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[PERFORMANCE EVALUATION OF LEAD ACID BATTERY-BACKUP POWER SYSTEM OF SOLAR HYBRID POWER PLANT ]]>
<![CDATA[Adera, Bayew]]>;
<![CDATA[Sahu, Omprakash]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[This work is concentrated on determining and evaluating the performance of the lead acid battery energy storage system of the solar hybrid power plant existing at Bahir Dar University. Evaluating the performance of solar battery energy storage system and other integrated units in a stand alone or grid connected solar power plants having prominent significance and contribution with respect to adapting and utilizing the indispensable solar power (PV) technology in Ethiopia. The battery performance evaluation was done by analyzing the long day performance data of the battery backup unit and by carrying out experimental discharging operation. The battery backup unit performance evaluation was done by analyzing the long day performance, the battery efficiency, charging factor, depth of discharge and capacity of the battery. The results shows that the battery was charged without being discharged a number of times. This can be the result of loss energy by self discharge of the battery, or wrong setting in recording of input output values or failure of the Xtender inverter charger RCC -02/03 recording, displaying and control units.]]>
<![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.]]>
<![CDATA[Supplier side optimal bidding strategy for electricity market using bacterial foraging optimization algorithm ]]>
<![CDATA[Uday Sriram L]]>;
<![CDATA[Siva Nagaraju S]]>;
<![CDATA[Chandram Karri]]>
<![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.pp58-67
<![CDATA[In this article, bacterial foraging optimization (BFO) algorithm is developed for single side optimal bidding strategy in an electricity market. Optimal bidding strategy is one of the important functions in the electricity market along with forecasting of the electricity price and the profit based unit commitment. The prime objective of generating company (Genco) is to maximize their profit when they participate in the bidding pro-cess. The BFO algorithm has been used to maximize the probability density function (pdf). In the second stage the BFO algorithm is again applied to maximize the profit of the suppliers. The proposed algorithm is developed in MATLAB (Version, 2019) and tested on standard test case available in the literature. Also, the simulation results are presented and compared. It is noticed that the proposed method yields the best results in terms of profit.]]>
<![CDATA[CONTROL SHUNT ACTIVE FILTER BASED ON DQ FRAME USING CURRENT MODEL PREDICTION ]]>
<![CDATA[Chí, Nguy?n V?n]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[The nonlinear loads present more in the power systems in the practice today by developing of electronic technology and using the small distributed power sources (solar power, wind power etc.?), this causes the increasing the high frequency switch devices etc. in the power network. Nonlinear loads cause non-sinusoidal currents and voltages with harmonic components, increasing the reactive power, overload of power lines and electrical devices, low power factor and affecting badly to the networks. Shunt active filters (SAF) with current controlled voltage source inverters (CCVSI) are used effectively to reduce the harmonics and to balance the phases sinusoidal source currents by generating the currents to compensate the harmonic currents caused by the nonlinear loads. In this paper we suppose a control strategy to generate the compensation currents of SAF by using the current model predictive engineering. This method is better than the control strategy using PI controller in term of transient time. The desired compensation currents can track exactly the reference compensation currents on the dq frame. The simulation results implemented on the nonlinear load, a full bridge rectifier and 3 phase unbalance load, show that the transient period decrease from 0.1s to 0.02s in comparing with PI controller. The experimental results proof that the THD of source currents decrease from 24.8% to 5.4% when using the proposed method.]]>
<![CDATA[INVESTIGATION OF DIFFERENT DESIGNS OF ARTIFICIAL NEURAL NETWORK FOR MAXIMUM POWER POINT TRACKING OF GRID CONNECTED PV SYSTEM ]]>
<![CDATA[ALI, Mahmoud N.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[This paper aims at increasing the PV system efficiency through the design of the Artificial Neural Network (ANN) for maximum power point tracking (MPPT) of gridconnected PV systems. The main effective factors for efficiency increase is to design an accurate tracker of maximum power point. Some conventional methods, suchas the perturb-and-observe (P&O) and the incremental conductance (IC), are widelyused for MPPT. The artificial intelligence can substitute these conventional methodsto produce a precise MPPT system. The artificial neural network (ANN) is investigated, in this paper, to compare between different designs to maximize the output dcpower of PV array. One hidden layer with different number of neurons, two hiddenlayers and a modified criterion for improving the learning process are the proposeddesigns of ANN for MPPT. The IC method is used as a base case to be compared forthe clarification of the improvement achieved using the ANN as an MPP tracker.]]>
<![CDATA[RESPONSIVE LOAD MODEL INTEGRATION WITH SCUC TO DESIGN TIME-OF-USE PROGRAM ]]>
<![CDATA[Samimi, Abouzar]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[Appropriate designing and accurate pricing of demand response (DR) programs are two important issues being encountered by system operator. Assigning proper values could impact on creating more incentives and raising customers? participation level as well as improving technical and economical characteristics of the power system.Here, time of use (TOU) as a prevalent program is linearly modeled based on concepts of self and cross price elasticities of demand. In order to design TOU program, a joint optimization over the operation cost and customers? benefit is proposed based on security-constrained unit commitment problem (SCUC). Supplementary constraints are provided at each load point with daily energy consumption requirement and DR limitation. GAMS software is used to implement the proposed method in which CPLEX solver finds the optimal solution.IEEE 24-bus test system is employed to study different features of the proposed method. By varying DR potential in the system, TOU rates are determined and then their impacts on customers' electricity bill, operation cost, and reserve cost as well as load profile of the system are investigated. In addition, the effect of network congestion as a technical limitation is studied. The results show the effectiveness and applicability of the proposed method.]]>
<![CDATA[Induction motor drive based on direct torque controlled used multi-pulse AC-DC rectifier ]]>
<![CDATA[Rohollah Abdollahi]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10, No 2: June 2021 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i2.pp89-96
<![CDATA[This paper presents the direct torque-controlled induction motor drives (DTCIMDs) based on a retrofit 44-pulse rectifier (44PR). A 22-phase polygon autotransformer (PA) is designed to supply the rectifiers. The above structure improves the power quality standards in the power grid and complies with the requirements of the IEEE-519 standard for different loads. Besides, a power factor close to one is obtained for a wide range of DTCIMD performance. The results show that the total harmonic distortion (THD) of the input current under variable loads for 44PR is less than 3%.]]>
<![CDATA[ANALYSIS ON MAXIMUM POWER POINT TRACKING TECHNIQUES FOR PHOTOVOLTAIC SYSTEMS ]]>
<![CDATA[Akda, Nona]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 10 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v10.i1.pp%p
<![CDATA[Renewable energy Solaris become important role in electric power generation. There are several renewable resources used for electric power generation. such as wind energy, solar energy etc. Solar Energy is best for electric power generation. since the solar energy is directly changed into electrical energy by solar photovoltaic systems. When many PV systems are connected in parallel and series combinations we develop solar PV array, for obtaining higher power output . There are many techniques for maximizing power in solar systems., maximum power point (MPP) tracking. Later on in this analysis, we discuss about two MPP tracking techniques are deliberate and compared. The technique is based the incremental conductance and ANFIS method]]>
<![CDATA[Technical analysis of a hybrid solid oxide fuel cell/gas turbine cycle ]]>
<![CDATA[Leal, Elisângela Martins]]>;
<![CDATA[Bortolaia, LuÃs Antônio]]>;
<![CDATA[Junior, Amauri Menezes Leal]]>
<![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[This paper shows a technical analysis of a direct internal reforming solid oxide fuel cell (DIR-SOFC) and a gas turbine (GT) system. The technical analysis consists of an energy and exergy analysis of the system. Equilibrium calculations are made to find the ranges of inlet steam/fuel ratio and the operational current density of the fuel cell. After that, a hybrid system consists of a DIR-SOFC and a GT is evaluated using a computer simulation at the design point. The results showed that the fuel cell is the main power producer system, the high energy efficiency (around 62%) and exergy efficiency (around 58%) is achieved by the hybrid cycle compared to fuel cell efficiency (about 40%) and the gas turbine (around 38%). The power ratio of the fuel cell / gas turbine was 1.50. An analysis varying the fuel cell current density and the gas turbine pressure ratio was performed showing that the fuel cell power production decreases with increasing current density when the gas turbine becomes the main power producing equipment. However, the system energy efficiency decreases with the reduction of power produced by the fuel cell. Finally, it is shown that the computer simulation of the hybrid system may represent a quick and economic feasible way to investigate it.]]>
