International Journal of Power Electronics and Drive Systems (IJPEDS)
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
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<![CDATA[Solar-powered seaweed powder milling: enhancing value in the blue economy ]]>
<![CDATA[Nugraha, I Made Aditya]]>;
<![CDATA[Desnanjaya, I Gusti Made Ngurah]]>;
<![CDATA[Luthfiani, Febi]]>;
<![CDATA[Idrus, Muhamad Amril]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1810-1817
<![CDATA[Design and build a seaweed powder milling machine with the blue economy concept is one form of increasing the added value of selling seaweed in Indonesia and utilizing solar energy which is so abundant in Indonesia by using photovoltaic system. This machine is expected to increase the income of seaweed cultivators, and indirectly support the blue economy policy which is one of the policies in Indonesia. Design and build this machine using several supporting components, such as solar panel, battery control unit (BCU), inverter, battery, and motor to drive the seaweed powder milling machine. Testing is carried out by measuring the voltage and current output, and adding environmental conditions. Apart from that, the economics of the machine are also analyzed. Based on the results obtained, the machine can produce electrical energy in the range of 396.95-646 Wh/day, and can operate for up to 131 minutes, with a seaweed flour output of 10-20 kg per hour. From an economic perspective, the payback period is 0.22 years, NPV of IDR 605,286,359.01, with an IRR of 449%. From this value it can be seen that economically the tool is profitable if used by seaweed cultivators.]]>
<![CDATA[AC to DC bridgeless SEPIC converter-based fuel cell emulator ]]>
<![CDATA[Prajapati, Ashish]]>;
<![CDATA[Gupta, Tripurari Das]]>;
<![CDATA[Chaudhary, Kalpana]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1651-1661
<![CDATA[Fuel cell (FC) technology is still in a growing phase and intensive research is required for its wider applications. However, the high cost of the FC stack is a major hurdle for researchers. This paper presents a new method of FC emulation done by using a Bridgeless SEPIC converter (BSC). The key features of the designed emulator are single stage AC-DC conversion, improved efficiency and nearly unity power factor at the input side. AC-DC BSC is controlled by using the coded model to emulate the behavior of FC. The emulated FC exhibits all three characteristics activation losses, ohmic losses, and concentration losses during operation. The MATLAB/Simulink background is used to implement the FC model and compile it into a C program. The real-time mathematical model is implemented by using a DSP(TMS320F28335) controller. Analysis, modeling, and control strategy of emulated FC are presented, static and dynamic behavior is validated through the 950W laboratory developed prototype.]]>
<![CDATA[Bidirectional power flow in an electric vehicle using predictive control algorithm including sneak circuit analysis ]]>
<![CDATA[Eti, Sri Latha]]>;
<![CDATA[Sudha, Kasibhatla Rama]]>;
<![CDATA[Lahari, Molleti Venkata Pankaj]]>;
<![CDATA[Sekhar, Akkapeddi Chandra]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1319-1330
<![CDATA[The use of electric vehicle battery chargers is becoming more common for transferring power between grid and energy storage system. This paper focuses on providing a comprehensive understanding of various modes of operation of these battery chargers. Two different controllers are used; one is the predictive power controller at the grid end to generate active and reactive power references to operate a 3-phase AC/DC converter connected between the power grid and the DC link and the other is a hysteresis current controller used to operate a reversible DC/DC converter connected between the DC link and electric vehicle battery and is considered as the main component of the energy storage system. Also, sneak circuit analysis is carried out on the DC/DC converter and the controller is designed accordingly. Results from simulations validate the suggested control scheme's viability and efficacy. The adopted topology is validated in real time with dSpace 1104 hardware in the loop prototype operating in different scenarios, both in steady-state and during transients.]]>
<![CDATA[A stacked LSTM model for day-ahead solar irradiance forecasting under tropical seasons in Java-Bali ]]>
<![CDATA[Nugroho, Muhammad Very]]>;
<![CDATA[Prastawa, Andhika]]>;
<![CDATA[Mardiansah, Fajril]]>;
<![CDATA[Rezavidi, Arya]]>;
<![CDATA[Fudholi, Ahmad]]>;
<![CDATA[Palaloi, Sudirman]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1878-1891
<![CDATA[Accurate short-term solar irradiance forecasting is essential for the efficient management and planning of power generation, especially for solar energy, which holds a major role in the Indonesian Government’s energy transition policy. A novel day-ahead solar irradiance forecasting is proposed using a stacked long short-term memory (LSTM) model to support the energy planning in the Java-Bali grid. The proposed model utilizes the first historical solar irradiance data of Java-Bali obtained from direct measurement to forecast the next day’s hourly irradiance. The results are compared with the methods of autoregressive integrated moving average (ARIMA) and recurrent neural network (RNN). This study revealed that the proposed model outperforms ARIMA and RNN, and regarded as a highly accurate forecast since root mean square error (RMSE), mean absolute percentage error (MAPE), and R2 are 25.56 W/m2, 7.27%, and 0.99, respectively. The stacked LSTM produces better forecasting in the dry season than in the wet season. The MAPE indicates that the LSTM's lowest accuracy for the dry season was 13.99%, which is categorized as a good forecast. The LSTM’s highest MAPE in the rainy season is 34.04%, which is categorized as a reasonable forecast. The proposed model shows its superiority and capability as a promising approach for short-term solar irradiance forecasting in Java-Bali.]]>
<![CDATA[Solar pumps automation system using programmable logic controller for pumped hydro storage ]]>
<![CDATA[Syafii, Syafii]]>;
<![CDATA[Azizah, Farah]]>;
<![CDATA[Salfikri, Iqbal]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1517-1525
<![CDATA[Pumped hydro storage (PHS) is an energy storage technology that uses electrical energy to pump water to a higher reservoir. The water is then released back into the lower reservoir to generate electricity. If the water source is limited, the pump must be stopped to prevent damage. The automation system can improve the pump's performance and protect it from damage. Therefore, a Solar pumps automation system using a programmable logic controller for pumped hydro storage is developed to avoid damage due to overheating that can damage the pump. With this automation system, the pump will automatically stop working when no water flows. The automation system at PHS will use a programmable logic controller or PLC as the controller, with a water flow sensor and an ultrasonic sensor to measure water levels. Arduino will assist in reading the analogue input on the PLC. The research shows that all the sensors work well with an error under 0.4%. The pump will turn on when the water level is less than 30 cm, while the pump will turn off when the water flow is less than 20 liters/minute. The pump can flow water stably at a water flow value level of 25-26 liters/minute.]]>
<![CDATA[Optimizing resilience in large-scale integration of renewable energy sources: Exploring the role of STATCOM device ]]>
<![CDATA[Chandarhasn, Chelladurai]]>;
<![CDATA[Percis, Edwin Sheeba]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1468-1477
<![CDATA[Modern power grids in regions with high renewable energy sources face unique challenges. Incorporating renewable energy, like wind and solar, can cause voltage, frequency, and power fluctuations, leading to instability. This study focuses on Tamil Nadu's extra high voltage transmission system, which has significant wind generation. It explores the impact of large-scale renewable energy integration and proposes the use of static synchronous compensators (STATCOM), a part of flexible alternating current transmission systems (FACTS). STATCOM actively monitors and controls the grid, ensuring stability under unpredictable conditions. It is observed that the system maintains the grid stability with base rotor angle and voltage of 1.0 per unit during sudden loss 120 MW generator. Also, during the sudden loss of all renewable resources, the grid maintains the stability with rotor angle of 60 degree (base value). The findings provide insights into challenges and solutions, fortifying grid stability for accommodating more renewable energy without compromising reliability or efficiency.]]>
<![CDATA[An approach of dynamic wireless charging structure for an electric vehicle based on mutual inductance calculation ]]>
<![CDATA[Thangavel, Chithras]]>;
<![CDATA[Krishnamoorthy, Vinoth]]>;
<![CDATA[Jayasankar, Vairavasamy]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1564-1572
<![CDATA[A number of reasons, including the ongoing decline in photovoltaic (PV) module prices, the quick rise in electric vehicles (EV) sales, and worries about greenhouse gas emissions, have contributed to the increasing integration of PV with EV charging systems. This electric vehicle can be charged through dynamic wireless charging system while moving on separate charging lane, it will be eliminating the need to stop an hour for the sake of charging in parking stations. By this we can save time while travelling a long distance. Through a mobile app, these lanes can be found and followed. People also can pay through the same app when they are travel in particular lane. According to user needs, additional lanes may be added to highways or existing lanes may be widened to minimize traffic. It might be environmentally benign because a charge controller powers the battery using the solar system. By calculating an exact mutual inductance, we can automate the charging current. A solar panel, battery, transformer, AC to DC converter, regulatory circuits, copper coils are all used in the system. Also, we used here Arduino mega 2560 controller, GSM 900, and LCD display to develop the system. We can measure the state and consumption]]>
<![CDATA[Microgrid confrontations and smart resolution ]]>
<![CDATA[Modi, Sangeeta]]>;
<![CDATA[Usha, Pasumarthi]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1446-1455
<![CDATA[Hybrid microgrids are emerging as an alternate solution for connecting distributed AC/DC energy resources. Effective fault detection and response are highly essential for the microgrid controller (MGC) for protection of the microgrid. The conventional schemes of protection cannot be applied in microgrid because of dynamic conduct and unconventional topology of the microgrids. It is highly essential to develop an appropriate scheme for detection and classification of faults for the effective protection of microgrids. In this paper, a novel and smart solution based on the application of an intelligent machine learning (ML) fine tree algorithm is applied to the hybrid microgrid controller. This algorithm resulted in effective detection & classification of faults which in turn was used for separation of faulty segment. The intelligent model obtained with the proposed algorithm performed well and fault detection accuracy has been showcased for various fault scenarios. The overall fault detection accuracy obtained is 98%. Severity of faults and associated confrontations are also discussed in this work. Performance efficacy of the proposed ML based protection algorithm for MGC is substantiated in MATLAB environment.]]>
<![CDATA[Slip angle control based DTC of open-end winding induction motor drive using dual randomized decoupled PWM for acoustic noise mitigation in EV application ]]>
<![CDATA[Challa, Ganesh]]>;
<![CDATA[Reddy, M. Damodar]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1339-1347
<![CDATA[Reduced vibration, acoustic noise, and higher DC link utilization are advantageous for industrial drives and/or electric vehicle (EV) drives. Direct torque controlled (DTC) induction motor drives fulfill the stringent demands of the EV and/or industries of the modern era. However, torque and flux ripples occur at steady state conditions, resulting in increased acoustical noise. As a result, EV and/or workplace noise has emerged as a major issue, both in terms of human health and safety. The space vector pulse width modulation (SVPWM) improves DC bus utilization. However, SVPWM is less effective in reducing acoustic noise. Many random PWM (RPWM) approaches, including random zero vector PWM (RZVPWM), random pulse position modulation (RPPM), random carrier frequency modulation (RCFM), and RCFM-RPPM are effective in reducing acoustic noise. However, due to the decreased level of randomization, reducing noise remains problematic. This research proposes a decoupled hybrid dual randomized RPWM (HDRRPWM) schemes for slip angle control based DTC of an open-end winding induction motor drive for acoustic noise mitigation in EV applications. The suggested schemes aim to demonstrate the efficacy of HDRRPWMs in dispersing the acoustic noise spectrum as compared to traditional methods.]]>
<![CDATA[The prediction of the usual solar irradiation in the Sahel using the artificial neural networks (case study: 50 MW power plant in Nouakchott) ]]>
<![CDATA[Mohamed, Soukeyna]]>;
<![CDATA[Elvally, Vatma]]>;
<![CDATA[Mahmoud, Abdel Kader]]>;
<![CDATA[Zoubir, Aoulmi]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v15.i3.pp1739-1748
<![CDATA[The development of a model for predicting meteorological variables using a physical approach was our solution for modeling a solar system, this modeling was carried out in two stages. The first step is to predict the meteorological variable (solar irradiation) at the plant level and the second step is to use a generated energy model to convert these irradiation forecasts into a forecast of the generated energy by the plant. In this study we modeled the solar irradiation curve of the Nouakchott power plant (50 MW) using artificial neural networks (ANN) which create adaptive identification methods and intelligent control laws based on the principal learning, which consists of memorizing previous results and generalizing future results, ultimately modeling the given system. The development of the curve is carried out by carrying out a series of experiments which made it possible to converge towards a methodology offering good precision, using the data measured from solar irradiation over two years at the level of the Nouakchott site. The evaluation of the solar irradiation forecasting model, by calculating the statistical parameters, made it possible to record a normalized average absolute error between 0.121 and 0.126 and a regression factor R (measures the correlation among output-target) with the aid of using 98.4% and 98.5% and the evaluation among specific present techniques in literature display the goodness of the proposed models.]]>
