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Electricity market strategies applied to microgrid development

10.11591/ijpeds.v11.i1.pp530-546
Carlos Ulises Cassiani , John Edwin Candelo Becerra , Fredy Edimer Hoyos
Over the last decade, the liberalization of the electricity market has been sought. In order to fight the environmental impact caused by the use of fossil fuels, it is aimed to change the current system of centralized generation and achieve a more distributed one; distributed resources can use renewable or non-renewable resources as main source of energy, one way to implement these distributed systems is through micro electrical grids, since these allow improving energy efficiency. The way to efficiently implement this type of network is an important point to be solved in future research and even more if the way of conducting an electricity market for different communities is unknown. That is why this text presents the characteristics of microgrids, the management of microgrids, and the wide and promising panorama of future opportunities for a great development of this type of grid.
Volume: 11
Issue: 1
Page: 530-546
Publish at: 2020-03-01

A colour recognition device for the visually disabled people

10.11591/ijeecs.v17.i3.pp1322-1329
Norazila Othman , Mohd Zarhamdy Md. Zain , Iskandar Shah Ishak , Abdul Rahim Abu Bakar , Mastura Ab Wahid , Maziah Mohamad
Visually disabled people rely on the sense of touch and sense of hearing to help them recognise anything in their everyday life. Colours, however, is also important in giving information about things such as the colour of cash note (blue, green, red, orange and purple), the colour of spices (yellow turmeric, red chilli, green chilli) and colour of cloth. Without a sense of visual, they are not able to recognise colour and perceive the beauty of colour. This study was conducted to develop a colour recognizer for visually ‎disabled people‎. Colour recogniser used the colour sensor to sense the colour, microcontroller to recognise the colour and notify the user using a speech generator and speaker. The device is powered by dry cell batteries and designed to be user-friendly, practical and portable. The testing is done to show that this device was able to sense and differentiate 12 primary colours in the RGB colour wheel and validated the accuracy of this devices.
Volume: 17
Issue: 3
Page: 1322-1329
Publish at: 2020-03-01

Interpretation of sweep frequency response analysis traces on inter-turn short circuit fault

10.11591/ijpeds.v11.i1.pp309-316
Nurul Farahwahida Md Yasid , A. A. Alawady , M. F. M. Yousof , S. Al-Ameri , M. S. Kamarudin
Sweep frequency response analysis (SFRA) is a reliable method for detection and diagnosis of faults in the active part of transformers. However, although SFRA is widely employed, the interpretation of SFRA signature is still a challenge and require experts to analyse them. This is due to lack of guideline and standard for SFRA signature interpretation and clarification. This paper presents the interpretation of SFRA signature by classification and quantification on inter-turn short circuit fault on the transformer winding. The short-circuited turns fault on HV winding phase “A” was practically simulated on three different units of three-phase transformers. The results of simulated fault are presented and discussed. A conclusion was drawn which provides the interpretation of the SFRA response due to inter-turn short circuit fault case by using a statistical indicator which is NCEPRI algorithm.
Volume: 11
Issue: 1
Page: 309-316
Publish at: 2020-03-01

A smart energy consumption manager based on protues simulation

10.11591/ijpeds.v11.i1.pp143-150
Mohammed Abdulhussein Mohammed , Alaa Desher Farhood , Ahmed Jabbar Abid
In the proposed system, a strategy for the control of energy consumption by home appliances is provided. The statistics of previous energy production and consumption of a case study city are used in providing the strategy. In the design of the proposed system, home appliances are categorized into three levels of priority, even though it can be more than three. In this article the control of energy consumption is achieved using a real time energy consumption manager (ECM) based on stored data without the need for real time communication. The system which is proposed here is affordable and simple. Also, it does not require grid upgrade or power line communication through the grid. 
Volume: 11
Issue: 1
Page: 143-150
Publish at: 2020-03-01

Feature selection for DDoS detection using classification machine learning techniques

10.11591/ijai.v9.i1.pp137-145
Andi Maslan , Kamaruddin Malik Bin Mohamad , Feresa Binti Mohd Foozy
Computer system security is a factor that needs to be considered in the era of industrial revolution 4.0, namely by preventing various threats to the system, as well as being able to detect and repair any damage that occurs to the computer system. DDoS attacks are a threat to the company at this time because this attack is carried out by making very large requests for a site or website server so that the system becomes stuck and cannot function at all. DDoS attacks in Indonesia and developed countries always increase every year to 6% from only 3%. To minimize the attack, we conducted a study using Machine Learning techniques. The dataset is obtained from the results of DDoS attacks that have been collected by the researchers. From the datasets there is a training and testing of data using five techniques classification: Neural Network, Naïve Bayes and Random Forest, KNN, and Support Vector Machine (SVM), datasets processed have different percentages, with the aim of facilitating in classifying. From this study it can be concluded that from the five classification techniques used, the Forest random classification technique achieved the highest level of accuracy (98.70%) with a Weighted Avg 98.4%. This means that the technique can detect DDoS attacks accurately on the application that will be developed.
Volume: 9
Issue: 1
Page: 137-145
Publish at: 2020-03-01

Qualitative doctoral research in educational settings: Reflecting on meaningful encounters

10.11591/ijere.v9i1.20360
Myria Pieridou , Maria Kambouri-Danos
In qualitative doctoral research the methodological approach, and the research design are extremely important when ensuring the rigorousness of the work. This is particularly significant for all researchers, and even more for doctoral students who are still developing their research and analytical skills. This paper aims to support doctoral students in their research journey by highlighting some of the tensions involved in conducting qualitative research by unpicking the experiences of two doctoral students to learn from the concerns, questions and reflections on the use of qualitative methodology in their doctoral research projects. The findings reveal challenges and insights with regards to reflection, educational research and the developing identity of being a researcher. The paper discusses these reflections to support and guide doctoral students as early career researchers when planning and conducting qualitative research in educational settings. 
Volume: 9
Issue: 1
Page: 21-31
Publish at: 2020-03-01

Design and implementation of an impressed current cathodic protection system for buried metallic pipes (part II) (considering Al-Quds gas station in Baghdad)

10.11591/ijpeds.v11.i1.pp275-283
Saif al deen H Mohammed , Isam M Abdulbaqi
In this part, the implementation of the Cathodic Protection (CP) station in a new position is done due to the analytical study of the part (I) [1]. Also, a PV fed self-adjusted DC-DC converter is designed and implemented for this purpose, and Aluminum anodes designed and manufactured for the sake of approving the proposed CP station operation. A field test shows enhanced results due to the National Association of Corrosion Engineering NACE standard. An edit has been made on the main empirical formula that is previously intended for the design of the same CP system. The proposed CP station is very flexible, more accurate, of lower cost, and needs little maintenance as compared with the already existing CP station.
Volume: 11
Issue: 1
Page: 275-283
Publish at: 2020-03-01

Electrical grid reliability assessment by fault tree analysis

10.11591/ijeecs.v17.i3.pp1127-1134
Ahmed Agwa , Zaky Matter , Ezzat Eisawy , Hamdy Hassan
The main rule of an electrical grid is to supply electrical energy to consumers as economically as possible, and with an adequate degree of reliability. Reliability is an essential measure and important component of all power system planning and operation procedures. In this paper, the electrical grid reliability is evaluated by Fault Tree (FT) analysis. In this method Alternating Current (AC) load flow analysis is combined with the FT technique. The electrical grid reliability is calculated based on the unreliability of the power supplied to the loads. The verification of the method is performed on a part of the Egyptian electrical grid (Alexandria zone 17-bus). The electrical grid components are sorted according to their influence on the electrical grid reliability.
Volume: 17
Issue: 3
Page: 1127-1134
Publish at: 2020-03-01

Voltage control of switched reluctance generator using grasshopper optimization algorithm

10.11591/ijpeds.v11.i1.pp75-85
Mohamed Bahy , Adel S. Nada , Sayed H. Elbanna , Mohamed A. M. Shanab
This paper presents a terminal voltage control approach of a Switched Reluctance Generator (SRG) based wind turbine generating systems. The control process is employed using a closed loop stimulated by the error between the reference voltage and the generator output voltage due to load and wind speed variation. This error feeds the tuned Proportional Integral controller (PI).Tuning of PI controller by conventional analysis methods is difficult by the existence of a significant non-linearity. A novel strategy method is presented here to determine optimum PI controller parameters of voltage control of SRG using Grasshopper Optimization Algorithm (GOA). This proposed approach is a simple and effective algorithm that is able to solve many optimization problems. The simplicity of algorithm provides high quality tuning of optimal PI controller parameters. The integral of time weighted squared error (ITSE) is used as the performance of the proposed GOA-PI controller. The effectiveness of the proposed strategy is tested with the three-phase 12/8 structure SRG. Outcomes indicate the supremacy of GOA over Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) in terms of control performance measures.
Volume: 11
Issue: 1
Page: 75-85
Publish at: 2020-03-01

The effect of short circuit fault in three-phase core-typed transformer

10.11591/ijpeds.v11.i1.pp409-416
N. F. M. Yasid , A. A. Alawady , M. F. M. Yousof , M. A. Talib , M. S. Kamarudin
Different techniques for monitoring the transformer condition are continuously discussed. This is due to the fact that transformers are one of the most expensive components in the power system network. Not to mention the cost to fix any failure occurred in the transformer that have becoming more expensive nowadays. Frequency response analysis (FRA) is found to be the best method to monitor the transformer reliability. This paper presents a continuation of study presented in previous paper [1]. The study performed a laboratory test to show that the response of a normal winding phase A can be affected by short circuit fault which occurred at LV winding phase a, b, and c. To further investigate, current paper performed FRA measurement and applied fault on all phases. The same procedure is repeated on a distribution transformer to verify the findings. This is to examine the effect of fault at winding of other phases to the response of measured phase.
Volume: 11
Issue: 1
Page: 409-416
Publish at: 2020-03-01

The fuzzy-PID based-pitch angle controller for small-scale wind turbine

10.11591/ijpeds.v11.i1.pp135-142
Quang-Vi Ngo , Chai Yi , Trong-Thang Nguyen
This paper aims to design the pitch angle control based on proportional–integral–derivative (PID) controller combined with fuzzy logic for small-scale wind turbine systems. In this control system, the pitch angle is controlled by the PID controller with their parameter is tuned by the fuzzy logic controller. This control system can compensate for the nonlinear characteristic of the pitch angle and wind speed. A comparison between the fuzzy-PID-controller with the conventional PID controller is carried out. The effectiveness of the method is determined by the simulation results of a small wind turbine using a permanent magnet generator (PMSG).
Volume: 11
Issue: 1
Page: 135-142
Publish at: 2020-03-01

Artificial neural network forecasting performance with missing value imputations

10.11591/ijai.v9.i1.pp33-39
Nur Haizum Abd Rahman , Muhammad Hisyam Lee
This paper presents time series forecasting method in order to achieve high accuracy performance. In this study, the modern time series approach with the presence of missing values problem is developed. The artificial neural networks (ANNs) is used to forecast the future values with the missing value imputations methods used known as average, normal ratio and also the modified method. The results are validated by using mean absolute error (MAE) and root mean square error (RMSE). The result shown that by considering the right method in missing values problems can improved artificial neural network forecast accuracy. It is proven in both MAE and RMSE measurements as forecast improved from 8.75 to 4.56 and from 10.57 to 5.85 respectively. Thus, this study suggests by understanding the problem in time series data can produce accurate forecast and the correct decision making can be produced.
Volume: 9
Issue: 1
Page: 33-39
Publish at: 2020-03-01

Accurate battery model parameter identification using heuristic optimization

10.11591/ijpeds.v11.i1.pp333-341
Mohd Afifi Jusoh , Muhamad Zalani Daud
This paper presents an accurate Lithium-ion battery model representation in Matlab/Simulink. The Tremblay's battery model was used as a BES model platform, where the determination of the model parameters was obtained based on heuristic optimization approach. This approach is simple but more accurate compared to the conventional method. In the classical method, it requires the user to manually select the battery model parameters from relevant points on the manufacturer discharge curves. However, this way of battery parameters extraction normally exposed to the human error and would easily result in an inaccurate selection of battery parameters for the BES simulation studies. Therefore, an easy and accurate approach using heuristic optimization for determining battery model parameters was introduced. The simulation studies utilized three different optimization algorithms for comparison purposes, i.e. 1) Particle Swarm Optimization (PSO), 2) Gravitational Search Algorithm (GSA), and 3) Genetic Algorithm (GA). The performance of BES model discharge accuracy with respect to the test data from three different algorithms was compared and the results showed that the GA approach gives the best results in terms of accuracy and execution time. Finally, the validated results of GA-optimized battery model showed the accuracy of 98% compared to the conventional approach.
Volume: 11
Issue: 1
Page: 333-341
Publish at: 2020-03-01

Intelligent fuzzy sliding mode controller based on FPGA for the speed control of a BLDC motor

10.11591/ijpeds.v11.i1.pp477-486
Arun Prasad K.M. , Usha Nair
Brushless DC (BLDC) motors are one of the most widely used motors for various industrial applications due to their high efficiency, high torque to weight ratio and elimination of mechanical commutator. These motors operate in wide range of speeds and necessitate precise speed control techniques, for their nonlinear model, insenseitive to parameter variations and external disturbances, when used in various sensitive applications. Conventional PI and other existing controllers produce high overshoot and increased rise time and settling time. The performance of BLDC motor is enhanced using a Fuzzy Sliding Mode Controller (FSMC) whose gain is intelligently varied with the help of a Fuzzy Inference System (FIS). For this purpose, a suitable FSMC is designed, simulated and implemented using FPGA. The simulation results are validated using Hardware in the loop (HIL) simulation as well as actual hardware implementation. Great improvement in the transient performance is achieved when compared to chatter free SMC, Fuzzy PI and conventional PI controller.
Volume: 11
Issue: 1
Page: 477-486
Publish at: 2020-03-01

Actuator fault detection and isolation for robot manipulator using higher order sliding mode observers

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20339
Khaoula Oulidi Omali , Mohammed Nabil Kabbaj , Mohammed Benbrahim
Fault detection and isolation (FDI) approach for actuator faults on a robot manipulator using a model-based FDI fault, which can occur on a specific component of the system. To detect actuator faults, higher order sliding mode Unknown Input Observers (UIO) are proposed to make analytical redundancy. The observers input laws are designed according to the so-called Super-Twisting Second Order Sliding Mode Control (SOSMC) approach and they are proved to be capable of guaranteeing the exponential convergence of the fault estimate to the actual fault signal. The proposed approach is verified in simulation on a robot manipulator.
Volume: 17
Issue: 3
Page: 1150-1156
Publish at: 2020-03-01
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