WIDE-AREA BASED ON COORDINATED TUNING OF FUZZY PSS AND FACTS CONTROLLER IN MULTI-MACHINE ENVIRONMENT
1
Department of Basic Sciences, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran
2
Department of Electrical Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Publication date: 2016-03-01
Adv. Sci. Technol. Res. J. 2016; 10(29):85-96
KEYWORDS
ABSTRACT
In this paper coordination of fuzzy power system stabilizer (FPSS) and flexible ac transmission systems (FACTS) have been considered in a multi-machine power system. The proposed model, has been applied for a wide-area power system. The proposed FPSS presented with local, nonlinear feedbacks, and the corresponding control synthesis conditions are given in terms of solutions to a set of linear matrix inequalities (LMIs). For this model, in fuzzy control synthesis, the new proposed control design method is based on fewer fuzzy rules and less computational burden. Also, the parameters of FACTS controller have been evaluated by improved honey bee mating optimization (IHBMO). The effectiveness of the proposed method has been applied over two case studies of single-machine infinite-bus (SMIB) and two areas four machine (TAFM) Kundur’s power system. The obtained results demonstrate the superiority of proposed strategy.
REFERENCES (28)
1.
Kamwa I., R. Grondin and Y. Hebert, Wide-area measurement based stabilizing control of large power systems – a decentralized/hierarchical approach. IEEE Trans. Power Syst., 16(1), 2001, 136–153.
2.
Dotta D., A.S.E. Silva and I.C. Decker, Wide-area measurementbased two-level control design considering signals transmission delay,” IEEE Trans. Power Syst., vol. 24, no. 1, pp. 208–216, Feb. 2009.
3.
Majumder R., B.C. Pal, C. Dufour and P. Korba, Design and realtime implementation of robust FACTS controller for damping interarea oscillation. IEEE Trans. Power Syst., 21(2), 2006. 809–816.
4.
Chaudhuri N.R., S. Ray, R. Majumder and B. Chaudhuri. A new approach to continuous latency compensation with adaptive phasor power oscillation damping controller (POD). IEEE Trans. Power Syst., 25(2), 2010, 939–946.
5.
Farsangi M.M., Y.H. Song and K.Y. Lee, Choice of FACTS device control inputs for damping inter-area oscillations. IEEE Trans. Power Syst., 19(2), 2004, 1135–1143.
6.
Farsangi M.M., H. Nezamabadipour, Y.H. Song and K.Y. Lee, Placement of SVCs and selection of stabilizing signals in power systems. IEEE Trans. Power Syst., 22(3), 2007, 1061–1071.
7.
Mao X.M., Y. Zhang, L. Guan and X.C.Wu, Coordinated control of inter-area oscillation in the China Southern power grid. IEEE Trans. Power Syst., 21(2), 2006. 845–852.
8.
Padhy B.P., S.C. Srivastava and Nishchal K. Verma, Robust Wide-Area TS Fuzzy Output Feedback Controller for Enhancement of Stability in Multimachine Power System, IEEE Systems Journal, 6(3), 2012, 426–435.
9.
Tanaka K. and H.O. Wang, Fuzzy control systems design and analysis: A linear matrix inequality approach. Wiley, New York 2001.
10.
Feng G., A survey on analysis and design of model-based fuzzy control systems. IEEE Trans. Fuzzy Syst., 14(5), 2006, 676–697.
11.
Delmotte F., T.M. Guerra, and M. Ksantini, Continuous Takagi–Sugeno’s models: Reduction of the number of LMI conditions in various fuzzy control design technics. IEEE Trans. Fuzzy Syst., 15(3), 2007, 426–438.
12.
Teixeira M.C.M. and S.H. Zak, Stabilizing controller design for uncertain nonlinear systems using fuzzy models. IEEE Trans. Fuzzy Syst., 7(2), 1999, 133–142.
13.
Singh B., N.K. Sharma, A.N. Tiwari, K.S. Verma and S.N. Singh, Applications of phasor measurement units (PMUs) in electric power system networks incorporated with FACTS controllers. International Journal of Engineering, Science and Technology, 3(3), 2011, 64–82.
14.
Chompoobutrgool Y., L. Vanfretti and M. Ghandhari, Survey on power system stabilizers control and their prospective applications for power system damping using synchrophasor-based wide-area systems. European Transactions on Electrical Power, 21(8), 2011, 2098–2111.
16.
Yoneyama J., M. Nishikawa, H. Katayama and A. Ichikawa, Design of output feedback controllers for Takagi-Sugeno fuzzy systems. Fuzzy Sets Systems, 121(1), 2001, 127–148.
17.
Zhang Y. and A. Bose, Design of wide-area damping controllers for interarea oscillations. IEEE Trans. Power Syst., 23(3), 1136–1144.
18.
Dong J., Y. Wang and G.-Hong Yang, Control Synthesis of Continuous-Time T-S Fuzzy Systems With Local Nonlinear Models. IEEE Transactions on Systems, Man, and Cybernetics – Part b: Cybernetics, 39(5), 2009, 1245–1258.
19.
Zhao Q. and J. Jiang, Robust SVC controller design for improving power system damping. IEEE Trans. Power Syst., 10(4), 1995, 1927–1932.
20.
Ray S. and G.K. Venayagamoorthy, Wide-area signal-based optimalneurocontroller for a UPFC.IEEE Trans. Power Del., 23(3), 2008, 1597–1605.
21.
Abedinia O., M. Hajinasiri, M. Bekravi, A new stochastic search algorithm bundled honey bee mating for solving optimization problems. Neural Computing and Application, 25(7-8), 2014, 1921–1939.
22.
Abedinia O., K. Kiani, A. Akbari, N. Amjady, H.A. Shayanfar, Improve honey bee mating optimization based on optimal congestion management in an electricity market. 8th International Conference on “Technical and Physical Problems of Power Engineering”, Norway 2012, 108–113.
23.
Abedinia O., Mohammad. S. Naderi, A. Ghasemi, Robust LFC in Deregulated Environment: Fuzzy PID using HBMO. Proc. of the IEEE International Power & Energy Society Power Systems Conference and Exposition, Italy, Rome 2011, 74–77.
24.
Bekravi M., O. Abedinia, A new multi-objective meta heuristic algorithm based on environmental/economic load dispatch with wind effect. Technical and Physical Problems of Engineering, 5(2), 15, 2013, 81–89.
25.
Dai X.-D., D. He, L.-L. Fan, N.-H. Li and H. Chen, Improved ANN alpha;th-order inverse TCSC controller for enhancing power system transient stability. Proc. IET Gen. Transm. Distrib., 146(6), 1999, 550–556.
26.
Abedinia O., M.S. Naderi, A. Jalili, B. Khamenepour, Optimal Tuning of multi-machine power system stabilizer parameters using genetic-algorithm.Proceedings of International Conference on Power System Technology, 24–28 October, 2010, 1–6.
27.
Kundur P., Power system stability and control. 2nd ed. McGraw-Hill, New York, USA 2008.
28.
Abedinia O., N. Amjady, H.R. Izadfar, H.A. Shayanfar, Multi-machine power system oscillation damping: Placement and tuning PSS VIA multi-objective HBMO. International Journal of Technical and Physical Problems of Engineering, 4(3), 12, 2012, 1–8.
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