Al-Awami AT, Abdel-Magid YL (2006) Imultaneous design of damping controllers and internal controllers of a unified power flow controller. In: IEEE power engineering society general meeting. IEEE, p 8
5.
Shareef H, Mohamed A, Eslami M (2010) Application of PSS and FACTS devices for intensification of power system stability. Int Rev Electr Eng 5(2):552–570
6.
Alam MS, Razzak MA, Shafiullah M, Chowdhury AH (2012) Application of TCSC and SVC in damping oscillations in Bangladesh Power System. In: 7th International conference on electrical and computer engineering. IEEE, pp 571–574
7.
Alam MS, Shafiullah M, Hossain MI, Hasan MN (2015) Enhancement of power system damping employing TCSC with genetic algorithm based controller design. In: International conference on electrical engineering and information communication tech. (ICEEICT). IEEE, pp 1–5
8.
Siddiqui AS, Khan MT, Iqbal F (2015) Determination of optimal location of TCSC and STATCOM for congestion management in deregulated power system. Int J Syst Assur Eng Manag 8(1):110–117
9.
Mukherjee A, Mukherjee V (2016) Solution of optimal power flow with FACTS devices using a novel oppositional krill herd algorithm. Int J Electr Power Energy Syst 78:700–714CrossRef
10.
Inkollu SR, Kota VR (2016) Optimal setting of FACTS devices for voltage stability improvement using PSO adaptive GSA hybrid algorithm. Eng Sci Technol Int J 19:1166–1176CrossRef
11.
Castoldi MF, Sanches DS, Mansour MR, Bretas NG, Ramos RA (2014) A hybrid algorithm to tune power oscillation dampers for FACTS devices in power systems. Control Eng Pract 24:25–32CrossRef
12.
Khan MT, Siddiqui AS (2016) FACTS device control strategy using PMU. Perspect Sci 8:730–732CrossRef
13.
Wartana IM, Agustini NP (2011) Optimal placement of UPFC for maximizing system loadability and minimizing active power losses in system stability margins by NSGA-II. In: Proceedings of the 2011 international conference on electrical engineering and informatics. IEEE, pp 1–6
14.
Shafiullah M, Alam MS, Hossain MI, Hasan MN (2014) Transient performance improvement of power system by optimal design of SVC controller employing genetic algorithm. In: 8th International conference on electrical and computer engineering. IEEE, pp 540–543
15.
Shahriar MS, Shafiullah M, Asif MA, Hasan MM, Ishaque A (2016) Comparison of invasive weed optimization (IWO) and particle swarm optimization (PSO) in improving power system stability by UPFC controller employing a multi-objective approach. In: 1st International conference on advanced information and communication technology 2016 (ICAICT 2016). Chittagong Independent University, Bangladesh, Chittagong, Bangladesh, pp 1–7
16.
Shahriar MS, Shafiullah M, Asif MA, Hasan MM, Rafiuzzaman M (2015) Design of multi-objective UPFC employing backtracking search algorithm for enhancement of power system stability. In: 18th International conference on computer and information technology (ICCIT). IEEE, pp 323–328
17.
Hassan LH, Moghavvemi M, Almurib HAF, Muttaqi KM (2013) A coordinated design of PSSs and UPFC-based stabilizer using Genetic Algorithm. In: IEEE industry applications society annual meeting. IEEE, pp 1–9
18.
Vanitila R, Sudhakaran M (2012) Differential Evolution algorithm based weighted additive FGA approach for optimal power flow using muti-type FACTS devices. In: International conference on emerging trends in electrical engineering and energy management (ICETEEEM). IEEE, pp 198–204
19.
Hamid Z, Musirin I, Othman MM, Khalil MR (2010) Optimum tuning of unified power flow controller via ant colony optimization technique. In: 4th International power engineering and optimization conference (PEOCO). IEEE, pp 170–177
20.
Al-Awami AT, Abdel-Magid YL, Abido MA (2007) A particle-swarm-based approach of power system stability enhancement with unified power flow controller. Int J Electr Power Energy Syst 29(3):251–259CrossRef
21.
Vapnik VN (1999) An overview of statistical learning theory. IEEE Trans Neural Netw 10(5):988–999CrossRef
22.
Li DH, Cao YJ (2005) SOFM based support vector regression model for prediction and its application in power system transient stability forecasting. In: 2005 International power engineering conference, vol. 2. pp 765–770
23.
Shafiullah M, Ijaz M, Abido MA, Al-Hamouz Z (2017) Optimized support vector machine & wavelet transform for distribution grid fault location. In: 11th IEEE international conference on compatibility, power electronics and power engineering (CPE-POWERENG). IEEE, pp 77–82
24.
Abdul Wahab MDNI, Mohamed A (2006) Transient stability assessment of a large actual power system using least squares support vector machine with enhanced feature selection. In: Australasian Universities Power Engineering Conference (AUPEC), pp 1–6
25.
Zhang W, Hu W, Min Y, Chen L, Zheng L, Liu X (2015) A novel stability classifier based on reformed support vector machines for online stability assessment. In: IEEE PES Asia-Pacific power and energy engineering conference (APPEEC) 2015. pp 1–5
26.
Shayeghi H, Shayanfar H, Jalilzadeh S (2009) Simultaneous coordinated designing of UPFC and PSS output feedback controllers using PSO. J Electr 60:177–184
27.
Ahmed MA, Shahriar MdS, Ullah MS (2012) Design and analysis of a model predictive unified power flow controller (MPUPFC) for power system stability assessment. Int J Electr Comput Sci 2(4):32–37
28.
Shoaib Shahriar MS (2012) Model predictive unified power flow controller (MPUPFC): performance analysis of an MPUPFC for power system stability assessment. LAP LAMBERT Academic Publishing, Germany
29.
Shayeghi H, Shayanfar H, Jalilzadeh S (2009) Simultaneous coordinated designing of UPFC and PSS output feedback controllers using PSO. J Electr Eng 60(4):177–184
30.
Ajami A, Armaghan M (2010) Application of multi-objective PSO algorithm for power system stability enhancement by means of SSSC. Int J Comput Electr Eng 2(5):838–845CrossRef
31.
Shafiullah M, Abido MA, Coelho LS (2015) Design of robust PSS in multimachine power systems using backtracking search algorithm. In: 18th Proceedings of the Conference on international conference on intelligent system application to power systems (ISAP), pp 1–6
32.
Shafiullah M, Rana MJ, Alam MS, Uddin MA (2016) Optimal placement of phasor measurement units for transmission grid observability. In: International conference on innovations in science, engineering and technology (ICISET). IEEE, Chittagong, Bangladesh, pp 1–4
33.
Civicioglu P (2013) Backtracking search optimization algorithm for numerical optimization problems. Appl Math Comput 219(15):8121–8144MathSciNetMATH
34.
Shafiullah M, Rana MJ, Coelho LS, Abido MA, Al-Subhi A (2017) Designing lead-lag PSS employing backtracking search algorithm to improve power system damping. In: The 9th IEEE GCC conference & exhibition, Manama, Bahrain, pp 1–6
35.
Razzak SA, Hossain MI, Rahman SM, Hossain MM (2014) Application of support vector machine modeling on phase distribution in the riser of an LSCFB reactor. Int J Chem React Eng 12:123–134
36.
Ramli MAM, Twaha S, Al-Turki YA (2015) Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study. Energy Convers Manag 105:442–452CrossRef
37.
Zhao X, Wang P, Li B (2012) Soft sensor modeling for the efficiency of steam turbine last stage group using support vector machine regression. In: 2012 Second International Conference on Intelligent System Design and Engineering Application (ISDEA), IEEE, pp 1113–1116
Metadaten
Titel
Stability enhancement of PSS-UPFC installed power system by support vector regression
verfasst von
Mohammad Shoaib Shahriar
Md Shafiullah
Md Juel Rana
Publikationsdatum
04.09.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 3/2018
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-017-0638-8

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