Power System Stabilizer (PSS) is an additional control equipment that is capable of improving system stability by providing an additional signal to excitation equipment. The PSS provided additional damping function to the generator when an interruption occurred. The PSS uses proper coordination required to achieve good performance. In a real application, determination of PSS parameters is usually conducted by using trial and error method (Conventional Method). However, it was very difficult to obtain optimal parameters using this method. To resolve this problem, one of the Intelligent Methods for optimizing PSS parameters was proposed. Firefly algorithm is one of the intelligent methods inspired from the behavior of Firefly. The results were compared between systems: 1) without PSS and 2) with PSS by using trial & error method. From the analysis obtained, it was generated that after the installation of PSS, the oscillation occurred can be prevented and overshoot in oscillations can be reduced. Also, this process can also improve settling time and critical eigenvalue as well as indicate an increase in system stability. The system used in this research was 150 kV applied in the electrical systems of Sulselrabar Region (South, East and West Provinces of Sulawesi Island), Indonesia.

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Due to the uncertainty of load demand, the stability of power system becomes more insecure. Small signal stability or lowfrequency oscillation is one of stability issues which correspond to power transmission between interconnected power systems. To enhance the small signal stability, an additional controller such as energy storage and flexible AC transmission system (FACTS) devices become inevitable. This paper investigates the application of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) to mitigate oscillation in a power system. To get the best parameter values of SMES and TCSC, particle swarm optimization (PSO) is used. The performance of the power system equipped with SMES and TCSC was analyzed through time domain simulations. Three machines (whose power ratings are 71.641, 163, and 85 MW) nine buses power system was used for simulation. From the simulation results, it is concluded that SMES and TCSC can mitigate oscillatory condition on the power system especially in lowering the maximum overshoot up to 0.005 pu in this case. It was also approved that PSO can be used to obtain the optimal parameter of SMES and TCSC.

Pitch angle of rocket system is the important parts of the rocket. This part corresponds to the movement of the rocket system. Rocket system is fell into multi-input and multi-output (MIMO) system. The most challenge factor in MIMO system is designing the controller, if the design is not appropriate, it may lead to the unstable condition. Hence, appropriate and robust control design is inevitable. This paper introduces PID controller as pitch angle control of rocket system. Furthermore, PID controller parameter is optimized using improved differential evolution algorithm (IDEA). To analyze the performance of rocket system, time domain simulation is implemented. From the simulation result, it is found by using PID controller based on IDEA, the performance of pitch angle of rocket system is enhanced.

Small signal stability is one of the factor to assesst the reliability of a power system. Small signal stability is related to the ability of a power system to maintain synchronization after being exposed by small disturbance. In Indonesia, the reliability of power system is one of the important aspect that has to be achieved. However, very scant attention has been paid on studied small signal stability performance on Indonesia electricity. Hence, this paper studied the small signal stability analysis and its enhancement. 150 kV Sulselrabar interconnected power system is used as test system. To enhance the performance of the system designing coordinated controller of power system stabilizer (PSS) and redox flow batteries (RFB) using cuckoo search algorithm (CSA) is conducted. Eigenvalue, damping ratio, participation factor analysis, and time domain simulation is performed to assess the small signal stability performance and the successfulness of the CSA to optimize the PSS and RFB parameter. From the cases studies, it is found that 150 kV Sulselrabar has 12 local mode and 4 inter-area mode. Furthermore, the coordinated controller between PSS and RFB based on CSA could enhance the small signal stability performance of 150 kV Sulselrabar interconnected system indicated by higher damping, smallest overshoot and fastest settling time.

Abstract-One of methods that can be used to determine the stability of a power system if the fault occured is the equal area criterion method. The equal area criterion method (Equal Area Criterion, EAC) is an example of a direct method for predicting the stability and also the critical clearing time (Critical clearing time). However, to calculate the complex calculations required to determine the equivalent impedance of each condition system. In this study used several approaches to facilitate the calculation of the equivalent impedance. This method uses the equation of power losses. This method is equivalent impedance using modified with Ploss and Qloss for Determining Pmax. From the analysis, it can be concluded the use of this method is quite accurate in analyzing or calculating the transient stability of the generator system in South Sulawesi, with each loading condition, before, during and after short circuit. Generator being looked at is Bakaru, Pare, Suppa, Barru and Sengkang.

Abstract-Due to development of technology in recent years, complexity and nonlinearity of mechanical and electrical system are increasing significantly. Inverted pendulum is nonlinear system that has become popular in recent years. However, inverted pendulum is nonlinear and unstable system. Therefore appropriate design controller of inverted pendulum system is crucial. Hence, this paper proposed, design of inverted pendulum system based on imperialist competitive algorithm (ICA). In order to design the controller, dynamic model of inverted pendulum system is used. Time domain simulation is used to address the controller performance. From the simulation result, it is found that imperialist competitive algorithm can be used to design inverted pendulum system controller.

- The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats based algorithm to design PSS. Bat Algorithm is an algorithm that works based on bat behavior in search of food source. Correlation with this research is, food sources sought by bats represent as PSS parameters to be optimized. Bat's algorithm will work based on a specified destination function, namely Integral Time Absolute Error (ITAE). In this research will be seen the deviation of velocity and rotor angle of each generator, in case of disturbance in bakaru generator. The analysis results show that the uncontrolled system produces a large overshoot oscillation, and after the addition of PSS oscillation control equipment can be muted. So that the overshoot and settling time of each generator can be reduced and the generator can quickly go to steady state condition.