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Short circuit fault as one of the characteristics of transient disturbances in electric power systems that must be addressed by the safety equipment. The increase at occurrence of short circuit generates large electrical currents and at a very low voltage. This research will address the simulation of short circuit interruption in the 150 kV transmission line system. The method is used to perform the simulation with the help of PSCAD / EMTDC and PWS (Power World Simulator) software's to obtain the characteristic of current and voltage on the 150 kV transmission network system in South Sulawesi. This discussion aims to examine the changes in current and voltage during short circuit fault with or without fault impedance and fault location distance. In this case, it will be taken case of short circuit between the air ducts with Bus PKEP to PPARE, For a distance fault of 22.5 km obtained by the fault current from the bus PKEP biggest, while at a distance of 66.5 km is acquired the fault current of the largest from the bus PPARE, of four types of errors are analyzed on the Z = 0 ohm is the largest short circuit interruption occurs in three phase fault (LLL), while at Z = 10 ohm = 15 ohm Z of the biggest mistakes of the line shortcircuit line to ground faults (LLG) [ABSTRACT FROM PUBLISHER]

Single line to ground faults are the most frequent faults likely to occur in the electric power system. The effect of ground fault is determined by generating station arrangements and transformer connections. In this paper, the performance of the generator within the single line to ground fault at various Neutral Grounding Resistors (NGR) and transformer configurations is studied. Simulations were conducted in MATLAB/Simulink and the results are analyzed. A comparison with the impact of faults at various transformer connections is presented. The impact of faults for generator with NGR is also analyzed. On the unit generator-transformer, fault current in the generator neutral is greatest at Yg-Yg transformer connection followed by Yg-Y and Yg-Δ, In addition, for the transformer winding Y-Y, Y-Yg, Y-Δ, Δ-Y, Δ-Yg and Δ-Δ no current flows through the NGR of generator. [ABSTRACT FROM PUBLISHER]

Total power losses in a distribution network can be minimized by installing Distributed Generator (DG) with correct size. In line with this objective, most of the researchers have used multiple types of optimization technique to regulate the DG's output to compute its optimal size. In this paper, a comparative studies of a new proposed Rank Evolutionary Particle Swarm Optimization (REPSO) method with Evolutionary Particle Swarm Optimization (EPSO) and Traditional Particle Swarm Optimization (PSO) is conducted. Both REPSO and EPSO are using the concept of Evolutionary Programming (EP) in Particle Swarm Optimization (PSO) process. The implementation of EP in PSO allows the entire particles to move toward the optimal value faster. A test on determining optimum size of DGs in 69 bus radial distribution system reveals the superiority of REPSO over PSO and EPSO. [ABSTRACT FROM PUBLISHER]

Voltage stability had always been a major concern in power system stability analysis. Many ways of handling and compensating the voltage stability had been developed but the assessment still plays an important part in it. Various voltage stability indices had been developed throughout the years to fulfill the role of estimating the voltage stability condition. This paper presented the various voltage stability indices that had been deployed and their effectiveness is being analyzed on IEEE 14-Bus Test System. Simulations had been carried out in order to evaluate and compare these indices in terms of types of loadings. Analysis indicated that different voltage stability indices used gave different accuracy and reliability on different loadings. [ABSTRACT FROM PUBLISHER]

Power System Stabilizer (PSS) is well known to provide damping in low-frequency oscillation and improve power system stability. This paper discussed the use of Takagi-Sugeno (TS) fuzzy logic to design the PSS controller and the performance is tested on single machine infinite bus (SMIB) system. The generator represented by the standard K-coefficients as second order system. The mechanism to determine the rule is describe and the performance is being investigated for both conventional PSS and proposed TS fuzzy PSS (FPSS) with different type of defuzzification for changes in mechanical input in the system. The angular speed deviation and its acceleration are being taken as the input parameters and the stabilize voltage signal as output. The system is simulated in MATLAB/SIMULINK environment. The superior response for FPSS proved the ability of Takagi-Sugeno fuzzy controller to enhance the stability of the system in comparison of the conventional one. [ABSTRACT FROM PUBLISHER]

Preventing voltage collapse occurrences in power systems are a challenging task worldwide. An adequate reactive power supply along with voltage limit violation may lead to blackout. The ability to sense such dynamic change and accurately determine voltage stability indications allows system control to take the necessary action to prevent such incidents. This paper presents efficient indices to calculate voltage stability analysis and predict system voltage collapse. Voltage stability margins can be calculated indicating how far the power system is from its severely loading condition. The proposed method was demonstrated on the 5-bus and IEEE 180-bus systems and compared with existing methods to show its validation and efficiency. [ABSTRACT FROM PUBLISHER]

High impedance fault (HIF) is very common problem and complex phenomena, and because of its distinctive characteristic is considered as riskiness for public safety and human. Therefore, the detection and protection of such faults still remain a topic of research and challenging of protection engineers. In this paper, a new model of (HIF) is introduced and tested with applying of new hybrid algorithm using the wavelet transform and the neural network. The Discrete wavelet transform (DWT) is used as feature extraction to extracts useful information from the distorted current signal that is generated from transmission system network under effect of the simulated model of (HIF). In order to improve training convergence and to reduce the number of inputs to the neural network, the coefficients of wavelet are calculated and used as the inputs for training Multi-layer back propagation neural network (BP-NN) for detection the high impedance fault and discriminate the faulty phase from healthy one. [ABSTRACT FROM PUBLISHER]

Battery-Switching Station (BSS) is one of the most important components in the growth of electrical vehicle (EV) market. In the distribution network point of view, these BSS units are a new type of load in the distribution system for charging the EV. The charging process consume real power, thus the nature of BSS load is purely resistive. Without proper allocation of BSS units, it might cause the power losses in the distribution system increase dramatically. In the present study, BSS units are located optimally utilizing Artificial Bee Colony (ABC) algorithm. The 33-bus distribution system with three distributed generators (DG) units using different load types is used as a test system. The result shows that the optimal location of BSS units does not affect the load types but has an impact to the power losses and voltage profile value. [ABSTRACT FROM PUBLISHER]