Renewable Distributed Generation Models in Three-Phase Load Flow Analysis for Smart Grid

The paper presents renewable distributed generation (RDG) models as three-phase resource in load flow computation and analyzes their effect when they are connected in composite networks. The RDG models that have been considered comprise of photovoltaic (PV) and wind turbine generation (WTG). The voltage-controlled node and complex power injection node are used in the models. These improvement models are suitable for smart grid power system analysis. The combination of IEEE transmission and distribution data used to test and analyze the algorithm in solving balanced/unbalanced active systems. The combination of IEEE transmission data and IEEE test feeder are used to test the the algorithm for balanced and unbalanced multi-phase distribution system problem. The simulation results show that by increased number and size of RDG units have improved voltage profile and reduced system losses.

Unbalanced Active Distribution Analysis with Renewable Distributed Energy Resources

This paper presents unbalanced active distribution system analysis with renewable distributed Energy Resources (DER). The renewable DER models have been considered are photovoltaic (PV) and Wind Turbine generation (WTG). The three-phase distribution load flow on the basis of the symmetrical components have been used in the analysis. The unbalanced active distribution system has been analized using IEEE 13 node feeder and IEEE 8500 node feeder with renewable DER units. The variation of wind speed (m/s) for WTG, solar radiation (W/m²) and temperature (°C) for PV have been simulated. The simulation results show that the proposed DER model can be used to analysis renewable DER impacts in unbalanced distribution system. The integration of renewable DER units into an existing distribution network can improve the voltage profile and reduce total system losses. The simulation results show that DERs size and location are important factors to improve voltage profile and line loss reduction

Penerapan Model Pembelajaran Kooperatif Tipe Talking Chips untuk Meningkatkan Sikap Siswa terhadap Sains di Kelas VII Mts Al-huda Pekanbaru

This reasearch aimed to determine students\u27 attitudes on science by applying cooperative learning model talking chips at junior high school science learning on Objects Classification matter. The subject of this research was the students of class VII C Mts Al-Huda Pekanbaru, that consisted of 26 students. The data of this reasearch was primary data obtained from students\u27 prestest and post-test scores using students\u27 attitudes questionnaire on science and then analyzed descriptively. It consisted of four indicators, they were interesting in science, science learning activities, the importance of science and views on science environmental. Based on data analysis with Likert scale questionnaire obtained an average of 1-4 students\u27 attitudes toward sians with initial score of 2.58 and a final score of 2.83 was obtained high category. And then students\u27 attitudes increasing on science was analyzed by using a gain an obtained score 0.17 by low category. There for it can concluded Aplication Cooperative Learning Model Type Talking Chips can improve students\u27 attitudes on science in class VIIC Mts Al-Huda Pekanbaru with low gain category

Fast transient simulation of IEEE recommended surge arrester model on a transmission line using alternative transient program (ATP)

This study presents the outcomes of the performance evaluation simulation residual voltage output resulting from lightning arrestors IEEE Recommended model. This simulation uses software Alternative Transient Program - Electromagnetic transients Programmed (ATP-EMTP). This software is very appropriate in examining the behavior of the system, especially a high voltage system lines. As a result of the comparison can be made in the system of 132kV transmission line between systems that are not supplied with lightning arrestors, system supplied with lightning arrestors with conventional styles and systems supplied with lightning arrestors IEEE Recommended model. The results of the simulation study comparisons can be made by taking into account the peak voltage at sub transient conditions. This situation can determine the 132kV transmission line system can protect the equipment properly. Selection lightning 10kA with the 8μs fast front surge and trailing the current time is 20μs is appropriate in the circumstances lightning eruption in Malaysia. In this research, 132kV transmission line parameter tower need to be enclosed by the actual value of the output to the accurate or almost accurate in determining the ability of a lightning arrester in the system

Evaluation of Potato Crisps Fried in Market Samples of Palm Olein, Corn Oil and Soya Oil

The shelf life of potato crisps fried in market samples of palm olein, corn oil and soya oil was evaluated by a sensory panel comprising Malaysian panelists. The shelf-life of crisps fried in palm olein was significantly longer than those fried in soya oil (p <0.05). There were no significant differences (p < 0.05) between the shelf-life of crisps fried in palm olein and those fried in corn oil. In each oil system, the shelf-life of the crisps fried in the oils decreased with an increase in fry number. The shelf-life of the crisps fried in each oil was infuenced by the level of%polar components and the acid value of the oil

Treatment of outliers via interpolation method with neural network forecast performances

Outliers often lurk in many datasets, especially in real data. Such anomalous data can negatively affect statistical analyses, primarily normality, variance, and estimation aspects. Hence, handling the occurrences of outliers require special attention. Therefore, it is important to determine the suitable ways in treating outliers so as to ensure that the quality of the analyzed data is indeed high. As such, this paper discusses an alternative method to treat outliers via linear interpolation method. In fact, assuming outlier as a missing value in the dataset allows the application of the interpolation method to interpolate the outliers thus, enabling the comparison of data series using forecast accuracy before and after outlier treatment. With that, the monthly time series of Malaysian tourist arrivals from January 1998 until December 2015 had been used to interpolate the new series. The results indicated that the linear interpolation method, which was comprised of improved time series data, displayed better results, when compared to the original time series data in forecasting from both Box-Jenkins and neural network approaches

Adaptive spatial mode of space-time and spacefrequency OFDM system over fading channels

In this paper we present a 2 transmit 1 receive (1 Tx : 1 Rx) adaptive spatial mode (ASM) of space-time (ST) and space-frequency (SF) orthogonal frequency division multiplexing (OFDM). At low signal to noise ratio (SNR) we employ ST-OFDM and switch to SF-OFDM at a certain SNR threshold. We determine this threshold from the intersection of individual performance curves. Results show a gain of 9 dB (at a bit error rate of 10-3) is achieved by employing adaptive spatial mode compared to a fixed ST-OFDM, almost 6 dB to fixed SF-OFDM, 4 dB to Coded ST-OFDM and 2 dB to a fixed coded SF-OFDM, at a delay spread of 700 ns

Modelling Temperature and Strain-Rate Dependence of Recycled Aluminium Alloy AA6061

Recycling aluminium is a topic of high interest for numerous researchers&nbsp;to cope with the high demand for usage of its primary sources, and to overcome the environmental issues at the same time. Many recycling approaches, including the optimization&nbsp;of the recycling processes have been explored. However, the behaviour of such recycled material under various&nbsp;strain rates&nbsp;and the temperatures&nbsp;is yet established. This is important before an appropriate application can be identified in&nbsp;real practice. Therefore, the works in this manuscript are conducted to characterize the deformation behaviour of recycled aluminium alloy under the&nbsp;uniaxial tensile test using experimental and numerical approaches. The deformation behaviour of the recycled aluminium alloy produced using hot press forging recycling technique is tested over a range of strain rate (×10-4&nbsp;– ×10-3&nbsp;s-1) and elevated temperature (100°C – 300°C), where a&nbsp;mild ductile and elastoplastic behaviour are observed, and further compared with the primary form of AA6061. In addition, finite element (FE) model capable of predicting the non-linear behaviour of such materials using the flow stress model of MAT_098: Simplified Johnson-Cook model of LS-DYNA&nbsp;FE code is developed. The characterisation of this constitutive model is also discussed thoroughly in this paper. The numerical results are validated against the experimental data.&nbsp;A&nbsp;good agreement between the experimental and numerical results are obtained.&nbsp;The outcome of numerical analysis is important to prove a strength model is still relevant to predict the deformation behaviour of such recycle material. Further, it showed that further manufacturing advancement is required on the experimental part since an anisotropic parameters are still unavailable, yet vital for consideration

Modelling Temperature and Strain-Rate Dependence of Recycled Aluminium Alloy AA6061

Recycling aluminium is a topic of high interest for numerous researchers&nbsp;to cope with the high demand for usage of its primary sources, and to overcome the environmental issues at the same time. Many recycling approaches, including the optimization&nbsp;of the recycling processes have been explored. However, the behaviour of such recycled material under various&nbsp;strain rates&nbsp;and the temperatures&nbsp;is yet established. This is important before an appropriate application can be identified in&nbsp;real practice. Therefore, the works in this manuscript are conducted to characterize the deformation behaviour of recycled aluminium alloy under the&nbsp;uniaxial tensile test using experimental and numerical approaches. The deformation behaviour of the recycled aluminium alloy produced using hot press forging recycling technique is tested over a range of strain rate (×10-4&nbsp;– ×10-3&nbsp;s-1) and elevated temperature (100°C – 300°C), where a&nbsp;mild ductile and elastoplastic behaviour are observed, and further compared with the primary form of AA6061. In addition, finite element (FE) model capable of predicting the non-linear behaviour of such materials using the flow stress model of MAT_098: Simplified Johnson-Cook model of LS-DYNA&nbsp;FE code is developed. The characterisation of this constitutive model is also discussed thoroughly in this paper. The numerical results are validated against the experimental data.&nbsp;A&nbsp;good agreement between the experimental and numerical results are obtained.&nbsp;The outcome of numerical analysis is important to prove a strength model is still relevant to predict the deformation behaviour of such recycle material. Further, it showed that further manufacturing advancement is required on the experimental part since an anisotropic parameters are still unavailable, yet vital for consideration