Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,456 Article Results

A new approach to extract reference currents for multilevel shunt active filter in three phase systems

10.11591/ijpeds.v11.i3.pp1459-1467
Abdelkader Yousfi , Tayeb Allaoui , Abdelkader Chaker
In this article, we present a new study of technique to extract reference currents for three-level shunt active filter controlling by fuzzy logic. The APFs is realized using three phase voltage and the carrier-based PWM strategy. A new technique for identifying reference currents will be developed. It is based on concordia method using multi-variable filter, and makes the total or selective extraction harmonic currents of references, and by consequence making their compensations, total or selective. The results of digital simulation in the Matlab-Simulink environment of a system of power to thyristor outputs on an inductive load show well the effectiveness of this new technique of extraction of the harmonics of reference. 
Volume: 11
Issue: 3
Page: 1459-1467
Publish at: 2020-09-01

Multi-machine transient stability by using static synchronous series compensator

10.11591/ijpeds.v11.i3.pp1249-1258
Nur Ashida Salim , Nur Diyana Shahirah Mohd Zain , Hasmaini Mohamad , Zuhaila Mat Yasin , Nur Fadilah Ab Aziz
Transient stability in power system is vital to be addressed due to large disturbances that could damage the system such as load changes and voltage increases. This paper presents a multi-machine transient stability using the Static Synchronous Series Compensator (SSSC). SSSC is a device that is connected in series with the power transmission line and produces controllable voltage which contribute to a better performance in the power system stability. As a result, this research has observed a comparison of the synchronization of a three-phase system during single-phase faults before and after installing the SSSC device. In addition, this research investigates the ability of three different types of controllers i.e. Proportional Integral (PI), Proportional Integral Derivation (PID), and Generic controllers to be added to the SSSC improve the transient stability as it cannot operate by itself. This is because the improvement is too small and not able to achieve the desired output. The task presented is to improve the synchronization of the system and time taken for the voltage to stabilize due to the fault. The simulation result shows that the SSSC with an additional controller can improve the stability of a multi-machine power system in a single phase fault.
Volume: 11
Issue: 3
Page: 1249-1258
Publish at: 2020-09-01

Designing of a generator for wave energy conversion for outdoor activities

10.11591/ijpeds.v11.i3.pp1415-1422
Noor Syazana Abd Ghani , Taib Ibrahim , Nursyarizal Mohd Nor
Wave energy is one of the renewable resources with high availability area of the wave across the world. However, the wave power density in Malaysia is smaller compared to other countries with progressive development in Wave Energy Converter (WEC), which leads to wave energy utilization to produce pico-scale power generation for the benefit of outdoor activities. Thus, this paper is presenting the modeling of a tubular longitudinal permanent magnet linear generator for wave energy conversion for outdoor activities. This research aims to design a pico-scale linear generator with 100 W output power utilizing wave energy. The design is also intended to be a portable design with a weight that less than 20 kg, which compatible with outdoor activities. The generator is proposed by designing the different shapes of permanent magnets with slotless configuration. The designs are simulated using the Finite Element Analysis (FEA) to obtain the performance of flux distribution, flux linkage, and back EMF performance.
Volume: 11
Issue: 3
Page: 1415-1422
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

Sensor/actuator fault tolerant sliding mode control for anti-lock braking in a quarter electric vehicle

10.11591/ijpeds.v11.i3.pp1220-1229
Bambang L. Widjiantoro , Katherin Indriawati
This paper proposes a scheme to improve regenerative ABS technology that already exists today by adding accommodation faults to the control system. The nominal control algorithm used is a sliding mode control so that system nonlinearities can be handled properly. The proposed method then is called sensor/actuator fault tolerant sliding mode control system. In designing the proposed control, there are two stages, namely estimation of faults, as well as the active mechanism for reconfiguring controls. Estimation of faults is done by using proportional-integral (PI) observers based on extended state space equation. Whereas the control signal reconfiguration is done actively by replacing measured output with their estimates and compensating for control signal using the actuator fault estimate. The simulation shows that the control system based on the proposed algorithm produces better dynamic performance than the sliding mode control (SMC) without fault tolerant feature. Furthermore, the system provides inherent characteristic for dealing with a minor fault in the hydraulic actuator.
Volume: 11
Issue: 3
Page: 1220-1229
Publish at: 2020-09-01

Reduction of single DC bus capacitance in photovoltaic cascaded multilevel converter

10.11591/ijpeds.v11.i3.pp1660-1674
Turki Kahawish Hassan
This paper presented single DC bus single phase seven level cascaded H-bridge (CHB) inverter for multi-panel photovoltaic grid-connected applications. A single DC bus supplying flyback converters to produce DC link voltages for CHB cells is suggested. A balanced operation of CHB inverter cells is obtained irrespective to power unbalance occurred by individual maximum power point tracking boost converter of photovoltaic (PV) panels due to the non-uniform irradiation and partial shading. A DC bus voltage control system with addition of estimated DC bus ripple voltage to the reference is proposed to eliminate the second order harmonic contained in the feedback voltage of DC bus enabling to design high bandwidth of DC voltage control loop. This produces fast dynamic response, low total harmonic distortion (THD) of grid current and smaller DC bus capacitance. Mathematical modeling of bus voltage control system is presented. PSIM simulation program is used and the simulation results are obtained to validate the proposed control system.
Volume: 11
Issue: 3
Page: 1660-1674
Publish at: 2020-09-01

Wireless power transfer system design for electric vehicle dynamic charging application

10.11591/ijpeds.v11.i3.pp1468-1480
Nguyen Thi Diep , Nguyen Kien Trung , Tran Trong Minh
This paper proposes and demonstrates a wireless power transfer system design for electric vehicle dynamic charging applications. The dynamic wireless charging (DWC) lane is designed for modularly. Each module has three shorttrack transmitter coils that are placed closely together and connected to a single inverter to reduce the number of inverters. The magnetic coupler design is analyzed and optimized by finite element analysis (FEA) to reduce the output power variation during dynamic charging. The LCC compensation circuit is designed according to the optimal load value to obtain maximum efficiency. The SIC devices are used to improve the efficiency of the high-frequency resonant inverter. A 1.5 kW dynamic charging system prototype is constructed. Experimental results show that the output power variation of 9.5% and the average efficiency of 89.5% are obtained in the moving condition.
Volume: 11
Issue: 3
Page: 1468-1480
Publish at: 2020-09-01

Effect analysis of residual magnetism availability level on the success of voltage generation processes in self-excited induction generators

10.11591/ijpeds.v11.i3.pp1211-1219
Refdinal Nazir , Syafii Syafii , Andi Pawawoi , Fajril Akbar , Yudi Arfan
The voltage generation process is a very crucial initial stage for the successful operation of the self-excited induction generator (SEIG). The availability of residual magnetism and the adequacy of excitation capacitor value are factors that determine the success of the voltage generation process on the SEIG. This paper analyzes the effect of the availability of residual magnetism on the rotor's magnetic core. With a simple approach, the terminal voltage on the SEIG can be solved through the intersection between the magnetization curve (Xm) and the excitation curve (Xce). The shape and equation of the magnetization curve will be affected by the availability of residual magnetism. The change in residual magnetism availability will cause a change in the intersection point between the magnetization curve (Xm) and the excitation curve (Xce), which will determine the value of voltage generated by the generator. In this study, Newton Rhapson's method with numerical iteration approach has been used to analyze the effect of changes in the availability of residual magnetism on the success of voltage generation on the SEIG. The analysis results have been shown that the availability of residual magnetism with residual voltage values below 1.04 Volt will cause the failure of the SEIG to generate the terminal voltage at its nominal value. Meanwhile, the availability of residual magnetism in SEIG with residual voltage values above 1.04 Volt, will succeed in generating terminal voltage at its nominal value. For SEIG used as the object of this study, the value of Eres = 1.04 Volt is a critical value of the availability of residual magnetism.
Volume: 11
Issue: 3
Page: 1211-1219
Publish at: 2020-09-01

Home appliances recommendation system based on weather information using combined modified k-means and elbow algorithms

10.11591/ijeecs.v19.i3.pp1635-1642
Basim Amer Jaafar , Methaq Talib Gaata , Mahdi Nsaif Jasim
The recommendation system is an intelligent system gives recommendations to users to discover the best interesting items. The purpose of this proposed recommendation system is to develop a system to find the best electrical devices according to weather conditions and user preferences. The proposed solution relies on the characteristics of electrical appliances and their suitability to weather conditions in any city. The proposed solution is the first recommendation system combines devices properties, weather conditions, and user preferences using a new combination of algorithms. The clustering algorithms are the most applicable in the field of recommendation system. The proposed solution relies on a combination of Elbow method, pro­­posed modified K-means and Silhouette algorithm to find the best number of clusters before starting the clustering process. Then calculate the weights for each cluster and compare them with the weather weights to find the required clusters sorted from the near to far according to a computed threshold. The empirical results showed that the proposed solution demonstrated a 94% accuracy to match the characteristics of the recommended devices with the climatic characteristics of the region and user preferences. The accuracy is measured using Silhouette algorithm.
Volume: 19
Issue: 3
Page: 1635-1642
Publish at: 2020-09-01

Design and implementation of an optimized multilevel power inverter structure based on C MEX and PSPICE

10.11591/ijpeds.v11.i3.pp1388-1397
Mohammed Setti , Mohamed Cherkaoui
In this paper, both symmetric and asymmetric operations for an optimized cascaded multilevel power inverter (MLI) are thoroughly examined. While symmetric configurations are more suitable for AC drives due to their equal power sharing among the various levels, the asymmetric topologies fulfill the higher number of power source combinations under the same power semiconductor switch count. Additionally, particular attention was put on the design of this optimized topology in terms of both reliability and power efficiency by managing redundant states and minimizing the number of power switch commutations. Furthermore, a fundamental switching frequency modulation (FSFM) is thoroughly described in C MEX programming language and then the resulting gating signals are fed into the power circuit designed with PSPICE. By applying this co-simulation approach, the control design task is greatly simplified while achieving advanced analyses with more realistic electronic devices.
Volume: 11
Issue: 3
Page: 1388-1397
Publish at: 2020-09-01

Induction motor rotor bars type effects towards energy efficiency, economic and environment

10.11591/ijpeds.v11.i3.pp1188-1196
Yanawati Yahya , Mohd Khairil Rahmat
Nowadays, the rotating motor is the most demoralized machine for the global Motor industry. Comfort of practice, start-up, small, weightiness, Increased efficiency, low maintenance and inexpensive for each power rating that generally meets the necessary features for industries. Efficient improvements are inspected with copper for the rotor bars slot. Usually, the copper loss in the induction motor Rotor division contributes to the loss of energy. The research work was planned a new rotor design, by improved rotor bars type slot, size and design. These tasks were inspected using two approaches, in particular, MotorSolve (IM) and calculations in theory. One set of simulation has shown a significant increase in energy efficiency for a new rotor frame design. Calculations in theory are used MATLAB. As a result, these new designs have improved energy efficiency by 77% as compared to its 74% existing design. The results proved to be using MATLAB. For energy, cost savings and emission reduction (ER), new design rotor frame has been saved 154KWH/year, utility bill RM 60.20/Year and 0.113 CO2 tons/years intended for individually motor. Finally, the estimated cost aimed at 100,000 pieces of new rotor bars pattern induction motor and indicates this price was kept almost RM6 million.
Volume: 11
Issue: 3
Page: 1188-1196
Publish at: 2020-09-01

Comparison of CNNs and SVM for voice control wheelchair

10.11591/ijai.v9.i3.pp387-393
Mohammad Shahrul Izham Sharifuddin , Sharifalillah Nordin , Azliza Mohd Ali
In this paper, we develop an intelligent wheelchair using CNNs and SVM voice recognition methods. The data is collected from Google and some of them are self-recorded. There are four types of data to be recognized which are go, left, right, and stop. Voice data are extracted using MFCC feature extraction technique. CNNs and SVM are then used to classify and recognize the voice data. The motor driver is embedded in Raspberry PI 3B+  to control the movement of the wheelchair prototype. CNNs produced higher accuracy i.e. 95.30% compared to SVM which is only 72.39%. On the other hand, SVM only took 8.21 seconds while CNNs took 250.03 seconds to execute. Therefore, CNNs produce better result because noise are filtered in the feature extraction layer before classified in the classification layer. However, CNNs took longer time due to the complexity of the networks and the less complexity implementation in SVM give shorter processing time.
Volume: 9
Issue: 3
Page: 387-393
Publish at: 2020-09-01

The enhancement of power quality for the distribution system via dynamic voltage restorer

10.11591/ijpeds.v11.i3.pp1588-1595
Ali Basim Mohammed , Mohd Aifaa Mohd Ariff
This paper represents a new configuration of the dynamic voltage restorer consists of approximate classical sliding mode differentiator (ACSMD) with the terminal sliding mode controller (TSMC) as the nonlinear sliding variable. In this study, the proposed structure of the DVR is utilized to maintain the magnitude of the load voltage at a constant value, maintain the system total harmonic distortion (THD), boost the robustness property and minimize the steady-state error. The power quality has received more interest due to the implementation of various industrial devices and critical loads at the distribution side. Nowadays, the main challenges in power quality in the system are voltage sags/swells, harmonics and voltage imbalance. Various devices are utilized to address these challenges. The dynamic voltage restorer is one of these devices. It is connected in series with the distribution system and injects a proper voltage magnitude to maintain the voltage load at the constant value. In this paper, the DVR model with the ASMF and TSMC is implemented in using MATLAB/Simulink. The proposed controller is evaluated using the standard voltage sag indices.
Volume: 11
Issue: 3
Page: 1588-1595
Publish at: 2020-09-01

Implementation of SVM for five-level cascaded H-Bridge multilevel inverters utilizing FPGA

10.11591/ijpeds.v11.i3.pp1132-1144
Maher Abd Ibrahim Al jewari , Auzani Jidin , Siti Azura Ahmad Tarusan , Mohammed Rasheed
The Space Vector Modulation SVM technique has won large acceptance for AC drive applications. However the utilization of multilevel inverters connected with SVM by Digital signal processor (DSP) raise the intricacy of control algorithm or computational load, increases of the obtaining distortions output voltage. The development of SVM in multilevel inverters may offer higher numbers of switching vectors for acquiring further enhancements of output voltage performances and implement by using Field Programmer Gate Array (FPGA), investigate lower Total Hormonic Distortion (THD). This paper reports the performance evaluation of SVM for five-level of Cascaded H-Bridge Multilevel Inverter CHMI using MATLAB/Simulink, which is sampled at the minimum sampling time, i.e. DT = 5 μs. The switching signals for driving insulated gate bipolar transistor (IGBTs) which are stored in MATLAB workspaces, are then used to be programmed in FPGA using a Quartus II software. Which can be stated the lower THD of the simulation result is about 14.48% for five-level CHMI and experiment result is about 14.31% for five-level CHMI at modulation index M_i=0.9. The error percentage between the simulation results and experimental results of the fundamental output voltage in SVM is small which is approximately less than 1 %.
Volume: 11
Issue: 3
Page: 1132-1144
Publish at: 2020-09-01

Theoretical and experimental analysis of photovoltaic module characteristics under different partial shading conditions

10.11591/ijpeds.v11.i3.pp1508-1518
Ali Hussein Numan , Zahraa Salman Dawood , Hashim A. Hussein
Recently, the renewable energy resources have gained more attention in the electricity sector as promising technology to tackle the depletion in the traditional energy resources. Solar energy grows rapidly due to its vast applications. The performance of Photovoltaic (PV) system is affected by partial shading that results from building, clouds, and fallen leaves. This paper investigates theoretically and experimentally the impacts of various cases of partial shading; such as vertical string, horizontal string, and single cell at environmental conditions on the current-voltage and power-voltage characteristics of 88 W PV panel. In addition, diagonal shading with multi steps is considered in the analysis. The experiments are conducted with considering various parameters; such as shading position and ratio to validate the simulated results. The results show that at 100% shading condition, the maximum power drops by 99.36 %, 43.7%, and 41.15% for horizontal, cellular and vertical shading at the same solar radiation level comparing with their initial state value. Horizontal string shaded has the highest negative impact on the power and efficiency among other types of shadings. The comparison between the theoretical and experimental results reveals considerable agreement between the theoretical and experimental results.
Volume: 11
Issue: 3
Page: 1508-1518
Publish at: 2020-09-01
1 2 3
...
2097 2098
Show 1183 of 2098

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration