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Studi Kestabilan Generator Sistem Sulselrabar Muhammad Ruswandi Djalal; Faisal Faisal
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 3 No 1 (2019): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeee-u.v3i1.2067

Abstract

In the standard operating system, the input parameters such as changes in the mechanical torque of the turbine and changes in the field voltage of the amplifier from the exciter need to be considered. Some studies that can be done include the study of the dynamic stability of synchronous generators when dealing with small changes that occur using the eigenvalue approach which is the roots of the characteristic equations of the system state space equation. The eigenvalue can show information on system stability and is related to the response of time to changes in the system. The system used is in the Sulselrabar electrical system. From the simulation results show the characteristics of the system in terms of the frequency response and angle of the generator rotor. For the eigenvalue system value in the inter-area oscillation mode is -0.33293 + 4.0844i, for the oscillation mode it is -0.9043 + 7.9670i. While the generator frequency response, where oscillations occur before reaching steady state conditions. The biggest overshoot response occurs in Old Tello plants, with a maximum overshoot of 0.09124 pu and a minimum of -0.2227 pu. While the smallest overshoot response is found in the Bakaru hydroelectric power plant which is equal to 0.004681 maximum pu and -0.02563 minimum pu.
Penerapan SMES untuk Load Frequency Control pada PLTMH Menggunakan Ant Colony Optimization Faisal Faisal; Muhammad Ruswandi Djalal; Machrus Ali
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5101

Abstract

This research proposes an additional controller for load frequency control at a micro hydro power plant using PID-SMES. The PID-SMES parameters are optimized using smart methods called Ant Colony Optimization (ACO), which could find the optimal value of PID-SMES. In this paper four control approaches are compared which are P, PI, PID, SMES, and PID-SMES. From the simulation results, it can be obtained that overshoot of P controller is -0.0002193, with PI Controller is -0.0002183, with PD Controller is -0.0002139, with PID controller is -0.0002129, with SMES controller is -0.0001958, and with PID-SMES is -4.187e-05. ACO optimization results obtained fitness function value of 7.15e-09, with 50 iterations. The minimum value of the system performance function at each iteration is plotted on the convergence graph. In the simulation result, it can be concluded that the ACO algorithm could be quickly convergence on the 14th iteration or find the most optimal value at the 9th iteration. The PID-SMES controller proposed in this study has a significant influence in the damping of the oscillation of frequency deviation. Therefore, PID-SMES is appropriate to be applied to micro-hydro power plant.