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31,377 Article Results

Solar irradiance forecasting using fuzzy logic and multilinear regression approach: A case study of Punjab, India

10.11591/ijaas.v8.i2.pp125-135
Sahil Mehta , Prasenjit Basak
The accurate forecasting of solar irradiance depends on various uncertain parameters like time of day, temperature, wind speed, humidity, and atmospheric pressure. All these play an important role in calculating PV power output. In this paper, a novel approach for forecasting of solar irradiance using flexible and accurate fuzzy logic and robust multi-linear regression approach has been proposed considering the above mentioned five variables. Based on the simultaneous consideration of those five variables, the solar irradiance is forecasted using the proposed methodology at a particular location in India, and the results are compared with the real time measured value of solar irradiance at that location on the days for which solar irradiance are forecasted. The proposed method is validated by comparing the results with real time data. The error analysis of the fuzzy logic based proposed system shows the root mean square error of 10.011 and mean absolute percentage error of 1.703%, while compared with real time data measured by instruments pyranometer, anemometer etc. The same results are found better while compared with the results obtained using multilinear regression approach.
Volume: 8
Issue: 2
Page: 125-135
Publish at: 2019-06-01

A model free dissolved oxygen controller for industry effluent using hybrid variables measuring technique

10.11591/ijaas.v8.i2.pp157-163
P. Kingston Stanley , Sanjeevi Gandhi A. , D. Abraham Chandy
The present scenario of the world relays on water scarcity, enormous amount of water is needed for people but the world has pollution which makes a great effect. Water is polluted due to various reasons such as industrial waste, sewage, and global warming and oil pollution and mainly polluted due to industrial effluent waste water. The main objective of this paper is to control the dissolved oxygen of the industrial waste water by measuring turbidity and dissolved oxygen (DO). Turbidity is measured through the intensity of the light through the medium in Nephelometric unit (NTU) and dissolved oxygen is measured in PPM through amperometic electrode method. The controller is designed to improve the quality of the effluent water through the aeration process. The very low concentration of dissolved oxygen (DO) level is too harmful to the aquatic ecosystem and it pollutes the water to the maximum extent. This measurement method of turbidity has an enhanced idea which processed with the software and it is monitored. The controller is designed as such with the condition of inverse proportionality of water turbidity and dissolved oxygen, which contributes an additive advantage to the concept design.
Volume: 8
Issue: 2
Page: 157-163
Publish at: 2019-06-01

High impedance fault detection in distribution system

10.11591/ijaas.v8.i2.pp95-102
Kavaskar Sekar , Nalin Kant Mohanty
High impedance faults (HIFs) present a huge complexity of identification in an electric power distribution network (EPDN) due to their characteristics. Further, the growth of non-linear load adds complexity in HIF detection. One primary challenge of power system engineers is to reliably detect and discriminate HIFs from normal distribution system load and other switching transient disturbances. In this study, a novel HIF detection method is proposed based on the simulation of an accurate model of an actual EPDN study with real data. The proposed method uses current signal alone and does not require voltage signal. Wavelet transform (WT) is used for signal decomposition to extract statistical features and classification of HIF into Non-HIF (NHIF) by Neural Networks (NNs). The simulation study of the proposed method provides good, consistent and powerful protection for HIF.
Volume: 8
Issue: 2
Page: 95-102
Publish at: 2019-06-01

Power flow management of triple active bridge for fuel cell applications

10.11591/ijpeds.v10.i2.pp672-681
Nageswara Rao Kudithi , Sakda Somkun
The power conditioning circuits which are used in fuel cell systems should carefully be designed to prolong the life span of the system, for the reason of the dynamic nature, such that the unexpected and extreme changes in load decreases the life of the fuel cells. This paper presents the triple active bridge (TAB) and it’s average small signal modelling, which is used for design of the system controllers for stable operation. The extended symmetrical optimum method is used for realized the proportional integral (PI) controller, to control the output/Load voltage and power flow in the fuel cell/Source with a guaranteed minimum phase margin for the system with a variable process gain in addition to other accepted desired performances. This method ensures the maximum phase margin at a minimum required value at the desired gain crossover frequency with a compromise between system’s peak overshoot, rise time and settling time. This model and this approach helps in designing TAB suitable for healthy and uninterrupted fuel cell power generation systems as a part of a renewable /clean energy system. MATLAB/Simulink is used to simulate the proposed controllers with TAB.
Volume: 10
Issue: 2
Page: 672-681
Publish at: 2019-06-01

Bulk binding approach for PMIPv6 protocol to reduce handoff latency in IoT

10.11591/ijece.v9i3.pp1894-1901
Adnan J. Jabir
Mobility management protocols are very essential in the new research area of Internet of Things (IoT) as the static attributes of nodes are no longer dominant in the current environment. Proxy MIPv6 (PMIPv6) protocol is a network-based mobility management protocol, where the mobility process is relied on the network entities, named, Mobile Access Gateways (MAGs) and Local Mobility Anchor (LMA). PMIPv6 is considered as the most suitable mobility protocol for WSN as it relieves the sensor nodes from participating in the mobility signaling. However, in PMIPv6, a separate signaling is required for each mobile node (MN) registration, which may increase the network signaling overhead and lead to increase the total handoff latency. The bulk binding approaches were used to enhance the mobility signaling for MNs which are moving together from one MAG to another by exchanging a single bulk binding update message. However, in some cases there might be several MNs move at the same time but among different MAGs. In this paper, a bulk registration scheme based on the clustered sensor PMIPv6 architecture is proposed to reduce the mobility signaling cost by creating a single bulk message for all MNs attached to the cluster. Our mathematical results show that the proposed bulk scheme enhances the PMIPv6 performance by reducing the total handoff latency.
Volume: 9
Issue: 3
Page: 1894-1901
Publish at: 2019-06-01

Solar panel monitoring and energy prediction for smart solar system

10.11591/ijaas.v8.i2.pp136-142
Isha M. Shirbhate , Sunita S. Barve
Solar Energy is established as an alternative source of energy known as renewable energy. In a developing country like India, the perspective of Solar Energy is important, as it supports a limitless source of energy. Monitoring and prediction of photo-voltaic energy generation help to reduce the energy loss and empower to utilize more energy. Solar energy prediction is challenging as it depends on the fluctuating solar radiations and climate conditions. The problem statement is to monitor solar panels and predict energy generation for energy management procedure. In this paper, the Internet of Things and Machine Learning algorithms are used as a powerful tool for developing a smart solar system. The metro-logical data such as humidity, temperature and photovoltaic panel data is used as input to forecast solar power generation. For prediction, we examine time-series of solar energy data with Hidden Markov Model. This model considers the probabilistic correlation between previous values to next value in time-series. Experimental results shows that individual panel dead state is located successfully and time-series based solar energy prediction emulate the actual power generation.
Volume: 8
Issue: 2
Page: 136-142
Publish at: 2019-06-01

Frequency regulation of modern power system using novel hybrid DE-DA algorithm

10.11591/ijaas.v8.i2.pp103-116
Sayantan Sinha , Ranjan Kumar Mallick
An attempt has been made to regulate the frequency of an interconnected  modern power system using automatic generation control under a restructured market scenario. The system model considered consists of a thermal generation plant coupled with a gas turbine plant in both areas. The presence of deregulated market scenario in an interconnected power system makes it too vulnerable to small load disturbance giving rise to frequency and tie line power imbalances. An attempt has been made to introduce a novel Tilted Integral derivative controller to minimize the frequency and tie line power deviations and restrict them to scheduled values. A maiden attempt has been made to tune the controller gains with the help of a novel hybrid optimization scheme which includes the amalgamation of the exploitative nature of the Differential evolution technique and the explorative attributes of the Dragonfly Algorithm. This hybrid technique is therefore coined as Differential evolution- dragonfly algorithm (DE-DA) technique. Use of some standard benchmark fucntions are made to prove the efficacy of the proposed scheme in tunig the controller gains. The supremacy of the proposed TID controller is examined under two individual market scenarios and under the effect of a step load disturbance. The robustness of the controller in minimizing frequency deviations in the systems is broadly showcased. The superiority of the controller is also proved by comparing it with pre published results.
Volume: 8
Issue: 2
Page: 103-116
Publish at: 2019-06-01

Modeling and simulation of quasi-Z-source indirect matrix converter for permanent magnet synchronous motor drive

10.11591/ijpeds.v10.i2.pp882-899
Ahmed Muthenaa Nori , Turki K. Hassan
This paper aims to use a three-phase quasi-Z-source indirect matrix converter (QZSIMC) to expand the voltage gain for application in a Permanent Magnet Synchronous Motor (PMSM) drives. In this converter, a unique quasi-Z-source network (QZSN) connects the three-phase input voltage to conventional indirect matrix converter (IMC) in order to boost the supply voltage for PMSM because of limited voltage gain of IMC. Dual space vector modulation (SVM) is utilized to control the QZSIMC. The amplitude of output voltage for quasi-Z-source network is raised by the shoot-through of the rectifier stage, so the system voltage gain becomes greater. Through selecting the optimized value of shoot through duty ratio (D) and modulation index of the rectifier stage (), the drive system can automatically regulate the output voltage of QZSIMC during conditions of voltage sag , step change in load torque and reference speed change when the required voltage gain of QZSIMC is more than 0.866 depending on input voltage and required output voltage.The vector control technique based on closed loop speed control is proposed to control speed of the motor from zero to rated speed which is combined with the proposed converter to obtain the motor drive. The simulation results with MATLAB /Simulink 2015 are obtained to validate performance of PMSM drive.
Volume: 10
Issue: 2
Page: 882-899
Publish at: 2019-06-01

Performance evaluation and comparison of diode clamped multilevel inverter and hybrid inverter based on PD and APOD modulation techniques

10.11591/ijaas.v8.i2.pp143-153
N. Susheela , P. Satish Kumar
The popularity of multilevel inverters have increasing over the years in various applications without use of a transformer and has many benefits. This work presents the performance and comparative analysis of single phase diode clamped multilevel inverter and a hybrid inverter with reduced number of components. As there are some drawbacks of diode clamped multilevel inverter such as requiring higher number of components, PWM control method is complex and capacitor voltage balancing problem, an implementation of hybrid inverter that requires fewer components and less carrier signals when compared to conventional multilevel inverters is discussed. The performance of single phase diode clamped multilevel inverter and hybrid multilevel inverter for seven, nine and eleven levels is performed using phase disposition, alternate phase opposition disposition sinusoidal pulse width modulation techniques. Both the multilevel inverter are implemented for the above mentioned multicarrier based Pulse Width Modulation methods for R and R-L loads.  The total harmonic distortion is evaluated at various modulation indices. The analysis of the multilevel inverters is done by simulation in matlab / simulink environment.
Volume: 8
Issue: 2
Page: 143-153
Publish at: 2019-06-01

Pre-service teachers’ web pedagogical content knowledge and online information searching strategies

10.11591/ijere.v8i2.18771
Güler Tuluk , İbrahim Kepceoglu
This study aimed to investigate the relationship between pre-service teachers’ web pedagogical content knowledge and online information searching strategies. In accordance with the aim, the correlational comparative survey method is used. The participants of the study are 220 university students from a faculty of education of a state university. The data of the study is gathered by Turkish versions of “Teachers’ Self-Efficacy toward the Web Pedagogical Content Knowledge Scale” and “Online Information Searching Strategy Inventory”. Canonical correlation analysis is used to determine the relationship between these two scales. As a result of the study, 17.3% common variance is determined between web pedagogical content knowledge and online information searching strategies.
Volume: 8
Issue: 2
Page: 229-236
Publish at: 2019-06-01

Demand of ICT-based chemistry learning media in the disruptive era

10.11591/ijere.v8i2.17107
Ratna Kumala Dewi , Sri Wardani , Nanik Wijayati , Woro Sumarni
The challenges of education in the era of the industrial revolution include disruption 4.0, 21st-century skills, globalization, and global competition. Chemistry is a subject that needs to be developed in order to improve the educational system in the era of disruption. The purpose of this research is to identify and analyze the needs of the media-based chemistry study ICT at grade X redox materials in State Senior Highschool 8 Semarang during the disruption. The method used in this research is a descriptive qualitative method which consists of the study of literature and the study of the field. Method of data collection is done through observation, question form, documentation, interview teachers, as well as interview students. This research instrument consisting of a sheet of observation, question form, and sheet interview. The results showed that chemical-based learning media limited ICT in State Senior Highschool 8 Semarang redox materials especially in class X. That is because of the teacher's difficulty in innovating to develop learning media chemistry-based ICT and lack of student understanding and literacy in the study of chemical materials. Teachers play an important role in order to educate the students towards the era of disruption. In this era of chemical subjects not only taught students with literacy (reading, writing, math) but the need for a new form of literacy the literacy data, technology, and human resources in order to overcome learning difficulties and improving students learning outcomes for better value.
Volume: 8
Issue: 2
Page: 265-270
Publish at: 2019-06-01

Improving CCT-D and LO of the 6600K ICP-WLEDs by K2SiF6:Mn4+ Phosphor

10.11591/ijpeds.v10.i2.pp1059-1063
Phu Tran Tin , Anh Vu Le , Minh Tran , Nguyen Huu Khanh Nhan , Tran Thanh Trang
In this research, we propose a novel recommendation for improving CCT-D and lumen output (LO) of the 6600K in-cup packaging white LEDs (ICP-WLEDs) by varying its particle concentration. By using Light Tools and Mat lab software based on the Mie Theory, we derive the influence of the red phosphor particle’s concentration on the D-CCT and LO. The results show that the CCT-D are significantly affected when the concentration of the red phosphor varying from 0% to 1.8%. The CCT-D decreases from 4000K to 2200K and LO increases from 800 lm to 1300 lm.
Volume: 10
Issue: 2
Page: 1059-1063
Publish at: 2019-06-01

Internal locus of control, social support and academic procrastination among students in completing the thesis

10.11591/ijere.v8i2.17043
Winda Liftiana Sari , Fuadah Fakhruddiana
The basis of this study was to determine the relationship between internal locus of control and social support with students' academic procrastination in completing their thesis. This study is using correlational sampling technique and the research samples taken from quota sampling technique are 80 college students who are in the process of completing the thesis. The measuring instrument is the Academic Procrastination Scale in completing the thesis, Internal Locus of Control Scale and Social Support Scale. The regression analysis result that there is a very significant correlation between internal locus of control and social support with academic procrastination of the students in completing the thesis. Further analysis showed that there is a very significant negative correlation between internal locus of control with academic procrastination. This means that the lower level of internal locus of control, the higher level of academic procrastination in completing a thesis, and vice versa. Likewise, there is a very significant negative correlation between social support and academic procrastination in completing a thesis. This result means that the lower level of social support, the higher level of academic procrastination in completing a thesis, and vice versa.
Volume: 8
Issue: 2
Page: 363-368
Publish at: 2019-06-01

Frequency adaptive sliding fourier transform for synchronizing VSI to the grid

10.11591/ijpeds.v10.i2.pp1034-1048
Osama M. Arafa , M. E. Abdallah , Ghada A. Abdel Aziz
Sliding Discrete Fourier Transform (SDFT) is very efficient regarding computational load and it possesses a very fast phase angle detection with excellent harmonic rejection at nominal frequency. However, at off-nominal frequency, SDFT generates errors in both magnitude and phase angle due to spectral leakage. This paper introduces a workaround for Fourier Transform to handle this disability under off-nominal frequency while avoiding variable-rate sampling. Sliding Fourier Transform (SFT) is used as a phase detector for a phase-locked loop whose output frequency is used to drive the SFT. The paper revisits the mathematics of Fourier Transform (FT) in a three-phase setting via a time-domain approach to show a newly proposed filtering technique for the double-frequency oscillation just by summing the FT sine/cosine filter outputs of the three individual phases. Also, the analysis aims to determine and correct the phase and magnitude errors under offnominal frequency operation. The proposed technique (SFT-PLL) is tested in real time on dSPACE DS1202 DSP using voltage vectors that are pregenerated to simulate the most adverse grid conditions. The testing scenarios compare the performance of the SFT-PLL with that of the Decoupled Stationary Reference Frame PLL (dαβPLL). The results prove that SFT-PLL is superior to dαβPLL.
Volume: 10
Issue: 2
Page: 1034-1048
Publish at: 2019-06-01

Increasing ecoliteracy and student creativity in waste utilization by usingmodels in project based learning social studies learning

10.11591/ijere.v8i2.18901
Sekarsari Sunaryo Putri , Muhammad Japar , Riana Bagaskorowati
This study aims to determine the increase in ecoliteracy and creativity in waste utilization by using a project-based-learning (PBL) model in social studies learning. This research is a classroom action research (Action Research). The design of the action model used is the Kemmis and Mc model. Taggart. This research was conducted in the fifth grade (V) of Primary Schools. Data collection techniques used in the study were observation sheet, interview, documentation, and field notes instruments. The results of this study showed that there was an increase in ecolithicacy ability.Based on the results of the pretest conducted on December 17, 2018, it can be seen that students in Telajung 02 Public Elementary School have not had the ability of Ecoliteracy and students' creativity in utilizing waste. Of the 32 students, the highest score that can be obtained is only 40 from a maximum score of 100. While the lowest value obtained is 20 from a maximum score of 100. In the first cycle, around 63% of students classified as having high ecoliteration ability, 9% classified as having the low ecoliteration ability and 28% classified as having the very low ecoliteration ability. In cycle II, there was an increase, around 90% of students classified as having high ecoliteration ability, 6% classified as having the low ecoliteration ability and 4% classified as having low ecoliteration ability. The average value of ecoliteration ability in the first cycle was 87.6 and the second cycle increased to 78.2. In addition, students become more active in the learning process and more courageous in expressing their opinions. This shows that the ecoliteracy and creativity of students can be improved through the project-based-learning model.
Volume: 8
Issue: 2
Page: 255-264
Publish at: 2019-06-01
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