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International Journal of Power Electronics and Drive Systems (IJPEDS)
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
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.
Arjuna Subject : -
Articles 2,660 Documents
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Multi-objective algorithm for hybrid microgrid energy management based on multi-agent system Tyass, Ilham; Bellat, Abdelouahed; Raihani, Abdelhadi; Mansouri, Khalifa
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp1235-1246

Abstract

In the dynamic landscape of renewable energies, microgrid systems emerge as a promising avenue for fostering sustainable local energy generation. However, the effective management of energy resources holds the key to unlocking their full potential. This study assumes the task of creating a multi-objective optimization algorithm for microgrid energy management. At its core, the algorithm places a premium on seamlessly integrating renewable energy sources and orchestrating efficient storage coordination. Leveraging the prowess of a multi-agent system, it allocates and utilizes energy resources. Through the combination of renewable sources, storage mechanisms, and variable loads, the algorithm promotes energy efficiency and ensures a steady power supply. This transformative solution is underscored by the algorithm's remarkable performance in practical simulations and validations across diverse microgrid scenarios, offering a prevue into the future of sustainable energy utilization.
An innovative fuzzy logic frequency regulation strategy for two-area power systems Nireekshana, Namburi; Ramachandran, R.; Narayana, Goddati Venkata
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp603-610

Abstract

Modern environmentally friendly power system designs offer several application benefits, but they also generate losses. In order for this structured power system to operate reliably, the total generation, total load demand, and system losses must be balanced. Changes in load demand disrupt both the real and reactive power balances. As a result, the system frequency and tie-line interchange power differ from their planned values. A large variance in system frequency can cause the system to crash. Multiple connected area systems use clever load frequency control techniques in this scenario to deliver dependable and high-quality frequency and tie-line power delivery. In this case, a freestanding hybrid power system is considered, with generated power and frequency intelligently managed. In addition to the unpredictability of the wind, frequent changes in the load profile can result in significant and damaging power variations. The output power of such renewable sources may fluctuate to the point where major frequency and voltage variations occur in the system. The fuzzy logic PID controller (FLPIDC) is an intelligent approach recently proposed to address the load frequency control (LFC) issue of an interconnected power system. Standard proportional integral derivative (PID) controllers operate each section of the system.
Bidirectional power flow in an electric vehicle using predictive control algorithm including sneak circuit analysis Eti, Sri Latha; Sudha, Kasibhatla Rama; Lahari, Molleti Venkata Pankaj; Sekhar, Akkapeddi Chandra
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1319-1330

Abstract

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.
Experimental study on modified GOA-MPPT for PV system under mismatch conditions Muhammad, Nur Afida; Tajuddin, Mohammad Faridun Naim; Azmi, Azralmukmin; Jamaludin, Mohd Nasrul Izzani; Ayob, Shahrin Md; Sutikno, Tole
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp611-622

Abstract

This paper presents a modified grasshopper optimization algorithm (GOA) tailored for optimizing the power extraction capability of a solar photovoltaic (PV) system. The algorithm`s focus is on addressing one of the issues associated with mismatch loss (MML), particularly the mismatch (MM) in solar irradiance conditions, to attain maximum output power. The core strategy of the GOA involves optimizing the duty cycles of the converter to achieve the maximum power point (MPP) for the PV system. The PV system configuration comprises three PV modules connected in series and a SEPIC converter. To facilitate efficient maximum power point tracking (MPPT), the paper proposes using the GOA as a controlling mechanism. The study employs a comparative approach, contrasting the performance of the proposed system against established algorithms, such as PSO and GWO. The results of these evaluations exhibit the superior performance of the proposed GOA when compared to other optimization techniques. The GOA exhibits exceptional MPPT tracking characteristics, characterized by rapid tracking speed, heightened efficiency, and minimal oscillations within the PV system. Consequently, the GOA effectively addresses one of the MML issues.
A stacked LSTM model for day-ahead solar irradiance forecasting under tropical seasons in Java-Bali Nugroho, Muhammad Very; Prastawa, Andhika; Mardiansah, Fajril; Rezavidi, Arya; Fudholi, Ahmad; Palaloi, Sudirman
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1878-1891

Abstract

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.
A review on soft computing techniques used in induction motor drive application Durgasukumar, Gadwala; Prasad, Repana Ramanjan; Gorantla, Srinivasa Rao
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp753-768

Abstract

In this paper, hybrid models based on fuzzy systems and neural networks are reviewed. A fuzzy inference system is explicitly represented by expertise for induction motor drives, incorporating the learning capability of artificial neural networks. Researchers have been attracted to neuro-fuzzy techniques for training and inference in induction motor drives due to their efficiency. According to the classification of research articles from 2000 to 2020, this article presents a review of different artificial neural network techniques, fuzzy and neuro-fuzzy systems. The main objective is to provide a concise overview of current neuro-fuzzy research and to enable readers to identify appropriate methods according to their research interests. 
The implementation of an optimized neural network in a hybrid system for energy management Jarmouni, Ezzitouni; Mouhsen, Ahmed; Lamhamdi, Mohamed; Ennajih, Elmehdi; Ennaoui, Ilias; Krari, Ayoub
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp815-823

Abstract

In the face of increasing global energy demand and volatile energy prices, many countries are searching for solutions to ensure their energy independence. One of the most popular solutions is to incorporate renewable energy sources in their energy systems. While there are many advantages to integrating renewable energy sources, it is important to note that their intermittent operation can present challenges. Energy storage and smart grid management systems are key solutions to overcome these challenges and ensure sustainable, reliable use of renewable energy sources. In this article, we present an intelligent electrical energy management system for hybrid energy systems. This management system is based on a multi-layer neural network that has undergone an architecture optimization phase to improve the accuracy of real-time energy management and simplify its implementation. The management model that was built demonstrated highly good performance across a range of test circumstances.
Solar pumps automation system using programmable logic controller for pumped hydro storage Syafii, Syafii; Azizah, Farah; Salfikri, Iqbal
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1517-1525

Abstract

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.
Predictive controllers for synchronous reluctance motor drive systems Mubarok, Muhammad Syahril; B., Nur Vidia Laksmi; Liu, Tian-Hua
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp98-108

Abstract

This paper proposes the design and implementation of predictive controllers for synchronous reluctance motor drive systems to enhance their dynamic responses. The predictive speed and current controllers in this paper are designed in systematic procedures. The predictive speed controller is implemented by using Laguerre function procedure. The Laguerre function is used to simplify the algorithm and to minimize the execution time of the digital signal processor. For predictive current controller, a finite control set method improves the current tracking ability. The measured currents are used to predict the future phase-current based on the motor model. The optimal control inputs of both predictive controllers are determined by using a cost function minimization method. Experimental results show the proposed drive system provides a wide adjustable speed range, from 2 r/min to 1800 r/min. It has better performance than a proportional-integral (PI) controller including fast rise time, which is 0.9 second, small steady state error, which is 0.32 r/min, and small current ripples. A 32-bit floating-point digital signal processor, TMS-320-F-28335 DSP, is employed to implement the control algorithms.
Optimizing resilience in large-scale integration of renewable energy sources: Exploring the role of STATCOM device Chandarhasn, Chelladurai; Percis, Edwin Sheeba
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1468-1477

Abstract

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.

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