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
571 Documents
MULTILEVEL INVERTER FED INDUCTION MOTOR DRIVE FOR POWER FACTOR CORRECTION
Balamurugam, C. R.
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i1.pp%p
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.
Hybrid PSO-GSA algorithm-based optimal control strategy for performance enhancement of a grid-connected wind generator
Mina N. Amin;
Mahmoud A. Soliman;
Hany M. Hasanien;
Almoataz Y. Abdelaziz
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i2.pp151-158
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
ANALYSIS AND OPTIMIZATION OF AUTOMATED POWER DISTRIBUTION WITHIN NIGERIA
Ofualagba, Godswill;
Ejofodomi, O'tega
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i1.pp%p
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.
A novel impedance source fed H-type flying capacitor multilevel inverter
Balamurugam, C. R.
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i1.pp%p
 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).
Stable and robust control strategy using interval-valued fuzzy systems
Nadia Bounouara;
Mouna Ghanai;
Ali Medjghou;
Kheireddine Chafaa
International Journal of Applied Power Engineering (IJAPE) Vol 9, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v9.i3.pp205-217
In this paper we propose an adaptive interval valued fuzzy controller for high performance direct vector-controlled induction motor drive. Interval valued controller compared with type-1 fuzzy controller has the advantage that it can take into account the linguistic uncertainties present in the rules of the estimated models. The proposed control framework consists of a mixture of two controllers: an interval valued fuzzy controller and a supervisory controller. The supervisory controller is used when thesystem starts to become unstable. The free parameters for the proposed controller are changed according to some learning rules based on Lyapunov stability. Simulation results on an induction motor show the effectiveness ofthe introduced method.
Optimal choice and allocation of shunt FACTS devices using differential search algorithm
Yamacli, Volkan
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i1.pp%p
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.
PERFORMANCE EVALUATION OF LEAD ACID BATTERY-BACKUP POWER SYSTEM OF SOLAR HYBRID POWER PLANT
Adera, Bayew;
Sahu, Omprakash
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i1.pp%p
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.
Synchronizing phasor measurement and STATCOM controller in power system stability enhancement
Debasish Mondal
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i1.pp30-40
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.
Solving optimal reactive power problem by hurricane search optimization algorithm
Kanagasabai Lenin
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i1.pp26-29
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.
Supplier side optimal bidding strategy for electricity market using bacterial foraging optimization algorithm
Uday Sriram L;
Siva Nagaraju S;
Chandram Karri
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijape.v10.i1.pp58-67
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.