Dynamic Stability Improvement of Multimachine Power Systems using ANFIS-based Power System Stabilizer

Agung Budi Muljono, I Made Ginarsa, I Made Ari Nrartha

Abstract


Modern power system are very vurnerable to against load fluctuation during their operation. Load fluctuation identified as small disturbance is important to test dynamic (small signal) stability. This research is focused on improvement of multimachine dynamic stability by using ANFIS-based power system stabilizer (proposed PSS). ANFIS method is proposed because the ANFIS computation is more efective than Mamdani fuzzy computation. Simulation results show that the proposed PSS is able to maintain the dynamic stability by decreasing peak overshoot (Po) to the value -3,37´10-5 pu/pu and accelerating settling time (St) to the time 4.01 s for rotor speed deviation Machine-2. Also, the Po is decreased to the value -3,37´10-5 pu/pu and the St is accelerated to the time 3.98 s for rotor speed deviation Machine-3.

Keywords


Stability improvement, dynamic, multimachine, PSS, ANFIS.

Full Text:

PDF

References


Zhang, KF. & Dai, XZ. (2012): Structural Analysis of Large-scale Power Systems, Mathematica Problem in Eng., Hindawi Pub.

Bollinger, KE., Winsor, R. & Campbell, A.(1979): Frequency Methods for Tuning Power Systems Stabilizers to Damp Out Tie_Line Power Oscilations: Theory and Field-test Results, IEEE Trans. on Power App. and Syst., PAS-98, No. 5.

Hsu, YY. & Su, CC. (1988): Application of Power System Stabilizer on a System with Pumped Storage Plant, IEEE Trans. on Power Syst., Vol. 3 No. 1.

Saidy, M. & Hughes, FM. (1995): Performance Improvement of a Conventional Power System Stabilizer, Elect. Power & Energy Syst., Vol. 17 No. 5.

De Mello, FP. (1980): Coordinated application of stabilizer in multimachine power systems, IEEE Trans. on Power App. and Syst., PAS-99, No. 3.

Moulin, LS., da Silva, APA., El-Sharkawi, MA. & Marks II, RJ. (2004): Support Vector Machines for Transient Stability Analysis of Large-scale Power Systems, IEEE Trans. on Power Syst., Vol. 19, No. 2.

Ginarsa IM, Muljono AB, Nrartha IMA, Controlling chaos and Voltage Collapse using layered recurrent network-based PID-SVC in Power Systems, Telkomnika, 2013, Vol. 11 (3): 00-00.