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31,456 Article Results

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

Closed loop control of DC-DC converters using PID and FOPID controllers

10.11591/ijpeds.v11.i3.pp1323-1332
Aseem K , Selva Kumar S
Fractional order controllers are nowadays used in various power electronic converters as it is giving superior control performance compared with conventional PID controllers. This paper presents the closed loop control of different DC-DC converters using PID controllers and Fractional Order PID (FOPID) controllers. The closed loop control of the basic converters such as buck, boost, buck-boost converters and dual input single output DC-DC converters were designed, modeled and analyzed using conventional PID controller and FOPID controllers. The performance of the controllers are compared in terms of the different time domain specifications like overshoot, rise time, settling time, etc. and simulated in MATLAB Simulink platform. For all types of the DC-DC converters, FOPID controller gives far better performance compared with conventional PID controllers.
Volume: 11
Issue: 3
Page: 1323-1332
Publish at: 2020-09-01

An automatic multi-axis solar tracking system in Ramadi city: design and implementation

10.11591/ijeecs.v19.i3.pp1126-1234
Mustafa Hamid AL-Jumaili , Hussein M Haglan , Mohammed K Mohammed , Qusay H Eesee
In this paper, a complete design and implementation of an automatic multi-axis solar tracking system has been introduced. The main purpose of this system is to track sun location and gain the maximum energy output of the solar panels. The system is Multi-axis using microcontroller and photocells to control the direction of the penal, whereas the penal is facing the sun at all times of the day. The system is a combination of hardware and software parts that work concurrently to achieve a precise angular Sun tracking. A base, penal frame, super jack motors, high-efficiency solar panel, arduino uno microcontroller, relays, rechargeable battery, light dependent resistor (LDR) have been used for the system’s hardware part. These hardware parts need a high-level programming code, as a software part, to be embedded in the microcontroller to get an effective and precise solar tracking system. The results of the presented system were compared to a fixed direction system. The results show significant efficiency improvement of 24% over the static one. For a city like Ramadi, which has a high irradiance all over the year, it is very fruitful to use such tracking systems along with photovoltaic installation systems. 
Volume: 19
Issue: 3
Page: 1126-1234
Publish at: 2020-09-01

Electric field bridging pattern of pre-breakdown and breakdown condition in transformer oil

10.11591/ijeecs.v19.i3.pp1210-1218
Nur Badariah Ahmad Mustafa , N H Nik Ali , H. Zainuddin , Marizuana Mat Daud , Farah Hani Nordin
Transformer is considered as one of the most important equipment in electrical power system networks. However, most problems occurred in transformer were related to the defects and weakness of the insulation systems. The oils used in transformer act as coolant and insulation purposes hence maintaining the dielectric strength of the transformer. In this work, electric field bridging pattern is observed from pre-breakdown and breakdown condition. The electric field bridging formation was recorded in the experimental setup and images were captured per frame. 193 images were randomly chosen from the whole video frames where 102 images were the pre-breakdown images and 91 images were the breakdown images. This system comprises of four stages: (i) a preprocessing stage to mark the electrodes tips and background subtraction; (ii) a segmentation stage to extract the electric field bridging formation in region of interest; (iii) a feature extraction stage to extract electric field bridging using feature descriptors, area, minor-axis and major-axis length   (iv) a classification stage to identify the pre-breakdown and breakdown condition. System performance was evaluated using support vector machine (SVM), k-nearest neighbour (k-NN) and random forest (RF) and SVM provided the most promising accuracy that was 99%. The results show that the combination of three feature descriptors, area, minor-axis and major-axis length are the best features combination in identifying the transformer oil condition. In future work, further studies will be conducted to investigate the pattern of pre- and post-breakdown due to some similarity found in image pattern. Due to that, more feature descriptors will be identified to find a unique pattern between pre- and post-breakdown condition
Volume: 19
Issue: 3
Page: 1210-1218
Publish at: 2020-09-01

Modeling, simulation and control of a doubly-fed induction generator for wind energy conversion systems

10.11591/ijpeds.v11.i3.pp1197-1210
Boumerid Bensahila Med El Amine , Allali Ahmed , Merabet Boulouiha Houari , Denai Mouloud
In recent years, wind energy has become one of the most promising renewable energy sources. Various wind turbine concepts with different generator topologies have been developed to convert this abundant energy into electric power. The doubly-fed induction generator (DFIG) is currently the most common type of generator used in wind farms. Usually the DFIG generator is a wound rotor induction machine, where the stator circuit is directly connected to grid while the rotor’s winding is connected to the grid via a three-phase converter. This paper describes an approach for the independent control of the active and reactive powers of the variable-speed DFIG. The simulation model including a 1.5 MW-DFIG driven by a wind turbine, a PWM back-to-back inverter and the proposed control strategy are developed and implemented using MATLAB/Simulink/SimPowerSystems environment.
Volume: 11
Issue: 3
Page: 1197-1210
Publish at: 2020-09-01

Voltage profile and power quality improvement in photovoltaic farms integrated medium voltage grid using dynamic voltage restorer

10.11591/ijpeds.v11.i3.pp1481-1490
Abdelkrim Benali , Mounir Khiat , Mouloud Denai
In this paper, we have presented a simulation study to analyze the power quality of three phases medium voltage grid connected with distribution generation (DG) such as photovoltaic (PV) farms and its control schemes. The system uses two-stage energy conversion topology composed of a DC to DC boost converter for the extraction of maximum power available from the solar PV system based on incremental inductance technique and a three-level voltage source inverter (VSI) to connect PV farm to the power grid. To maintain the grid voltage and frequency within tolerance following disturbances such as voltage swells and sags, a fuzzy logic-based Dynamic Voltage Restorer is proposed. The role of the DVR is to protect critical loads from disturbances coming from the network. Different fault conditions scenarios are tested and the results such as voltage stability, real and reactive powers, current and power factor at the point of common coupling (PCC) are compared with and without the DVR system.
Volume: 11
Issue: 3
Page: 1481-1490
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

Adaptive dynamic programing based optimal control for a robot manipulator

10.11591/ijpeds.v11.i3.pp1123-1131
Dao Phuong Nam , Nguyen Hong Quang , Tran Phuong Nam , Tran Thi Hai Yen
In this paper, the optimal control problem of a nonlinear robot manipulator in absence of holonomic constraint force based on the point of view of adaptive dynamic programming (ADP) is presented. To begin with, the manipulator was intervened by exact linearization. Then the framework of ADP and Robust Integral of the Sign of the Error (RISE) was developed. The ADP algorithm employs Neural Network technique to tune simultaneously the actor-critic network to approximate the control policy and the cost function, respectively. The convergence of weight as well as position tracking control problem was considered by theoretical analysis. Finally, the numerical example is considered to illustrate the effectiveness of proposed control design. 
Volume: 11
Issue: 3
Page: 1123-1131
Publish at: 2020-09-01

Phase to phase fault detection of 3-phase induction motor using FRA technique

10.11591/ijpeds.v11.i3.pp1241-1248
A. A. Alawady , M. F. M. Yousof , N. Azis , M. A. Talib
The purpose for preparing this paper is to innovate a new method to detection and diagnosis the three-phase induction motor electrical failures, especially the failures that occur in Stator winding. Stator winding breakdown largely contributes to induction motor failures. To understand internal fault in induction motors winding, four cases studies of different three-phase induction motors (TPIM) were analysed according to two conditions: normal winding condition and windings shorted between two phases. In this paper, the measurement of frequency response analysis (FRA) on the stator winding with inter-phase short is presented. Additionally, Frequency Response Analysis (FRA) interpretation technique classify and quantify the fault is also proposed. For interpretation of the FRA, a statistical indicator, which is NCEPRI algorithm is used for comparison the measured responses.
Volume: 11
Issue: 3
Page: 1241-1248
Publish at: 2020-09-01

Implementation of combined new optimal cuckoo algorithm with a gray wolf algorithm to solve unconstrained optimization nonlinear problems

10.11591/ijeecs.v19.i3.pp1582-1589
Ali Abbas Al-Arabo , Rana Zaidan Alkawaz
In this article, a combined optimization algorithm was proposed which combines the optimal adaptive cuckoo algorithm (OACS) which is Nature-inspired algorithm with gray wolf optimizer algorithm (GWO). Sometimes considering the cuckoo algorithm alone, may fail to find the local minimum-point and also fails to reach to the solution because of the slow speed of its convergence property. Therefore, considering the new proposed adaptive combined algorithm gave a strong improvement for using this to reach the minimum point in solving (23) nonlinear test problems. This is suitable to solve a large number of nonlinear unconstraint optimization test functions with obtaining good and robust numerical results.
Volume: 19
Issue: 3
Page: 1582-1589
Publish at: 2020-09-01

Optimal planning of hybrid photovoltaic/battery/diesel generator in ship power system

10.11591/ijpeds.v11.i3.pp1527-1535
Abba Lawan Bukar , Chee Wei Tan , Kwan Yiew Lau , Ahmed Tijjani Dahiru
In line with the increasing concern on the pollution release by marine ships, renewable energy technologies in ships power system has received so much attention. Recently, photovoltaic (PV) and energy storage system (ESS) are been integrated into conventional diesel generator in ships power system Nevertheless, improper sizing of the overall ship power station will result in a high investment cost and increase CO2 emission. This paper devised a methodology to compute the optimal size of the ESS, PV and diesel generator in a ship power system to minimize CO2 emission, fuel cost, and investment cost. It is a well-known fact that power generation in a sailing ship depend on the time zone, local time, date, latitude, and longitude along ship navigation route and the condition of the ship power system also differs from power systems on land. The devised method in this paper takes into accounts the geographical and season variation of solar insolation along the route from Lagos (Nigeria) to Conakry (Guinea) and accurately model the power output of PV modules is along the route.
Volume: 11
Issue: 3
Page: 1527-1535
Publish at: 2020-09-01

Comparative performance of a solar assisted heat pump dryer with a heat pump dryer for Curcuma

10.11591/ijpeds.v11.i3.pp1617-1627
R. Hasibuan , M Yahya , H. Fahmi , Edison Edison
This study evaluated the performances of solar assisted heat pump dryer (SAHPD) and heat pump dryer (HPD) for drying of Curcuma xanthorrhiza Roxb. The HPD and SAHPD reduced mass of Curcuma from 30.70 kg to 7.85 kg needed 10.5 hours and 8 hours with average temperature and relative humidity 49.2oC and 26.5%, and 57.7oC and 19.8%, for SD and SAHPD respectively. The moisture of Curcuma dried from 3.167 db to 0.065 db with an air mass flow rate of 0.121 kg/s. The SAHPD reduced the drying time about 24% compared to HPD. The drying rate and the specific energy consumption were calculated in an average 1.05 kg/h and 1.36kg/h, and 1.17kWh/kg and 2.07kWh/kg for HPD and SAHPD, respectively. The specific moisture extraction rate and the dryer thermal efficiency were calculated in an average 0.931 kg/kWh and 0.521 kg/kWh, and 61.0% and 34.3% for HPD and SAHPD, respectively. Whereas, the pickup efficiency and the coefficient of performance of the heat pump were calculated in an average 57.5% and 59.2%, and 4.03and 4.35 for HPD and SAHPD, respectively. The SAHPD is capable of drying Curcuma quickly because of the high pickup efficiency and high drying rate.
Volume: 11
Issue: 3
Page: 1617-1627
Publish at: 2020-09-01

Fault analysis in power system using power systems computer aided design

10.11591/ijaas.v9.i3.pp171-179
Fortune Chukwuebuka Amanze , Amanze Destiny Josiah
This work presents a fault analysis simulation model of an IEEE 30 bus system in a distribution network. This work annalysed the effect of fault current and fault voltage in a distribution system. A circuit breaker was introduced into the system to neutralize the effect of the fault. The system was run on a PSCAD software and results were obtained. The system was monitored based on the start time and the end time of the fault and how well the circuit breaker reacts with those times. Fault occurred from 0.100 to 0.300 seconds before it was removed. At the time fault was not applied (i.e. from 0.00 to 0.100 and from 0.300 to 0.72), the circuit breaker was close and became open when fault was applied so as to cut off current flow through the line.The result obtained gave the disruption caused by the fault and the quick response of the circuit breaker in neutralizing it. Results gotten are based on when the circuit breaker is close and no fault is applied and when the circuit breaker is open due to fault. From this work, it was obtained that circuit breakers are very essential in system protection and reliability.
Volume: 9
Issue: 3
Page: 171-179
Publish at: 2020-09-01

Age group differences on perception of autoplay in mobile game playing among korean gamers

10.11591/ijeecs.v19.i3.pp1519-1524
Doo Heon Song , Seunghun Lee
Autoplay functions are embedded in most mobile role playing games and mobile multiplayer online battle arena games recently. Theoretically, there are different views on autoplay function in that it may be a ‘fake play’ from the traditional view and it is economical and gives functional benefits for game developing companies on balancing from functionalists’ view. In this paper, we investigate how this autoplay functions are perceived to the Korean mobile gamers. We report that there exists a strong age group effect on it and age 25 is the inflection point. Among 304 subjects including 69 females participated in this survey, the positive perception rate is positively proportional to the age from 36% to 73%. The reasons they choose to play autocombat function are convenience and utilizing sack times but the older groups (over 30) emphasize playing while doing other personal doings. Those who do not use autoplay function sustain the traditional view of game playing in that autoplay is ‘not’ the real game playing and there exists an age effect in that the inclination rate of autoplay function is negatively proportional to the age.
Volume: 19
Issue: 3
Page: 1519-1524
Publish at: 2020-09-01

A study of sensorless vector control of IM using neural network luenberger observer

10.11591/ijpeds.v11.i3.pp1259-1267
Tahar Belbekri , Bousmaha Bouchiba , Ismail khalil Bousserhane , Houcine Becheri
After the development of electronic components, the elimination of the sensors has become a necessary subject to get good results in the field of speed control, because of the price of the sensors, the strenuous choice of its position and the disturbance of measurement which affects the robustness of control. The luenberger observer showed to be one of the most excellent methods suggested by the researchers; this is due to the best performance, it offers in terms of stability, reliability and less counting effort. In this article, a study of luenberger observer based on neural network-based was discussed. This artificial intelligence method makes it possible to decrease the error of estimated speed for IRFOC control of the induction motor. Simulation results are obtained to show the robustness and stability of the system.
Volume: 11
Issue: 3
Page: 1259-1267
Publish at: 2020-09-01
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