This paper presents a method for power swing and fault diagnosis of power system based on Wavelet Packet Transform(WPT) and Support Vector Machine (SVM) classifier. The method adopts Least Square Support Vector Machine (LS-SVM) classifier to identify the power swing and fault types. The power swing blocking elements are based on monitoring the rate of change of wavelet packet energy and wavelet packet entropy of voltage and current signal, the positive current and zero sequence component. The process of training the LS-SVM using a K-folded cross validation process for determining the values of parameter σ and parameter γ in RBF kernel parameters can minimize the classification error. The proposed method can successfully detect power swing and provide power swing blocking signal for accurate distance protection.

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In this paper, a method of assessing and improving the reliability of power distribution systems based on Monte Carlo simulation and a novel risk priority index is proposed. The initialization of the assessment process is carried out by using Multinomial Monte Carlo simulation with a nonsequential technique to assess system reliability in the form of SAIFI and SAIDI indices. Then, the novel per-time-based component reliability indices representing the insights obtained from root-cause analysis for each component in the system are evaluated to make suitable decisions on improvement measures. The proposed indices are derived as a component risk priority index based on the principle of the failure mode and an effect analysis to prioritize and select the implementation points by the Pareto principle. By applying the proposed method, a reliability improvement should be achieved at the correct point with minimal operations. In addition, the proposed method can be used to study the effect of uncertainty regarding some device operations on the system reliability. To verify the performance of the proposed method and demonstrate its application, three case studies were performed on the IEEE RBTS Bus-2 test system. From the first case study, the results of the proposed assessment process were validated by comparison with a standard benchmark. The second case study showed the performance of applying the entire process to improve system reliability, and the results showed that system reliability can be improved significantly. The third case study was performed to determine the effect of uncertainty in protective device operations. The results of the third case showed that there was a significant decrease in overall reliability in terms of a higher level of power outages, while the performance of the protective components was slightly reduced. INDEX TERMSReliability assessment, nonsequential Monte Carlo simulation, multinomial distribution, multinomial Monte Carlo simulation, component risk priority index, per-time-based component reliability index.

Biodiesel production process can be rapidly done if the glycerin separation can be removed faster. With the palm oil crisis, biodiesel is needed for faster production to add more value and to solve the oversupply problem. Pulse forming network circuit can generate pulsed electric field (PEF) to speedily separate glycerin from biodiesel production. While the substance is reacting, the electrical impedance value of glycerin is changed, the pulse forming network will keep waveform to be a square wave. Transesterification process using palm oil mixed with methanol with a molar ratio of 1:6 by using 1 wt.% of KOH as a catalyst. The reaction chamber electrode was coaxial cylindrical electrodes with diameter 6 cm and 1 cm. The maximum voltage across the reaction chamber is 500 V with 1, 5 and 10 kHz frequency. Glycerin separation was best achieved when using 5 kHz frequency. The glycerin was obtained at 155 ml in 20 minutes.

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