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International Journal of Applied Power Engineering (IJAPE)
ISSN : 22528792     EISSN : 27222624     DOI : -
Core Subject : Engineering,
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.
Arjuna Subject : -
Articles 571 Documents
HYBRID FIREFLY ALGORITHM-RNN TECHNIQUE BASED ACTIVE FILTER FOR PQ ENHANCEMENT E, Veera Boopathy
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i1.pp%p

Abstract

Shunt active power filter (SAPF) is utilized to compensate power quality (PQ) disturbances. For diminishing the PQ disturbances, the performance of SAPF must be enhanced. Here, a hybrid controller is employed to enhance the performance of SAPF and alleviates the PQ issues. The hybrid technique is the combination of firefly algorithm (FA) and recurrent neural network (RNN) technique. To minimize the PQ issue and to extract the reference current a hybrid method is employed. Furthermore, the dc link voltage is preserved at the constant level and harmonics are condensed. After that, the THD are evaluated for the proposed and conventional methods. The proposed method is executed in MATLAB/Simulink platform and their performances are computed. In order to prove the efficiency of the proposed method, this is compared with the conventional method such as, PI controller, Fuzzy controller and cuckoo search (CS)-radial basis function neural network (RBFNN) controller.
PERFORMANCE ASSESSEMENT OF ELECTRIC POWER DISTRIBUTION NETWORK BASED ON RELIABILITY INDICES Diamenu, Godwin; Kwarteng, Joseph
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i1.pp%p

Abstract

This paper assessed the performance of a selected 33 kV electric power distribution network within the Western region of Ghana which is one of the ten geographical regions of the country. Reliability indices were computed for the performance assessment of the electric power distribution line outages. A total of 2929 outages were recorded for the selected electric power distribution line routes within the region. The historical outage data used for the performance assessment was obtained from the regional office of the Electricity Company of Ghana (ECG). The ECG regional office is in-charge of operation and maintenance of all electric power distribution networks within the Western region of Ghana. The performance assessment was carried out by computing the mean-time-to-failure (MTTF), mean-time-to-repair (MTTR) and other reliability indices. 
COMPARISON STUDY BETWEEN NPWM AND NSVPWM STRATEGY IN FSMC CONTROL OF STATOR REACTIVE AND ACTIVE POWERS CONTROL OF A DFIG-BASED WIND TURBINE SYSTEM BENBOUHENNI, Habib
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i1.pp%p

Abstract

In this work, we present a comparative study between neural space vector pulse width modulation (NSVPWM) and neural pulse width modulation (NPWM) technique in fuzzy-sliding mode control (FSMC) of stator active and stator reactive power control of a doubly fed induction generator (DFIG) for wind energy conversion systems (WECSs). Two strategies approach using FSMC-NSVPWM and FSMC-NPWM are proposed and compared. The validity of the proposed strategies is verified by simulation tests of a DFIG (1.5MW). The reactive power, electromagnetic torque, rotor current and stator active power is determined and compared in the above strategies. The obtained results showed that the proposed FSMC with NSVPWM strategy has stator reactive and active power with low powers ripples and low rotor current harmonic distortion than NPWM strategy.
REVIEW OF SMART GRID CONCEPT chilakala, Ramireddy; Neelima, Devi B.; Rami, Reddy Ch.
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i1.pp%p

Abstract

India is the rebellious to fulfill electric power need of the speedy developing economy. Reproduce of the power ventures is just improves the few difficulties for power framework engineers. It is the proposed plan to present the functional Smart + Grid (SG) at various dimension in the Indian power frameworks is to be recommended that a propelled robotization system is required. Smart Grid is acquainted with fabricate the network activity more astute and brisk. SG tasks, upon reasonable arrangement. It very well may be open up with new road and openings with significant monetary suggestion. This work present in the different Smart framework activities and suggestion with regards to the power showcase advancement in India. This paper proposed the show examination of the power stream controller for Photo Voltaic (PV), wind vitality and energy component age framework. Ordinary network united with nearby planetary group incorporates Photovoltaic framework, energy component, DC to DC Converters, three stage inverter, wind vitality, battery units, related power hardware gadgets and burdens arerequired in the matrix. This point by point model of brilliant lattice interface with photovoltaic frameworks and power device begins with PV source which is combined with the lift dc-dc converter and after that thus joined to the three stage inverter which conveyed the sunlight based vitality to the savvy matrix, not with standing energy component associates with inverter which convey capacity to shrewd network. This inverter is worked as the shunt Active Power Filter (APF) and is embraced with the nonlinear control plot in sort to remunerates the voltage unbalance are dynamic power, and the heap voltage and current variety.
Investigation of 22 kV silane cure TR-EPR cable Fernando Agustin; Akhtar Kalam; Aladin Zayegh
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : 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

Abstract

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.
DFIG USE WITH COMBINED STRATEGY IN CASE OF FAILURE OF WIND FARM Loulijat, Azeddine; Ababssi, Najib; Fihri Fassi, Hicham; Makad, Mohammed
International Journal of Applied Power Engineering (IJAPE) Vol 9, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v9.i3.pp%p

Abstract

In the wind power area, Doubly Fed Induction Generator (DFIG) has many advantages due to its ability to provide power to voltage and constant frequency during rotor speed changes, which provides better wind capture as compared to fixed speed wind turbines (WTs). The high sensitivity of the DFIG towards electrical faults brings up many challenges in terms of compliance with requirements imposed by the operators of electrical networks. Indeed, in case of a fault in the network, wind power stations are switched off automatically to avoid damage in wind turbines, but now the network connection requirements impose stricter regulations on wind farms in particular in terms of Low Voltage Ride through (LVRT), and network support capabilities. In order to comply with these codes, it is crucial for wind turbines to redesign advanced control, for which wind turbines must, when detecting an abnormal voltage, stay connected to provide reactive power ensuring a safe and reliable operation of the network during and after the fault. The objective of this work is to offer solutions that enable wind turbines remain connected generators, after such a significant voltage drop. We managed to make an improvement of classical control, whose effectiveness has been verified for low voltage dips. For voltage descents, we proposed protection devices as the Stator Damping Resistance (SDR) and the CROWBAR. Finally, we developed a strategy of combining the solutions, and depending on the depth of the sag, the choice of the optimal solution is performed.
Hybrid molten carbonate fuel cell and gas turbine cycle: technical analysis Leal, Elisângela Martins
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i1.pp%p

Abstract

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.
DIRECT SPACE VECTOR MODULATION FOR MATRIX CONVERTER FED DUAL STAR INDUCTION MACHINE AND NEURO-FUZZY SPEED CONTROLLER Bouziane, Meliani; Abdelkader, Meroufel; Abdelkader, Meroufel
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i1.pp%p

Abstract

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.
Control of power converter used for electric vehicle DC charging station with the capability of balancing distribution currents and reactive power compensation Omar, Moien A.
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i2.pp%p

Abstract

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.
Amplified and quantum based brain storm optimization algorithms for real power loss reduction Kanagasabai Lenin
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : 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

Abstract

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.