International Journal of Applied Power Engineering (IJAPE)
International Journal of Applied Power Engineering (IJAPE) focuses on the applied works in the areas of power generation, transmission and distribution, sustainable energy, applications of power control in large power systems, etc. The main objective of IJAPE is to bring out the latest practices in research in the above mentioned areas for efficient and cost effective operations of power systems. The journal covers, but not limited to, the following scope: electric power generation, transmission and distribution, energy conversion, electrical machinery, sustainable energy, insulation, solar energy, high-power semiconductors, power quality, power economic, FACTS, renewable energy, electromagnetic compatibility, electrical engineering materials, high voltage insulation technologies, high voltage apparatuses, lightning, protection system, power system analysis, SCADA, and electrical measurements.
Articles
61 Documents
Search results for
, issue
"Vol 10"
:
61 Documents
clear
<![CDATA[Investigation of 22 kV silane cure TR-EPR cable ]]>
<![CDATA[Fernando Agustin]]>;
<![CDATA[Akhtar Kalam]]>;
<![CDATA[Aladin Zayegh]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (464.03 KB)
|
DOI: 10.11591/ijape.v10.i1.pp41-47
<![CDATA[EPR-insulated cables for distribution power network are not commonly used in Australia. This is due to the higher DDF of common EPR cables when compared with XLPE that contributes to the power loss and economics in transmitting electricity. This led to the development of EPR called TR-EPR with significantly lower DDF and uses silane curing process to address concerns about cost-effectiveness. The thermal behavior of low DDF silane cure TR-EPR is investigated for 30 months of exposure to the maximum operating temperature of material. The physical changes in the samples throughout the long-term aging are examined to create an opportunity to model the expected life cycle of TR-EPR cable under thermal stress. The cross-linking characteristics of TR-EPR cable are also examined by ambient curing that simulates the storage condition for unused cable and by cable heating process that simulates the condition when the cable is energized. The results are tabulated for a better understanding of the time for the material to cross-link at various conditions. The improved partial discharge values after cross-linking are also presented.]]>
<![CDATA[Hybrid molten carbonate fuel cell and gas turbine cycle: technical analysis ]]>
<![CDATA[Leal, Elisângela Martins]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[Hybrid systems that includes the use of fuel cells and thermal engines have been proposed and studied with promising results. Molten carbonate fuel cells (MCFC) present numerous advantages compatible with the current demands for the energy production in a sustainable and commercially competitive way. However, MCFC susceptibility to the deterioration of its components implies a reduced useful lifetime, being an obstacle to the potential of its economic attractiveness. This paper presents a technical analysis of the main variables on the energy efficiency and power generation of a hybrid system comprised of a molten carbonate fuel cell and a gas turbine through the determination of fuel cell design points and subsequent hybrid system modeling. Results indicate that the increase in temperature and in operating pressure of the fuel cell as well as the fuel reform rate improves the performance of the hybrid system as a whole. Variation in the utilization factor, however, did not determine an expressive increase in the system efficiency.]]>
<![CDATA[DIRECT SPACE VECTOR MODULATION FOR MATRIX CONVERTER FED DUAL STAR INDUCTION MACHINE AND NEURO-FUZZY SPEED CONTROLLER ]]>
<![CDATA[Bouziane, Meliani]]>;
<![CDATA[Abdelkader, Meroufel]]>;
<![CDATA[Abdelkader, Meroufel]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[This paper presents the modeling, design, and simulation of an adaptive neuro fuzzy inference strategy (ANFIS) for controlling the speed of the Double Star induction Machine (DSIM), the machine is fed by three phase direct matrix converter which makes directly AC-AC power conversion is modeled using Direct Space Vector Modulation technique(DSVM) for direct matrix converter. Double star Induction motor is characterized by highly non-linear, complex and time-varying dynamics and inaccessibility of some of the states and outputs for measurements. Hence it can be considered as a challenging engineering problem in the industrial sector. Various advanced control techniques has been devised by various researchers across the world. Some of them are based on the neuro-fuzzy techniques. The main advantage of designing the ANFIS coordination scheme is to control the speed of the DSIM to increase the dynamic performance, to provide good stabilization. To show the effectiveness of our scheme, the proposed method was simulated on an electrical system composed of a 4.5 kW six-phase induction machine and its power inverter. Digital simulation results demonstrate that the deigned ANFIS speed controller realize a good dynamic of the DSIM, a perfect speed tracking with no overshoot, give better performance and high robustness.]]>
<![CDATA[Control of power converter used for electric vehicle DC charging station with the capability of balancing distribution currents and reactive power compensation ]]>
<![CDATA[Omar, Moien A.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 2: June 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijape.v10.i2.pp%p
<![CDATA[This paper presents a control scheme of power converter used for electric vehicles DC charging station connected to a three-phase distribution feeder. The transformer is employed to connect single-phase photovoltaic inverters and single phase loads to the main grid. This makes the distribution transformer to work with unbalanced operations which leads to overload conditions and inefficient operation. The proposed control scheme makes the AC/DC converter to convert the AC grid power to DC power required for charging the electric vehicle. Moreover it makes the currents of the transformer to be balanced with unity power factor to avoid frequent shutdowns due to overload conditions . The power converter control scheme are examined and simulated considering unbalanced distribution feeder with single phase PV inverters and single phase loads. Simulations are performed in Matlab/Simulink to show the effectiveness of the proposed control strategy.]]>
<![CDATA[Amplified and quantum based brain storm optimization algorithms for real power loss reduction ]]>
<![CDATA[Kanagasabai Lenin]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (634.663 KB)
|
DOI: 10.11591/ijape.v10.i1.pp21-25
<![CDATA[In this work amplified brain storm optimization (ABS) algorithm and quantum based brain storm (QBS) optimization algorithm is applied to solve the problem. A node is arbitrarily chosen from the graph as the preliminary point to form a Hamiltonian cycle. At generation t and t+1, Lt and Lt+1 are the length of Hamiltonian cycle correspondingly. In the QBS algorithm a Quantum state of an idea is illustrated by a wave function ( ⃗ ) as an alternative of the position modernized only in brain storm optimization algorithm. Monte Carlo simulation method is used, to measure the position for each idea from the quantum state to the traditional one. Proposed ABS algorithm and QBS optimization algorithm has been tested in standard IEEE 57 bus test system and real power loss reduced effectively.]]>
<![CDATA[MULTILEVEL INVERTER FED INDUCTION MOTOR DRIVE FOR POWER FACTOR CORRECTION ]]>
<![CDATA[Balamurugam, C. R.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[Multi-level inverter fed induction motor is a single phase highly efficient motor among all. It is widely used in medium-voltage applications such as machineries, air compressors and vacuum pumps. But however this MLI fed induction motors suffered by poor quality of voltage and current due to occurrence of harmonics and poor input power factor which results high level of energy losses. This confliction is avoided by improving power factor using various power factor control methods. By improving the power factor we can get the better efficiency with reduced Total Harmonic Distortion (THD). The effectiveness of system is verified through MATLAB/SIMULINK.]]>
<![CDATA[Hybrid PSO-GSA algorithm-based optimal control strategy for performance enhancement of a grid-connected wind generator ]]>
<![CDATA[Mina N. Amin]]>;
<![CDATA[Mahmoud A. Soliman]]>;
<![CDATA[Hany M. Hasanien]]>;
<![CDATA[Almoataz Y. Abdelaziz]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 2: June 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1113.06 KB)
|
DOI: 10.11591/ijape.v10.i2.pp151-158
<![CDATA[Due to the great level of wind energy penetration in the existing network, huge efforts have been directed to enhance the grid-connected wind generator performance. This paper shows an application of a hybrid algorithm of the particle swarm optimization and the gravitational search algorithm (PSO-GSA) to enhance the transient stability of the grid-tied wind energy conversion system. The variable-speed wind turbine (VSWT) direct-drive permanent-magnet synchronous generator is connected to the network through a full-scale converter. The generator- and grid-side converters are controlled by utilizing an optimum proportional-integral (PI) controller. The criterion of the integral squared error is utilized as an objective function. The PSO-GSA based-PI controller efficacy is validated by comparing its results with that are obtained by utilizing the genetic algorithm (GA)-based-PI controller. The performance of the suggested control scheme is checked during various fault conditions. The control scheme quality is legalized by the simulation results that are obtained using MATLAB/Simulink program]]>
<![CDATA[ANALYSIS AND OPTIMIZATION OF AUTOMATED POWER DISTRIBUTION WITHIN NIGERIA ]]>
<![CDATA[Ofualagba, Godswill]]>;
<![CDATA[Ejofodomi, O'tega]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[Nigeria currently generates approximately 81,122 MWH (or 3,380 MWH/H) of electricity for national consumption, which is far less than the daily electricity demand of the country, leading to a need for allotted power distribution within the country. A power optimization software owned and patented by RACETT NIGERIA LTD. was used to perform automated distribution of electricity from the National Grid for October 1, 2019, with priority given to the peak demand period of 8:00 p.m. -11: 00 p.m. The distribution results show that Nigeria is currently able to provide 4 hours of electricity across the nation from 8:00 p.m. - 12:00 a.m. Eight (8) states received electricity for only 4 hours of the day, while some states like Lagos State received as much as 24 hours. The percentage grid allocation to the distribution companies needs to be revised to improve even distribution of electricity across the nation, and transmission and distribution losses need to be drastically reduced. Further analysis revealed that Nigeria presently needs to generate 240,000 MWH (or 19 , 583 MWH/H) of electricity in order to provide 24 hours of electricity to every state across the nation.]]>
<![CDATA[A novel impedance source fed H-type flying capacitor multilevel inverter ]]>
<![CDATA[Balamurugam, C. R.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[Â In this paper, simulation using MATLAB-SIMULINK is performed with bipolar triangular fixed amplitude multi-carrier Phase Disposition (PD) PWM strategy with sine wave, Third Harmonic Injection, 60 degree PWM and stepped wave reference for the chosen impedance Source based H-Type flying capacitor Multilevel Inverter (ISBH-Type FCMLI). The root mean square value of the fundamental component and THD of the output voltage which are the most important performance indices for the chosen inverter topologies are evaluated presented and compared for various references through duty ratios. From the simulation results it is observed that for various references the THD is almost similar but the root mean square value in terms of voltage is more for THI, 60 degree PWM and 60 degree reference with phase disposition strategy. The results are obtained for ma < 1 (under amplitude modulation index), ma=1(normal amplitude modulation index) and ma > 1(over amplitude modulation index).]]>
<![CDATA[Optimal choice and allocation of shunt FACTS devices using differential search algorithm ]]>
<![CDATA[Yamacli, Volkan]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[In this paper, new and efficient heuristic algorithm, Differential Search Algorithm (DSA), is used for optimal choice and allocation of shunt Flexible AC transmission systems (FACTS) devices, Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM). In the proposed optimal location method, SVC and STATCOM devices are located randomly and dynamically with objective of minimizing the real power loss, improving the voltage profile and enhancing the voltage stability. The best solution sets for objectives aforementioned are achieved by minimizing each objective functions by the proposed approach. In order to evaluate the proposed methodology, it has been tested on IEEE 30 bus system and compared to another widely used optimization algorithm, Artificial Bee Colony (ABC) algorithm. The validity of the proposed optimization algorithm is proven by the results and comparative analysis with other method.]]>
