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[Single-phase distributed generations for power balanced using adaptive real coded genetic algorithm ]]>
<![CDATA[Umar, Umar]]>;
<![CDATA[Faanzir, Faanzir]]>;
<![CDATA[Iswan, Iswan]]>;
<![CDATA[Rasyid, Ramly]]>;
<![CDATA[Rahman, Muhammad Natsir]]>;
<![CDATA[Khairan, Amal]]>;
<![CDATA[Haryati, Haryati]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp11-19
<![CDATA[Easy access to distributed generation (DG) technology is promoting the utilization of single-phase DGs for residential purposes. Surplus energy generated by household DGs can be shared or sold to other communities through existing networks. However, the interconnection of single-phase DGs from residential generators to the distribution network requires careful handling to secure the reliability and quality of the electric power system. This paper focuses on the optimal placement of single-phase multi-type DGs on unbalanced distribution systems that are connected to nonlinear loads. The objective of this study is to minimize the power losses and voltage unbalances in the distribution networks. To verify the efficacy of this method in reducing voltage unbalances and harmonics, an optimization approach is also presented using three-phase DG. Optimal placement of DG is performed on a modified Kaliasin distribution system using an adaptive real coded genetic algorithm (ARC-GA). Simulation results demonstrate that the installation of single-phase DGs is highly effective in reducing power losses and voltage unbalances in the distribution networks.]]>
<![CDATA[Real-time monitoring and data acquisition using LoRa for a remote solar powered oil well ]]>
<![CDATA[Chidolue, Onyinyechukwu]]>;
<![CDATA[Iqbal, Tariq]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp201-212
<![CDATA[Real-time monitoring is essential for solar-powered systems as they can be affected by sudden environmental changes, which may occur unpredictably, especially in isolated regions. This study proposes a wireless communication-based approach that allows for data acquisition and system monitoring of the entire solar system of a remote oil well. The proposed instrumentation method offers an affordable solution for monitoring the battery voltage, photovoltaic (PV) current, the converter's alternating current (AC), and oil well management. A wireless communication tool for a long-range called LoRa is used, with the TTGO LoRa32 SX1276 organic light-emitting diode (OLED) as the sender node and Heltec long range (LoRa) ESP 32 as the transmitter node. These I.C.s are ESP32 development boards with an integrated LoRa chip and an SSD1306 flash memory. System design and some test results are included in the paper.]]>
<![CDATA[A novel SIMIDCBC topology driven PMSM for PEV application ]]>
<![CDATA[Kumar, Chinta Anil]]>;
<![CDATA[Jothinathan, Kandasamy]]>;
<![CDATA[Rao, Lingineni Shanmukha]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp66-80
<![CDATA[Nowadays, the usage of renewable energy based electric vehicles is increased for reducing CO2 emissions, usage of fossil fuels, energy saving, and transportation cost. As a result, it becomes the most significantly run with combined energy sources and it is good choice which minimizes the energy consumption from charging stations. The available renewable energy is integrated to power-train through power-electronic interface; such interface consists of three-phase inverter with DC-DC boost converter. The combined energy sources like solar-PV/battery are integrated to power-train by employing multi-input non-isolated step-up DC-DC converter for providing continuous power to drive the vehicle. The multi-terminal topologies have efficient, reliable performance, continuous input current, high step-up gain over the conventional DC-DC converters. In this work, a unique framework of combined energy powered switched-inductor based multi-input DC boost converter topology has been proposed to drive the PMSM. The performance of proposed SIMIDCBC topology driven PMSM for PEV application under constant and variable speed conditions are verified by using MATLAB/Simulink tool, simulation results are presented.]]>
<![CDATA[Revolutionizing domestic solar power systems with IoT-enabled Blockchain technology ]]>
<![CDATA[Jhunjhunwalla, Drishana]]>;
<![CDATA[Mishra, Debani Prasad]]>;
<![CDATA[Hembram, Dashmat]]>;
<![CDATA[Salkuti, Surender Reddy]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp255-262
<![CDATA[Solar power systems in homes have become the need of the hour due to the crisis of fossil fuels. Also, it is a useful way of rural electrification and cutting down on running electricity costs. This paper discusses a 26-kW solar power system for powering homes along with IoT-based monitoring. The proposed system is expected to be low in cost and highly efficient. The system can also be used as a battery backup without solar power. The emergence of Blockchain technology is poised to revolutionize the sharing of information by providing a means of building trust in decentralized settings without the reliance on intermediaries. This technological breakthrough has the potential to transform several industries, including the internet of things (IoT). In addition to Blockchain, IoT has also been able to address some of its limitations by utilizing innovative technologies like big data and cloud computing. For security, Blockchain as a decentralized application will be used. Each block typically contains the transaction data, and power consumption data which can’t be tampered with even if changing all subsequent blocks, which is expensive to do so.]]>
<![CDATA[An effective control approach of hybrid energy storage system based on moth flame optimization ]]>
<![CDATA[Prasanna, V.]]>;
<![CDATA[Ravi, G.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp165-177
<![CDATA[In modern days, renewable sources increase the independence of urban energy infrastructures from remote sources and grids. In renewable energy systems (RES) systems, batteries are frequently used to close the power gap between the power supply and the load demand. Due to the variable behavior of RES and the fluctuating power requirements of the load, batteries frequently experience repeated deep cycles and uneven charging patterns. The battery's lifespan would be shortened by these actions, and increase the replacement cost. This research provides an effective control method for a solar-wind model with a battery-supercapacitor hybrid energy storage system in order to extend battery’s lives expectancy by lowering intermittent strain and high current need. Unlike traditional techniques, the suggested control scheme includes a low-pass filter (LPF) and a fuzzy logic controller (FLC). To begin, LPF reduces the fluctuating aspects of battery consumption. FLC lowers the battery's high current need while continuously monitoring the supercapacitor's level of charge. The moth flame optimization (MFO) optimizes the FLC's membership functions to get the best peak current attenuation in batteries. The proposed model is compared to standard control procedures namely rule based controller and filtration-based controller. When compared to the conventional system, the suggested method significantly reduces peak current and high power of the battery. Furthermore, when compared to standard control procedures, the suggested solution boosts supercapacitor utilization appreciably.]]>
<![CDATA[Analysis of single switch step up DC-DC converter with switched inductor-switched capacitor cells for PV system ]]>
<![CDATA[Gnanavadivel, J.]]>;
<![CDATA[Kalarathi, M.]]>;
<![CDATA[Prakash, K.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp20-29
<![CDATA[The presented work exhibits high gain and increased efficiency for DC-DC converter. Additionally, this topology significantly improves the voltage conversion ratio when compared with other DC-DC converters reported recently. The non-existence of high frequency transformer ensures compactness and low cost and henceforth, it is apt for clean energy applications. The analysis of the high gain converter in steady state is carried out in continuous conduction mode (CCM). Initially, the proposed converter performance is analyzed using MATLAB/Simulink platform and prototype of the same with a power rating of 200 V, 100 W is built and tested. The reliability and robustness of the converter is perceived from the experimental results and peak efficiency achieved is around 93%.]]>
<![CDATA[Improving voltage collapse point under transmission line outage by optimal placement and sizing of SVC using genetic algorithm ]]>
<![CDATA[Zaidan, Majeed Rashid]]>;
<![CDATA[Hasan, Ghanim Thiab]]>;
<![CDATA[Bajaj, Mohit]]>;
<![CDATA[Toos, Saber Izadpanah]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp213-222
<![CDATA[In many power systems, voltage instability can increase the risk of voltage collapse and, as a result, turn the power system toward a blackout. Therefore, increasing the voltage collapse point is required. A transmission line outage is an emergency condition in power systems that can lead to voltage instability and voltage collapse. Thus, it is expected to employ shunt-connected flexible AC transmission systems (FACTS) such as the static var compensator (SVC) to increase the voltage collapse point when lines outage. This paper presents the genetic algorithm (GA) application to optimal placement and sizing of an SVC for increasing voltage collapse points following lines outage. The continuation power flow (CPF) technique has been used to determine the maximum loading point (MLP) corresponding to the point of voltage collapse. Also, to reduce the number of scenarios when line outages occur, a list in ascending order is established based on the line outage priority (LOP). The IEEE 14-bus test system is chosen to carry out simulations, and an SVC will be installed in the system based on the GA results. Simulation results confirm the effectiveness of an SVC for improving voltage stability as well as increasing voltage profile.]]>
<![CDATA[Techno-economic assessment and wind energy potential of Nagad in Djibouti ]]>
<![CDATA[Idriss, Abdoulkader Ibrahim]]>;
<![CDATA[Ahmed, Ramadan Ali]]>;
<![CDATA[Atteyeh, Hamda Abdi]]>;
<![CDATA[Omar, Abdou Idris]]>;
<![CDATA[Akinci, Tahir Cetin]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp91-101
<![CDATA[The use of small scaled horizontal and vertical axis wind turbines in urban installation is increasing over the world. However, in Djibouti, the latter is still in the development phase. The paper presents a techno-economical analysis and wind energy potential for the period of five years (2015-2019) in Nagad based on actual measured wind speed data collected every 10 min at 10 m height. The energy pattern factor method has been used to estimate the Weibull parameters. With this method, the mathematical complexity is reduced with a minimization of the error at any heights and locations when calculating the wind power density. At 50 m height, the shape parameter showed a small variation for different periods. The scale parameter values of 7.78 m/s and 4.8 m/s were obtained in the hot and cold seasons, respectively. The results showed that the Nagad site is suitable for wind power development. According to the economic viability, RX30, Vestas V20, Enercon, Nordex N27, and Vestas V44 wind turbines are recommended for the Nagad site due to their low energy price ranging from 0.05$/kWh to 0.31$/kWh. This is 2-6 times cheaper than the average local tariff of electricity in Djibouti.]]>
<![CDATA[Time-series trendline and curve-fitting-based approach to short-term electricity demand forecasting ]]>
<![CDATA[Anichebe, Ifeanyi Benitus]]>;
<![CDATA[Ekwue, Arthur Obiora]]>;
<![CDATA[Obe, Emeka Simon]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp81-90
<![CDATA[Electricity load demand forecasting and its accuracy is an important process for utility planning, maintenance, scheduling, operation, and control in power systems. Historical data are also very vital in demand forecasting processes. This study examined weekly electricity demand forecasting model using trendline methods which include linear trendline, moving average, exponential smoothing, quadratic, and logarithmic trends. The calculations and analysis were carried out using Microsoft Excel. The results were compared using known performance evaluation metrics such as mean absolute percentage error (MAPE) and root mean square error (RMSE). Cubic root mean error (CRME) was introduced as a performance evaluation metric. The hybrid (quadratic-logarithmic) method was found to outperform the other individual trendline methods. This method produced the lowest value of MAPE, RMSE, and CRME representing 14.41%, 14.68%, and 14.65% respectively which indicated that hybrid model performs better than individual models operating separately when used in forecasting.]]>
<![CDATA[Reliability analysis of an automated radial distribution feeder for different configurations and considering the effect of forecasted electrical vehicle charging stations ]]>
<![CDATA[Rekha, V. Swarna]]>;
<![CDATA[Vidyasagar, E.]]>
<![CDATA[ International Journal of Applied Power Engineering (IJAPE) Vol 13, No 1: March 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijape.v13.i1.pp178-185
<![CDATA[In the future, the expansion of electrical vehicles is becoming more prevalent, which requires electric vehicle charging stations (EVCS), and at the same time, distribution automation and smart grid technology will be implemented as part of the reforms in the distribution system. This paper reviews the effect of the increased EVCS, which causes an increase in the magnitude of current and moderates the average failure rate of feeder sections. The implementation of distribution automation and a smart grid reduces the average restoration time, thereby increasing the reliability of the distribution system. The number of electrical vehicles (EVs) for the years 2025 and 2030 is forecasted using Holt's model, and the corresponding average failure rate of feeder sections is calculated. The average switching time for adopting distribution automation and smart grid technology is taken as 5 seconds and 20 milliseconds, respectively. The voltages, power losses, and reliability indices are calculated assuming the EV charging points are located with equal capacity at all load buses for different configurations of radial feeders. The results are compared with the reliability indices of the feeder of all the configurations in the absence of EV charging station loads, automation, and smart grid technology. This work is validated on a standard IEEE 33 test bus system.]]>
