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.
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<![CDATA[Power quality improvement using a shunt active power filter based on an cascaded H-bridge eleven level inverter with predictive current control ]]>
<![CDATA[Abdelkader, Yousfi]]>;
<![CDATA[Chaker, Abdelkader]]>;
<![CDATA[Bot, Youcef]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[The active power filter has proven to be an effective method for attenuating harmonic currents generated by non-linear loads as well as for compensating reactive power. This paper presents a comparison study between two control methods associated with a shunt active power filter based on eleven-level type cascaded inverter. The first method is based on the conventional PI regulator and the second is based on the predictive current controller. The eleven-level type cascade inverter has more advantages relatively to the two-level inverter; among them: better total harmonic distortion, reduced semiconductor switches ratings and reduced switching losses. The performance of the APF is tested by simulation using Matlab/Simulink. The predictive controlled the APF associated with the multi-level inverter shows more performances and efficiency compared to the conventional control algorithms.]]>
<![CDATA[State of charge estimation by using extended Kalman filter based on improved open circuit voltage model ]]>
<![CDATA[Maamar Souaihia]]>;
<![CDATA[Bachir Belmadani]]>;
<![CDATA[Rachid Taleb]]>;
<![CDATA[Kamel Tounsi]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp1-10
<![CDATA[This paper focuses on the state of charge estimation (SOC) for battery Li-ion. By modeling a battery based on the equivalent circuit model, the extended Kalman filter approach can be applied to estimate the battery SOC. An electrical battery model is developed in Matlab, Where the structure of the model is detailed by equations and blocks. The battery model has been validated from the experiment results. The comparison shows a good agreement in predicting the voltage, SOC estimation and the model performs better in SOC estimation.]]>
<![CDATA[Smart power grid vulnerability analysis in composite system through power grid modelling ]]>
<![CDATA[Shouvik kumar Samanta]]>;
<![CDATA[Chandan kumar Chanda]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp11-20
<![CDATA[A though the number of traditional literature reviews most of the researchers in this area have concluded that modern intelligent electric network a referred standard new model which is considering for proposed power flow model analysis of smart power grid vulnerability through composite network. By the theorem of max-flow and complex power network theorems that are represented the advance vulnerability indices for pick out endangered lines of the smart grid network. In other hand, the power flow model and existing models simulation are examined on the IEEE 39-bus test model. The results of the simulation introduced that the proposed concept of grid model, estimation and the index application are more adequate in smart grid weakness power and efficiency analysis. In this paper briefly summarize the methods and probabilities of a vulnerability index which was explained in specific in references. Therefore, it is imperative to further implement new models and new tools so as to reach the novel state and moderate the huge or massive potential shutoff]]>
<![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 ]]>
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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 ]]>
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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[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 ]]>
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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[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 ]]>
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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 ]]>
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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.]]>
<![CDATA[Synchronizing phasor measurement and STATCOM controller in power system stability enhancement ]]>
<![CDATA[Debasish Mondal]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp30-40
<![CDATA[The objective of this paper is to present the concepts of synchronizing phasor measurement (SPM) and its strategic application in addition with a STATCOM controller for augmentation of dynamic stability in a multimachine power network. The bus voltages of the power network under consideration are estimated in the form of digital signal by a synchronizing phasor measurement unit (SPMU). The output of the PMU is then applied to a fixed structure PI type lead-lag digital STATCOM controller in order to study the performance of this discrete-time digital control in comparison to its analog counterpart for the present control problem. The parameters of the analog controller are first tuned with a popular soft computation technique, particle swarm optimization (PSO) and later this controller is converted to digital one for simulation with sampled data outputs received from SPMU. The validation and effectiveness of the design of the proposed control scheme is illustrated through time domain simulation of a proposed 3- machine, 9-bus test power system. The simulation results of the machine speed deviation response established that the SPM based digital control system is more effectual and resulting better performance than the continuous-time analog control system in power system stability improvement.]]>
<![CDATA[Solving optimal reactive power problem by hurricane search optimization algorithm ]]>
<![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 ]]>
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DOI: 10.11591/ijape.v10.i1.pp26-29
<![CDATA[In this paper proposed hurricane search optimization (HSO) algorithm is proposed to solve optimal reactive power problem. An upward motion of air is caused due to release of heat which creates a low-pressure zone and by the rotation of the earth that is set into spin. In this spiraling airflow when energy is high then hurricane is created. Projected HSO algorithm design is based on the examination of the horizontal wind structure in a hurricane and how the wind parcels the progression in the neighboring atmosphere. A mixture of wind models has been developed for past few years to Backtesting and to compute hurricane exterior wind fields. Proposed HSO algorithm has been tested in standard IEEE 30, 57bus test systems and simulation results show the projected algorithm reduced the real power loss considerably.]]>
