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29,922 Article Results

Proposed energy management for a decentralized DC-microgrid based PV-WT-HESS for an isolated community

10.11591/ijpeds.v11.i4.pp2073-2082
Hafsi Oussama , Abdelkhalek Othmane , Hartani Mohammed Amine , Chakar Abdesselam , Soumeur Mohammed Amine
Microgrids are small-scale power systems destined to supply isolated villages and optimum utilization of renewable energies. For this reason, this paper presents a DC-MG of 150 Kwp to feed an island village. The configuration of the proposed system consists of four interconnected sub-sections supplied by the centralized unit through PV and Wind Distributed Energy Resources DERs, in addition to the supercapacitor storage device. In the other hand, internal batteries of each sub-section cover its load demand separately, where electrical and chemical storage devices can be advantageous hybrid energy storage system HESS for the system. Thus, the control structure of the DC-MG is based on current hysteresis method to assure the charge/discharge operation and the stability of the DC-bus voltage, then a proposed management strategy to manage the shared energy of the DCMG system. The system behavior is tested under variable parameters and conditions using Matlab/Simulink.
Volume: 11
Issue: 4
Page: 2073-2082
Publish at: 2020-12-01

Application of swarm intelligence algorithms to energy management of prosumers with wind power plants

10.11591/ijece.v10i6.pp6172-6179
P. V. Matrenin , V. Z. Manusov , N. Khasanzoda , D. V. Antonenkov
The paper considers the problem of optimal control of a prosumer with a wind power plant in smart grid. It is shown that control can be performed in non-deterministic conditions due to the impossibility of accurate forecasting of the generation from renewable plants. A control model based on a priority queue of logical rules with structural-parametric optimization is applied. The optimization problem is considered from a separate prosumer, not from the entire distributed system. The solution of the optimization problem is performed by three swarm intelligence algorithms. Computational experiments were carried out for models of wind energy systems on Russky Island and Popov Island (Far East). The results obtained showed the high effectiveness of the swarm intelligence algorithms that demonstrated reliable and fast convergence to the global extreme of the optimization problem under different scenarios and parameters of prosumers. Also, we analyzed the influence of accumulator capacity on the variability of prosumers. The variability, in turn, affects the increase of the prosumer benefits from the interaction with the external global power system and neighboring prosumers.
Volume: 10
Issue: 6
Page: 6172-6179
Publish at: 2020-12-01

Transient response improvement of direct current using supplementary control based on ANFIS for rectifier in HVDC

10.11591/ijpeds.v11.i4.pp2107-2115
I Made Ginarsa , Agung Budi Muljono , I Made Ari Nrartha , Sultan Sultan
Current control scheme is commonly used in high voltage direct current (HVDC) to transmit power delivery. This scheme is done by adjusting trigger angle to regulate direct current (DC) in thyristor devices. The adaptive neuro-fuzzy inference system (ANFIS) control is widely applied for start and fault operation. But, solution for transient response of DC current in HVDC system is not clearly studied before. In this paper, supplementary control (SC) based on ANFIS is proposed to improve the transient response of the current. The SC control is designed by learning-processes and SC parameters are obtained by data-training automatically. For current reference at 1.05 pu and up-ramp at 20 pu/s, maximum overshoot is achieved at 5.12% and 7.72% for the SC and proportional integral controller (PIC), respectively. When the up-ramp is increased to 28 pu/s, the maximum overshoot is achieved at 10.01% for the SC. While, the peak overshoot for the PIC is 14.28%.
Volume: 11
Issue: 4
Page: 2107-2115
Publish at: 2020-12-01

Forecasting for smart energy: an accurate and effificient negative binomial additive model

10.11591/ijeecs.v20.i2.pp1000-1006
Yousef-Awwad Daraghmi , Eman Yaser Daraghmi , Motaz Daadoo , Samer Alsaadi
Smart energy requires accurate and effificient short-term electric load forecasting to enable effificient energy management and active real-time power control. Forecasting accuracy is inflfluenced by the char acteristics of electrical load particularly overdispersion, nonlinearity, autocorrelation and seasonal patterns. Although several fundamental forecasting methods have been proposed, accurate and effificient forecasting methods that can consider all electric load characteristics are still needed. Therefore, we propose a novel model for short-term electric load forecasting. The model adopts the negative binomial additive models (NBAM) for handling overdispersion and capturing the nonlinearity of electric load. To address the season ality, the daily load pattern is classifified into high, moderate, and low seasons, and the autocorrelation of load is modeled separately in each season. We also consider the effificiency of forecasting since the NBAM captures the behavior of predictors by smooth functions that are estimated via a scoring algorithm which has low computational demand. The proposed NBAM is applied to real-world data set from Jericho city, and its accuracy and effificiency outperform those of the other models used in this context.
Volume: 20
Issue: 2
Page: 1000-1006
Publish at: 2020-11-01

Review of space charge measurement by pulsed electro-acoustic technique

10.11591/ijeecs.v20.i2.pp646-653
Mohd Haris Asyraf Shee Kandar , Nor Akmal Mohd Jamail , Nordiana Azlin Othman , Qamarul Ezani Kamarudin , Nor Shahida Mohd Jamail , Susama Bagchi
Pulsed electro-acoustic (PEA) is well known as a non-destructive technique for testing and describing space charge profiles in the insulation. Degradation due to moisture, ageing, external flashover, partial discharge and space charge are considered as insulation defects that is an issue in high voltage insulator. Space charge may distort the internal electric field that may lead to an electrical breakdown. For instance, a method based on an acoustic phenomenon can be used to describe the space charge profiles. This paper compares several earlier researches on different specimen of PEA method and reviews their results to find the space charge distribution profiles. The scope of the review includes types of methods used. The acoustic technique is considered for this study. It has been observed that the PEA technique successfully gives the same result as theoretical that is based on the obtained profile. Linear low-density polyethylene (LLDPE) composite demonstrates about 89 % lower charge density value compared to cross-linked polyethylene (XLPE) and polypropylene (PP) composite. While the electric field value of ethylene-vinyl acetate (EVA) sample is 75 % lower than low-density polyethylene (LDPE) sample. This study found that the time interval, specimen thickness and the electric field sway the space charge profiles. 
Volume: 20
Issue: 2
Page: 646-653
Publish at: 2020-11-01

Modelling foreign exchange rates: a comparison between markov-switching and markov-switching GARCH

10.11591/ijeecs.v20.i2.pp917-923
Mohd Azizi Amin Nunian , Siti Meriam Zahari , S.Sarifah Radiah Shariff
Foreign exchange rate is important as it determines a country's economic condition. It is used to carry out transfers of purchasing power between two or more countries. Volatility in exchange rates may result in difficulty in decision making especially, in financial sectors as high volatility could increase the risk in exchange rates. Thus, Markov switching model is employed in this study as it is believed to be efficient in handling not only volatilility but also nonlinearity characteristics in exchange rates. The aims of this study are to model the foreign exchange rates using two models; markov switching (M-S) models and markov switching generalized autoregressive conditional heteroscedasticity (M-S GARCH) and to compare these two models based on log-likelihood, AIC and BIC criteria. This study used the quarterly data of foreign exchange rates for singapore dollar (SGD), korean won (KRW), China yuan renminbi (CNY), Japanese yen (JPY) and the US dollar (USD) against Malaysia ringgit (MYR) which were collected from Quarter 4, 2006 to Quarter 1, 2018. The findings indicate that Markov Switching is the best model since it has the highest log-likelihood value, and the lowest AIC and BIC values. The results show that JPY and SGD have highly persistent trends on regime 1 with probability values 0.96 and 0.84, respectively as compared to CNY, KRW and USD, while the latter have high persistent trends on regime 2 with probability values, 0.99, 0.95, 0.82, respectively.
Volume: 20
Issue: 2
Page: 917-923
Publish at: 2020-11-01

The influence of Islamic culture on information privacy: case of Malaysia’s computer professionals

10.11591/ijeecs.v20.i2.pp910-916
Wan Abdul Rahim Wan Mohd Isa , Ahmad Iqbal Hakim Suhaimi , Nurulhuda Noordin , Mohd Sabry Mohd Safiq
In today's era of vulnerability and volatility, technologies in an organization evolving faster than the traditional landscape. Thus, sets the stage for trust and privacy concern for all the data that flying around in the database. Research on cultural aspects toward privacy starting to attract more ongoing research effort especially in Islamic religious culture. Islam gives great importance to the fundamental human right to privacy. This study aims to investigate Islamic cultural influences on Malaysia's computer professionals' self-regulatory efficacy towards the protection of personal information privacy by adapting the research frameworks of previous works. Further, data for this research obtained through the survey with computer professionals. Out of 226 respondents, 208 data are valid and usable for this study. Spearman's Rank Order Correlation was used to determine the relationship between culture and Information privacy self-regulatory efficacy dimensions. The findings from this research could provide a better understanding of the subject matter and be used as the basis for future studies.
Volume: 20
Issue: 2
Page: 910-916
Publish at: 2020-11-01

Terminal sliding mode control on autonomous underwater vehicle in diving motion control

10.11591/ijeecs.v20.i2.pp798-804
Nira Mawangi Sarif , Rafidah Ngadengon , Herdawatie Abdul Kadir , Mohd Hafiz A. Jalil
In this study, mechanism for reducing chattering in discrete conventional sliding mode controller (DSMC) for autonomous underwater vehicle (AUV) was designed in discrete time domain. The combination of reaching law approach and discrete terminal sliding mode control (DTSMC) scheme was employed to alleviate chattering effect caused by quasi sliding mode (QSM). First, 6 DOF NPS AUV II equation of motion is linearized to diving mode subsystem. Second, linear sliding surface in discrete time domain is designed and reaching law based (RLB) is employed to the control law. Thirdly, discrete nonlinear sliding surface, specifically DTSMC is designed to reduce chattering phenomena and improved precision control simultaneously. Finally, comparative experimental results are presented to illustrate the effectiveness and advantages of the nonlinear sliding surface.
Volume: 20
Issue: 2
Page: 798-804
Publish at: 2020-11-01

Exploring mobile learning development lifecycle with cultural context

10.11591/ijeecs.v20.i2.pp903-909
Wan Abdul Rahim Wan Mohd Isa , Ahmad Iqbal Hakim Suhaimi , Nurulhuda Noordin , Rabiatul Adawiyah Hashim
Based on the preliminary study, there are two problems that the development team faces; lack of development model or guideline with culture context for mobile learning developments and lack of cultural context in user interface and user experience of mobile learning development and practices. The main objectives are; (i) to propose Mobile Learning Development Lifecycle Cultural Model and to (ii) assess the proposed Mobile Learning Development Lifecycle Cultural Model. An IT scholar and five IT staff involved in mobile learning development based on the public and private sector at Klang Valley, Malaysia had been chosen for the interview session. The collected data has been analyzed by applying the thematic analysis approach. The first objective was achieved based on IT scholar reviewed on the model proposed. The IT scholar reviewed, (i) challenges on mobile learning development, (ii) theory of Hofstede on the design phase, (iii) user persona on the requirements phase, (iv) advantages of using the proposed model and (v) challenges on Mobile Learning Development Lifecycle Cultural Model. Then, the second objective was achieved by analyzing the qualitative information from the IT staff on the model proposed. The assessment was done by the IT staff for the Mobile Learning Development Lifecycle Cultural Model. There were four primary categories highlighted by the IT staffs which were (i) challenges on mobile learning development, (ii) overcome the challenges, (iii) important elements in mobile learning development and (iv) advantages of Mobile Learning Development Lifecycle Cultural Model. For future work, this study can include more IT scholar and IT staff from diverse positions from multiple organizations.
Volume: 20
Issue: 2
Page: 903-909
Publish at: 2020-11-01

TRIGA PUSPATI reactor: model analysis and accuracy

10.11591/ijeecs.v20.i2.pp788-797
Nor Arymaswati Abdullah , Azura Che Soh , Samsul Bahari Mohd Noor , Ribhan Zafira Abd. Rahman , Julia Abd Karim
There are many challenging issues with research reactor, such as time variation and uncertainty. Since its first criticality in 1982, the biggest changes in TRIGA PUSPATI Reactor system is the replacement of instrumentation and control console system from analogue to digital in 2013. Apart from providing methods of controlling the power reactor via the control rod movement, the Instrumentation and Control Console System also provides monitoring and display for all reactor parameters to protect the reactor from undue influences or abnormal circumstances. Meanwhile, the simulation model of the TRIGA PUSPATI Reactor system has been developed in the Simulink-MATLAB. The simulation model development is based on the research reactor mathematical representatives and the real plant parameters of TRIGA PUSPATI Reactor. However, the performance of this simulation model needs to be evaluated. Since there is no report or paper work found on the performance of the simulation model to represent the real system of RTP, the present study aims to carry out an analysis for more rigorous understanding of the TRIGA PUSPATI Reactor model simulation through validation and verification methods. After analysing the result, it was found that the simulation model has a good representation of a real plant.
Volume: 20
Issue: 2
Page: 788-797
Publish at: 2020-11-01

Review of mobile robots obstacle avoidance, localization, motion planning, and wheels

10.11591/ijeecs.v20.i2.pp768-776
Mustafa A. Mhawesh , Zaid H. Al-Tameemi , Omar Muhammed Neda
The main objective of this research is to study the obstacle avoidance, Monte Carlo Localization (MCL) method, motion planning in dynamic networks for mobile robots, and mobile robots wheels depending on the previous published researches. The researchers had done their experiments on different mobile robots and had validated them. This research helps the readers to learn how the robot changes its directions to prevent itself from collisions depending on three ultrasonic sensors. Also, they will learn the localization of the mobile robots depending on the recorded data from RHINO and MINERVA robots. In addition to learning the obstacle avoiding and the localization of mobile robots, the readers will learn new planning framework. Furthermore, they will get knowledge in types of mobile robots wheels.
Volume: 20
Issue: 2
Page: 768-776
Publish at: 2020-11-01

Opinion classification on a social network by a novel feature selection technique

10.11591/ijeecs.v20.i2.pp960-967
Atchara Choompol , Panida Songram , Phattahanaphong Chomphuwiset
Most of the opinion comments on social networks are short and ambiguous. In general, opinion classification on the comments is difficult because of lacking dominant features. A feature extraction technique is therefore necessary for improving accuracy of the classification and computational time. This paper proposes an effective feature selection method for opinion classification on a social network. The proposed method selects features based on the concept of a filter model, together with association rules. Support and confidence are used to calculate the weights of features. The features with high weight are selected for classification. Unlike supports in association rules, supports in our method are normalized to 0-1 to remove outlier supports. Moreover, a tuning parameter is used to emphasize the degree of support or confidence. The experimental results show that the proposed method provides high classification efficiency. The proposed method outperforms Information Gain, Chi-Square, and Gini Index in both computational time and accuracy.
Volume: 20
Issue: 2
Page: 960-967
Publish at: 2020-11-01

Multiple element of miniaturized printed log-periodic second series koch dipole array antenna for wideband chipless RFID tag reader

10.11591/ijeecs.v20.i2.pp887-893
Mohd Ezwan Bin Jalil , Mohamad Kamal A. Rahim , Noor Asmawati Samsuri , Sunti Tuntrakool
This paper aims to produce a low profile, wideband, and high gain antenna for chipless RFID tag readers. A miniaturized and wideband printed Log-periodic second series koch dipole array (LPSSKDA) with eleven elements operating over 0.8 GHz-3.2 GHz is designed using the FR4 board. The single LPSSKDA antenna, which acts as the chipless RFID reader antenna having gain between 5.2 and 6.1 dBi and frequency range from 1-3 GHz. A double element of the LPSSKDA antenna is proposed for improving the antenna gain to 6.9-7.9 dBi over the frequency range. The antenna is fabricated to validate the simulation and measurement results in terms of reflection coefficient, radiation pattern, and surface current distribution.
Volume: 20
Issue: 2
Page: 887-893
Publish at: 2020-11-01

Implementation of the electronic sector of the satellite camera and image contrast enhancement

10.11591/ijeecs.v20.i2.pp690-703
Majid Zarie , Jafar Khalilpour , Farhad Sadeghi Almaloo
The purpose of this paper is to design and implement the electronic sector of satellite camera on the basis of systematic calculations as well as presenting the general and detailed block diagram. The main parts of the designed camera consist of four units named “optics, detector, processors, and memory” that can work in one of three modes: real-time, storage and storage-send. Verification of the simulation and practical results are shown completely by receiving images.  According to the conditions of the satellite imaging, in most cases, there is a need to improve the image quality. A very important feature in the satellite images is contrast enhancement. In the following, a powerful contrast enhancement algorithm is proposed based on histogram equalization method called the “entropy-based triple dynamic clipped histogram equalization” (ETDCHE). One of the strengths of this paper is using images with diverse variations in brightness. Such that by producing clear images and by preserving maximum details this overcomes the adverse lighting conditions and leads to natural enhancement of the output images. Also, the performance assessment of the proposed method in terms of the average information content reflects the considerable superiority of the proposed algorithm compared to the previously presented methods based on histogram equalization.
Volume: 20
Issue: 2
Page: 690-703
Publish at: 2020-11-01

Throughput maximization for full-duplex two-way relay with finite buffers

10.11591/ijeecs.v20.i2.pp854-862
Betene Anyugu Francis Lin
Optimal queueing control of multi-hop networks remains a challenging problem, e specially in two-way relaying systems, even in the most straightforward scenarios. In this paper, we explore two-way relaying having a full-duplex decode-and-forward relay with two fifinite buffers. Principally, we propose a novel concept based on the multi-agent reinforcement learning (that maximizes the cumulative network throughput) based on the combination of the buffer states and the lossy links; a decision is generated as to whether it can transmit, receive or even simultaneously receive and transmit information. Towards this objective, chieflfly, based on the queue state transi tion and the lossy links, an analytic Markov decision process is proposed to analyze this scheme, and the throughput and queueing delay are derived. Our numerical results reveal exciting insights. First, artifificial intelligence based on reinforcement learning is optimal when the length of the buffer is superior to a certain threshold. Second, we demonstrate that reinforcement learning can boost transmission effificiency and prevent buffer overflflow.
Volume: 20
Issue: 2
Page: 854-862
Publish at: 2020-11-01
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