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29,922 Article Results

Optimization of SHEPWM cascaded multilevel inverter switching patterns

10.11591/ijpeds.v11.i3.pp1570-1578
Ayong Hiendro , Ismail Yusuf , Junaidi Junaidi , Trias Pontia Wigyarianto , Yohannes M Simanjuntak
Selective harmonic elimination (SHE) is an efficient method to eliminate low-order selected harmonics. However, due to nonlinearity in the problems, many optimization techniques give unsatisfied performances in finding optimum switching angles for the SHE. This paper proposes a modified moth-flame optimization algorithm to eliminate selective harmonics in cascaded multilevel inverters. The optimization algorithm is employed to find sets of optimum switching angles for cascaded 5-level, 7-level, and 9-level inverters. The results have shown that modified moth-flame optimization is beneficial in finding optimum switching angles. It performs better than moth-flame optimization (MFO) and differential evolution (DE) algorithms. The optimum switching angles are applied to generate switching pulses for a cascaded 9-level inverter to demonstrate the algorithm’s accuracy. As a result, the low-order harmonics are entirely removed from the ac output voltage of the inverter.
Volume: 11
Issue: 3
Page: 1570-1578
Publish at: 2020-09-01

Nonlinear control of GTI for stabilizing future smart grids

10.11591/ijpeds.v11.i3.pp1268-1277
Salam Ibrahim Khather
The most important components of the distributed generation frameworks is the GTIs which is an interface amidst the utility and the source of energy. The recent years have seen an increased interest in the design and usage of GTIs due to its smaller weight and size, low cost and higher efficiency. But the problem of leakage currents in the transformerless inverter that is dependant on its topology and control scheme needs to be looked into carefully. Also, the high performance of the GTI requires a stringent control and various control systems are being developed and applied to the GTIs. This paper reviews the various topologies that are classified based on the attributes of the leakage current and the method of decoupling. Further it reviews and compares the different control techniques applied to the GTIs with respect to the frame of reference, controller, modulation technique and the control parameters considered.
Volume: 11
Issue: 3
Page: 1268-1277
Publish at: 2020-09-01

THD performance of single phase five level inverter using proportional resonant and harmonic compensators current controller

10.11591/ijpeds.v11.i3.pp1423-1429
Abdullahi Mohamed , Suriana Salimin
This paper observe the total harmonic distortion (THD) performance of single phase five level inverter using proportional resonant (PR) and harmonic compensators current controller. The THD when adding PR current controller was 1.6% at first. After more functions were added to the PR current controller to reduce the THD at the 3rd, 5th and 7th harmonic orders, the THD of the 3rd harmonic order was reduced from 0.45% to 0.1% while the 5th and 7th harmonic orders were reduced from 0.6% and 0.43% to 0.25% and 0.4% respectively. The development and simulation is performed using Matlab/Simulink. The simulation result is performed by using Fast Fourier Transform analysis (FFT) for the harmonics captured.
Volume: 11
Issue: 3
Page: 1423-1429
Publish at: 2020-09-01

High-speed video observations on fork lightning events in Malaysia

10.11591/ijeecs.v19.i3.pp1620-1625
Nor Asrina Binti Ramlee , N. A. Ahmad , Z. A. Baharudin , A. R. Mohamed
Malaysia is one of the countries with the highest lightning strikes incidence in the world. Yet, Malaysians are still taking a proper lightning protection indifferent manner. This might be due to lack of knowledge on lightning characteristics in Malaysia. Therefore, this study presents an unusual lightning phenomenon with multiple grounding points that might cause a disastrous event, called fork lightning. Between November and December 2018, there were three different patterns of fork lightning mechanism successfully recorded by using high speed camera with 2800 frame per second. Temporal analysis of the lightning progress had been done on the samples based only on the camera records which then played back by using Wondershare Filmora video editor. These three samples of fork lightning images were acquired among 37 lightning events recorded in this study. The first sample of fork lightning fully established the forked branch 0.35 ms before the return stroke occurred. On the contrary, second fork lightning established its forked branch 0.35 ms after the return stroke. Both forked branches for third sample simultaneously fully established with the return stroke event. Obviously, these events had striking the ground in up to ten milliseconds of time duration. Thus, there is always a possibility that they might cause serious damage and should not be neglected in designing a lightning protection system.
Volume: 19
Issue: 3
Page: 1620-1625
Publish at: 2020-09-01

Net energy metering scheme based on time of use pricing for residents in Malaysia

10.11591/ijeecs.v19.i3.pp1140-1146
Abdul Hafiz Bin Razali
The current Malaysia’s net energy metering (NEM) scheme has been updated in 2019 that credits excess generation into the next billing month at retail rate compare to at displaced cost. The new NEM may attract more installation of solar photovoltaic (PV) system among residential customers. However, it is discovered that customers with low monthly electricity consumptions are still not benefited since their electricity cost is lower than the PV generation cost. Implementing time-of-use (TOU) pricing on NEM scheme may overcome the problem as it based on hourly energy usage. This paper compares the annualized energy cost of residential PV system under different TOU prices and NEM scheme. The results show that an optimized TOU prices as suggested in this paper may give financial benefits to all residential customers with PV system, including the one with low monthly consumption.
Volume: 19
Issue: 3
Page: 1140-1146
Publish at: 2020-09-01

Machine learning building price prediction with green building determinant

10.11591/ijai.v9.i3.pp379-386
Thuraiya Mohd , Syafiqah Jamil , Suraya Masrom
In the era of Industrial 4.0, many urgent issues in the industries can be effectively solved with artificial intelligence techniques, including machine learning. Designing an effective machine learning model for prediction and classification problems is an ongoing endeavor. Besides that, time and expertise are important factors that are needed to tailor the model to a specific issue, such as the green building housing issue. Green building is known as a potential approach to increase the efficiency of the building. To the best of our knowledge, there is still no implementation of machine learning model on GB valuation factors for building price prediction compared to conventional building development. This paper provides a report of an empirical study that model building price prediction based on green building and other common determinants. The experiments used five common machine learning algorithms namely Linear Regression, Decision Tree, Random Forest, Ridge and Lasso tested on a set of real building datasets that covered Kuala Lumpur District, Malaysia. The result showed that the Random Forest algorithm outperforms the other four algorithms on the tested dataset and the green building determinant has contributed some promising effects to the model.
Volume: 9
Issue: 3
Page: 379-386
Publish at: 2020-09-01

Wireless power and data transfer through carbon composite using a common inductive link

10.11591/ijpeds.v11.i3.pp1441-1448
Tuan Anh Vu , Chi Van Pham , William Tran , Anh-Vu Pham , Christopher S. Gardner
This paper presents the design and development of an integrated wireless power transfer and data communication system. The power and data transfer share a common inductive link that consists of two identical Helical coils placed on both sides of a carbon composite barrier. Power and data are transferred simultaneously through a 5-mm thick carbon composite barrier without any physical penetration or contact. Power transfer measurements show that the system can deliver 9.7 AC power to the receiving coil with a power transfer efficiency of 36% through the carbon composite barrier. The system achieves a bidirectional half-duplex data communication with the data rate of unit 1.2kbit/s.
Volume: 11
Issue: 3
Page: 1441-1448
Publish at: 2020-09-01

Impact of field roughness and power losses, turbulence intensity on electricity production for an onshore wind farm

10.11591/ijpeds.v11.i3.pp1519-1526
Bedri Dragusha , Bukurije Hoxha
When designing a power generation project from a different source, and in our case study, wind, when calculating the annual energy produced, it is necessary to define and calculate the losses incurred in the system.  The main cause of losses in a wind park is due to the oscillations caused by the turbulence of the air around the turbine because of roughness of terrain. The paper describes two methods of estimating turbulence intensity: one based on the mean and standard deviation (SD) of wind speed from the nacelle anemometer, the other from mean power output and its SD. These analyses are very important for understanding the fatigue and mechanical stress on the wind turbines. Then significance of the site ruggedness index (RIX) and the associated performance indicator (ΔRIX) are confirmed for terrain and the consequences of applying WAsP outside its operating envelope are quantified.
Volume: 11
Issue: 3
Page: 1519-1526
Publish at: 2020-09-01

Age-based facial recognition using convoluted neural network deep learning algorithm

10.11591/ijai.v9.i3.pp424-428
Julius Yong Wu Jien , Aslina Baharum , Shaliza Hayati A. Wahab , Nordin Saad , Muhammad Omar , Noorsidi Aizuddin Mat Noor
Face recognition is the use of biometric innovations that can see or validate a person by seeing and investigating designs depending on the shape of the individual. Face recognition is used largely for the purpose of well-being, despite the fact that passion for different areas of use is growing. Overall, face recognition innovations are worth considering because they have the potential for broad legal jurisdiction and different business applications. It is widely used in many spaces. How it works is a product of facial recognition processing facial geometry. The hole between the ear and the good way from the front to the jaw are the main variables. This code distinguishes the highlight of the face that is important for your facial separation and creates your facial expression. Therefore, this study gives an overview of age detection using a different combination of machine learning and image processing methods on the image dataset.
Volume: 9
Issue: 3
Page: 424-428
Publish at: 2020-09-01

Comparison between SVM and KNN classifiers for iris recognition using a new unsupervised neural approach in segmentation

10.11591/ijai.v9.i3.pp429-438
Hicham Ohmaid , S. Eddarouich , A. Bourouhou , M. Timouya
Un système biométrique d'identification et d'authentification permet la reconnaissance automatique d'un individu en fonction de certaines caractéristiques ou caractéristiques uniques qu'il possède. La reconnaissance de l'iris est une méthode d'identification biométrique qui applique la reconnaissance des formes aux images de l'iris. En raison des motifs épigénétiques uniques de l'iris, la reconnaissance de l'iris est considérée comme l'une des méthodes les plus précises dans le domaine de l'identification biométrique. L'algorithme de segmentation proposé dans cet article commence par déterminer les régions de l'œil à l'aide d'une approche neuronale non supervisée, après que le contour de l'œil a été trouvé à l'aide du bord de Canny, la transformation de Hough est utilisée pour déterminer le centre et le rayon de la pupille et de l'iris. . Ensuite, la normalisation permet de transformer la région de l'iris circulaire segmenté en une forme rectangulaire de taille fixe en utilisant le modèle de feuille de caoutchouc de Daugman. Une transformation en ondelettes discrètes (DWT) est appliquée à l'iris normalisé pour réduire la taille des modèles d'iris et améliorer la précision du classificateur. Enfin, la base de données URIBIS iris est utilisée pour la vérification individuelle de l'utilisateur en utilisant le classificateur KNN ou la machine à vecteur de support (SVM) qui, sur la base de l'analyse du code de l'iris lors de l'extraction des caractéristiques, est discutée.
Volume: 9
Issue: 3
Page: 429-438
Publish at: 2020-09-01

Grey wolf optimizer algorithm based real time implementation of PIDDTC and FDTC of PMSM

10.11591/ijpeds.v11.i3.pp1640-1652
Osama M. Arafa , Said A. Wahsh , Mohamed Badr , Amir Yassin
Meta-heuristic optimization techniques are important tools to define the optimal solutions for many problems. In this paper, a new advanced artificial intelligence (AI) based direct torque control (DTC) speed drives are optimally designed and implemented in real time to achieve a high performance permanent-magnet synchronous-motor (PMSM) drive. Grey wolf (GW) algorithms are used with the standard PID-based DTC (PIDDTC) and with the DTC with fuzzy logic (FDTC) based speed controllers. DSPACE DS1202 is utilized in the real-time implementation. MATLAB SIMULINK is used to simulate the steady-state (S.S.) and dynamic responses. The overall system is tested at different operating conditions for both simulation and practical work and all results are presented. A comparison between experimental and simulation results is performed and also a comparison between different applied intelligent techniques is introduced.
Volume: 11
Issue: 3
Page: 1640-1652
Publish at: 2020-09-01

Enhancing advance encryption standard security based on dual dynamic XOR table and MixColumns transformation

10.11591/ijeecs.v19.i3.pp1574-1581
Adnan Ibrahem Salih , Ashwaq Mahmood Alabaichi , Ammar Yaseen Tuama
An efficient approach to secure information is critically needed at present. Cryptography remains the best approach to achieve security. On this basis, the national institute of standards and technology (NIST) selected Rijndael, which is a symmetric block cipher, as the advanced encryption standard (AES). The MixColumns transformation of this cipher is the most important function within the linear unit and the major source of diffusion. Dynamic MixColumns transformation can be used to enhance the AES security. In this study, a method to enhance the AES security is developed on the basis of two methods. The first method is an extension of a previous study entitled “A novel Approach for Enhancing Security of Advance Encryption Standard using Private XOR Table and 3D chaotic regarding to Software quality Factor.” In the current study, the fixed XOR operation in AES rounds is replaced with a dual dynamic XOR table by using a 3D chaotic map. The dual dynamic XOR table is based on 4 bits; one is used for even rounds, and the other is used for odd rounds. The second method is dynamic MixColumns transformation, where the maximum distance separable (MDS) matrix of the MixColumns transformation, which is fixed and public in every round, is changed with a dynamic MDS matrix, which is private, by using a 3D chaotic map. A 3D chaotic map is used to generate secret keys. These replacements enhance the AES security, particularly the resistance against attacks. Diehard and NIST tests, entropy, correlation coefficient, and histogram are used for security analysis of the proposed method. C++ is used to implement the proposed and original algorithms. MATLAB and LINX are used for the security analysis. Results show that the proposed method is better than the original AES.
Volume: 19
Issue: 3
Page: 1574-1581
Publish at: 2020-09-01

Modeling of single phase off-grid inverter for small standalone system applications

10.11591/ijpeds.v11.i3.pp1398-1405
Rodney H.G. Tan , Chong Boon Chuin , Sunil Govinda Solanki
This paper presents the detail circuitry modeling of single phase off-grid inverter for small standalone system applications. The entire model is developed in MATLAB/Simulink platform using circuitry model. This off grid inverter consists of a high frequency DC-DC step up converter cascaded with a full bridge PI control voltage source inverter using SPWM modulation with LC filter to produce sine wave output. This is a common design used in many small commercial off-grid inverter. This off-grid inverter model is capable to produce AC sinewave output voltage at 230 V 50 Hz up to 1 kW power from a 48 V DC lead acid battery source. The AC sine wave output waveform achieved a voltage Total Harmonic Distortion (THD) of less than 1 % which is almost a pure sine wave. The conversion efficiency performance of the off-grid inverter achieved more than 94 %. The performance of the model is validated by real commercial off-grid inverter. The performance validation experiment shows that the off-grid inverter Simulink model conversion efficiency and THD performance are comparable to the commercial off-grid inverter. This model contributes to assist small to medium standalone system load and battery sizing design with greater accuracy.
Volume: 11
Issue: 3
Page: 1398-1405
Publish at: 2020-09-01

Grid connected photovoltaic system efficiency and quality improvement using fuzzy-incond MPPT

10.11591/ijpeds.v11.i3.pp1536-1546
Amara Yasmine , Bradai Rafik , Boukenoui Rachid , Mellit Adel
Maximum Power Point Tracking (MPPT) techniques are developed to harvest and supply maximum power to the load. This depends on the power generated and the MPPT accuracy. Under quick-changing weather conditions, Incremental Conductance (InCond) and numerous different algorithms may fail to track the exact Maximum Power Point (MPP) which may result in significant power loss. Fuzzy Logic (FL) based MPPT is quick and accurate in tracking the MPP, but the high complexity and the implementation difficulty are their main disadvantages. A novel FL-InCond MPPT improved technique is developed based on the features of InCond and FL techniques to overcome their drawbacks.The newly developed approach can automatically adjust the variation of the duty cycle for tracking the MPP with accuracy. The obtained results are compared with conventional Perturb and observe (P&O) and InCond MPPTs for grid-connected mode under fast weather conditions. It is demonstrated that the developed method outperforms the aforementioned MPPT techniques in terms of tracking response, efficiency and the delivered current quality.
Volume: 11
Issue: 3
Page: 1536-1546
Publish at: 2020-09-01

Simultaneous placement of FACTS devices using cuckoo search algorithm

10.11591/ijpeds.v11.i3.pp1344-1349
Basanagouda N. Patil , S. B. Karajgi
The power system deregulation requires thechange in reactive power compensation in the power system. The optimal placement of FACTs (Flexi ble AC transmission system) devices is mandatory to recalculate the reactive power compensation in deregulation case. The FACTs devices generally used in series and shunt conections. Here the various facts devices connected in series & shunt combination simultaneously. The optimal placement and sizing of the devices are done in this paper by formulating the objective function with minimization of cost of the generation and minimizing the cost of Facts devices. MALAB is used for writing the code. IEEE 14 bus system is used to here for testing the system. Placing the FACTs separately and simultaneously are studied in case study. Cuckoo search algorithm is used to identify the solution to the optimization problem.
Volume: 11
Issue: 3
Page: 1344-1349
Publish at: 2020-09-01
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