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24,371 Article Results

High order sliding mode control for grid integration of photovoltaic systems

10.11591/ijape.v14.i1.pp118-126
Noureddine Ech-cherki , Oumaima Echab , Youssef Errami , Abdellatif Obbadi , Smail Sahnoun , Mohssin Aoutoul
The article suggests employing second-order sliding mode control (SOSMC) to manage photovoltaic systems (PVS) connected to the electrical grid. These systems face complexities due to non-linearities, variability, uncertainties, disturbances, and climate changes. The proposed control strategy utilizes two converters: one at the photovoltaic generator (PVG) side for maximum power point tracking (MPPT) to optimize energy generation and another at the grid connection point to regulate power injection into the grid and maintain the DC bus voltage (Vdc) while achieving unit power factor (UPF). Both converters are equipped with SOSMC controllers, enabling independent adjustment of active (P) and reactive (Q) power. This approach aims to enhance the energy efficiency and robustness of PVS under varying climatic conditions. The performance of the system is evaluated under standard and variable irradiation conditions using the MATLAB/Simulink environment. Simulation results indicate that SOSMC significantly improves system performance and efficiency compared to conventional vector control (CVC). Notably, it reduces active power overshoot by 100%, decreases Vdc response time, and lowers total harmonic distortion (THD) of the current to 1.19%, demonstrating its effectiveness across different irradiation levels.
Volume: 14
Issue: 1
Page: 118-126
Publish at: 2025-03-01

Analysis of the soft switching modes for energy loss measurement of high frequency closed-loop boost converter

10.11591/ijape.v14.i1.pp64-73
Ajoya Kumar Pradhan , Sarita Samal , Prasanta Kumar Barik , Smrutiranjan Nayak
This manuscript explains the analysis of the soft switching technology to measure the energy loss of high-frequency closed loop boost converter with zero-current switching (ZCS) and zero-voltage switching (ZVS) techniques. To get these attributes, the use of soft power converters that utilize soft switching techniques is essential. This paper examines the ZCS/ZVS AC/DC converter design, used in high-power systems for renewable energy and battery charging. This converter architecture ensures semiconductor switches turn on and off at zero voltage and current. It smooths rectifier diodes, reducing switching and reverse recovery losses. It has better power quality, efficiency, and input power factor. Practical study has been done to verify the converter's theoretical analysis. Empirical research shows gentle switching enhances system efficiency. Energy losses are reduced by 26% while turning on and 20% when turning off compared to the ZVS and ZCS. The prototype converter is built to corroborate simulation results. Compared to ZVS and ZCS, switching losses are lower and efficiency decline is modest across the operating range. This shows that the simulation and experimental results are consistent.
Volume: 14
Issue: 1
Page: 64-73
Publish at: 2025-03-01

Performance analysis of conventional multilevel inverter driven PMSM drive in EV applications

10.11591/ijape.v14.i1.pp37-45
Rakesh G. Shriwastava , Pravin B. Pokle , Ajay M. Mendhe , Nitin Dhote , Rajendra M. Rewatkar , Rahul Mapari , Ranjit Dhunde , Hemant R. Bhagat Patil , Ramesh Pawase
This paper describes the simulation and hardware analysis of a two-level inverter-driven permanent magnet synchronous motor (PMSM) drive in EV applications. The design of various sections of PMSM Drive is discussed in detail. This proposed work is based on the voltage source converter (VSC) fed four-pole, 373 W. This paper highlights the design and implementation using a microcontroller of (PMSM) drive for various operating conditions. The experimental results show that the control and power circuit used in the design can achieve excellent and consistent speed performance. The performance along with test results of the speed and load variation of the PMSM drive is studied for steady-state conditions. The performance of the motor has been checked by increasing the inverter frequency with the speed of the motor and also keeping the frequency remains constant by varying the load and speed. Hardware analysis indicates the improved performance of the motor and the drive. It has good speed and torque responses and is suitable for EPS applications.
Volume: 14
Issue: 1
Page: 37-45
Publish at: 2025-03-01

Optimal distributed generator placement for loss reduction using fuzzy and adaptive grey wolf algorithm

10.11591/ijape.v14.i1.pp155-162
Daruru Sarika , Palepu Suresh Babu , Pasala Gopi , Manubolu Damodar Reddy , Suresh Babu Potladurty
This research provides a new methodology for locating distributed generation (DG) units in distribution electrical networks utilizing the fuzzy and adaptive grey wolf optimization algorithm (AGWOA) to decrease power losses and enhance the voltage profile. Everyday living relies heavily on electrical energy. The promotion of generating electrical power from renewable energy sources such as wind, tidal wave, and solar energy has arisen due to the significant value placed on all prospective energy sources capable of producing it. There has been substantial research on integrating distributed generation into the electricity system due to the growing interest in renewable sources in recent years. The primary reason for adding distributed generation sources for the network is to supply a net quantity of power, lowering power losses. Determining the amount and location of local generation is crucial for reducing the line losses of power systems. Numerous studies have been conducted to determine the best location for distributed generation. In this study, DG unit placement is determined using a fuzzy technique. In contrast, photovoltaic (PV) and capacitor placement and size are determined simultaneously using an adaptive grey wolf technique based on the cunning behavior of wolves. The proposed method is developed using the MATLAB programming language; the results are then provided after testing on test systems with 33-bus and 15-bus.
Volume: 14
Issue: 1
Page: 155-162
Publish at: 2025-03-01

Optimal control of the UPFC for the stability of electrical networks

10.11591/ijape.v14.i1.pp180-187
Houria Ababsia , Djalel Dib , Abdelghani Djeddi
The unified power flow controller (UPFC) is a crucial element in contemporary power systems, specifically engineered to augment the manageability and adaptability of power transmission in electrical networks. UPFC provides instantaneous modifications to voltage magnitude, phase angle, and line impedance by using sophisticated power electronics and control algorithms. This research examines the function of the unified power flow controller (UPFC) in enhancing the power quality of electrical networks. The UPFC's capacity to dynamically regulate and optimize power flow assists in minimizing voltage fluctuations, decreasing transmission line losses, and improving system stability. In addition, UPFC effectively addresses problems such as voltage sags, swells, and flickers, hence enhancing the resilience and dependability of the power supply. This research highlights the importance of unified power flow control (UPFC) technology in improving system performance and power quality of electrical networks via a thorough examination of its applications. This article presents research on the performance of the unified power flow controller (UPFC) device in a network, specifically focusing on the use of PID and FO-PID controllers for regulating active and passive power.
Volume: 14
Issue: 1
Page: 180-187
Publish at: 2025-03-01

Energy storage participation for frequency regulation of microgrid in PV-dominated power system

10.11591/ijape.v14.i1.pp109-117
Nirdesh Singh , Dinesh Kumar Jain
The frequency stability of a power grid is effectively managed through the inertia and power reserves supplied by synchronous generators. Due to increasing concerns about the greenhouse effect and global warming, renewable energy sources (or microgrids) are increasingly replacing traditional fossil fuel-based methods of electricity generation. As microgrid deployment proliferates, power systems' inherent complexity and non-linear dynamics have escalated, rendering conventional controllers inadequate across diverse operating conditions. Factors such as reduced energy inertia, heightened penetration of renewable energy sources, and significant power fluctuations within confined transmission systems have heightened the vulnerability of microgrid frequencies to instability. This paper elucidates the concept of microgrids, examines frequency fluctuations in the presence of solar and diesel generators alongside load variations, and presents simulation-based analyses. Moreover, it provides a succinct overview of frequency control methodologies. Validation outcomes demonstrate the efficacy of the proposed controller in maintaining system frequency amidst fluctuating load demands and renewable energy inputs.
Volume: 14
Issue: 1
Page: 109-117
Publish at: 2025-03-01

Design and control of a grid-connected solar-wind hybrid sustainable energy generation systems using DFIG

10.11591/ijape.v14.i1.pp188-201
G. B. Arjun Kumar , M. Balamurugan , K. N. Sunil Kumar , Ravi Gatti
An optimal control of a grid-connected solar-wind hybrid scheme for the electricity generation system by utilizing both wind and solar renewable energy in a remote region that is inaccessible to the electricity grid. The control and assessment of a hybrid sustainable energy generation system power system that supplies three-phase, four-line loads as well as a battery array are presented in this research work. Wind energy conversion system (WECS) is comprised of a doubly-fed induction generator (DFIG) and two pulse width modulation (PWM) voltage source converters, namely the grid side converter (GSC) and the rotor side converter (RSC), which are linked together via a DC-link and are equipped with a technique for maximum power point tracking (MPPT). The grid voltage-oriented control strategy is employed to provide a consistent DC-bus voltage for the GSC and to regulate the reactive power on the power grid. Even the difference in voltage and frequency can be controlled with this novel strategy. The stator voltage-oriented vector technique is designed in the RSC control strategy, resulting in effective regulation of reactive and active power at the stator as well as an MPPT obtained by controlling the optimal torque. The hybrid sustainable energy generating system (HSEGS) simulation model is designed to have a capacity of 5 kW, and its efficiency is evaluated using the MATLAB/ Simulink platform and demonstrated in a variety of circumstances.
Volume: 14
Issue: 1
Page: 188-201
Publish at: 2025-03-01

An optimal energy management strategy for a stand-alone PV/wind/battery hybrid energy system

10.11591/ijape.v14.i1.pp212-223
Otmane Zebraoui , Mostafa Bouzi , Badr Nasiri
This paper presents an optimization study of a stand-alone hybrid energy system that includes a photovoltaic energy generator, a wind energy generator, and lithium-ion storage batteries. In the proposed system architecture, solar, and wind sources are utilized as the primary power generators, while batteries serve as a secondary storage to ensure system autonomy across varying weather conditions. The aim is to improve system performance through an optimal energy management strategy that addresses operational constraints and electrical load needs while managing energy flow between sources and controlling the storage system. To manage energy flow between sources and load, an intelligent approach using a hierarchical algorithm is proposed to configure the optimal operating mode based on the power from both sources, load power, and battery state of charge. Additionally, a controller is developed to manage battery operating modes, ensuring state of charge (SOC) limits and maintaining a constant direct current (DC) bus voltage. Under varying operating conditions, the simulation results show the efficiency of the proposed management strategy in maintaining the power balance between supply and demand, providing a stable and continuous power supply, and keeping the batteries SOC within its limits and the DC bus voltage at its reference value.
Volume: 14
Issue: 1
Page: 212-223
Publish at: 2025-03-01

Comparison of dual isolated converters with flyback converters for bidirectional energy transfer

10.11591/ijape.v14.i1.pp55-63
Rahul G. Mapari , Kishor Bhangale , Sunil Somnath Kadlag , Rakesh Shriwastava
This article demonstrates a proposed technique for improving single-stage rectifiers' power factor (PF) and controlling the load voltage in response to grid voltage and load changes. To alleviate the above problem, this article offers a novel bi-directional continuous switching pulse width modulation (CSPWM) and sinusoidal pulse width modulation (SPWM) based converter that can improve PF and reduce harmonics. This converter is evaluated based on two cases, Case I: CSPWM-based rectification and SPWM-based inversion scheme, and Case II: Rectification and inversion, both operations using the SPWM scheme. The proposed control scheme uses two Bi-directional IGBTs and two diodes, which are bridgeless, do not need a transformer, and are free from the output current sensor. The suggested scheme is simulated using MATLAB/Simulink and implemented on DSPic33FJ64mc802 platforms to validate the effectiveness of the proposed approach using two cases for a 1 KW system. The suggested control scheme provides improved PF, good voltage regulation, and depreciation in harmonics and total harmonic distortions (THD) compared to existing systems that enhance converter performance.
Volume: 14
Issue: 1
Page: 55-63
Publish at: 2025-03-01

Solar photovoltaic system fed water pumping system using BLDC motor with single input and multiple output converter

10.11591/ijape.v14.i1.pp74-80
Kommera Chaitanya , Arjyadhara Pradhan , Babita Panda
In recent times energy based on renewable energy sources is a good long-term alternative compared with traditional fossil fuel energy sources solar photovoltaic model-based irrigation water pump systems have gained more popularity. The one-input and multi-output converters are focused on BLDC motor drive-based solar photovoltaic with water pump. To model one input and multiple output converter components are connected viz it achieves tracking purpose and BLDC drive soft starting. The one-input and multiple-output converter exhibits the features of all converters and remarkably appears with the converter in the application of solar photovoltaic systems. It describes performance under varying environmental and inspects the BLDC motor effective with the suggested single input and multiple output converter for solar photovoltaic with a water pump with 95% efficacy and the price is USD 0.6/W. Test results have confirmed the BLDC motor suitability for solar photovoltaic with water pump employing MATLAB Toolbox followed by the test result verification. It is simply developed for rural areas because it is low cost, simple, and low maintenance.
Volume: 14
Issue: 1
Page: 74-80
Publish at: 2025-03-01

Innovation of control valve motorization method for regulating turbine rotation in micro hydro generators

10.11591/ijape.v14.i1.pp90-100
Supri Hardi , Nelly Safitri , Yaman Yaman , Radhiah Radhiah , Jamaluddin Jamaluddin
The method of transferring the main load to the dummy load is still used in micro hydropower plants. Because the turbine and generator are constantly operating at maximum capacity, the load transfer system, also known as the electronic load control (ELC) system, is ineffective and inefficient. The researcher devised a method for controlling the pressure/flow rate on the branch pipe by using a control valve motorized (CVM). Control valve motorized (CVM) is responsible for the opening and closing of branch pipelines using an electric motor. The goal is to achieve voltage and frequency stability by using CVM to adjust the flow/pressure of water in the branch pipe. The method involves designing and testing the CVM system via a Pelton turbine module connected to the generator. The results of testing the Pelton turbine module with a pressure of 4 kg/cm2 on a 34-inch pipe show that the turbine rotates at 800 rpm. Brushless direct current (BLDC) generator with 12 poles and a Pelton turbine. The proportional integral derivative (PID) controller control parameters are calculated by the control system using the Nichols-Ziggler method, with tuning results of PB 130%, Ti 2.8 seconds, and Td 0.7 seconds. A frequency of 50 Hz and a voltage of 61 volts is produced by controlling the set point (SP) at 55% of the process variable (PV) and the manipulated variable (MV) to CVM at 38%, respectively. The conditions are implemented by varying the load on the system by connecting and disconnecting the load; the system remains stable for 5 seconds.
Volume: 14
Issue: 1
Page: 90-100
Publish at: 2025-03-01

DTC analysis of DCMLI driven PMSM-SVM drive

10.11591/ijape.v14.i1.pp235-243
Rakesh G. Shriwastava , Pravin B. Pokle , Ajay M. Mendhe , Nitin Dhote , Rajendra M. Rewatkar , Rahul Mapari , Ranjit Dhunde , Hemant R. Bhagat Patil , Ramesh Pawase
The paper focuses on a comparative analysis of direct torque control (DTC) space vector modulation (SVM) based permanent magnet synchronous motor (PMSM) drive. This comparative analysis is based on a conventional inverter and a 3-level dual-cell modular multilevel inverter (DCMLI) using the SVM technique using MATLAB simulation. The present DTC-PMSM drive consists of flux and torque hysteresis comparators and has a problem of switching frequency and torque ripple. The problems are solved by using SVM to provide more inverter voltage and it compensates for torque and flux error in a DTC. A reference voltage space vector is calculated every time using the algorithm on the basic of torque error and stator flux angle. It was proposed to control torque, torque angle, and stator flux in DTC-PMSM. From the detailed comparison, the DTC-DCMLI PMSM drive has an exact solution of problem-solving of switching frequency and torque ripple due to less distorted output. Proposed drives can be applicable for hardware implementation in automotive applications.
Volume: 14
Issue: 1
Page: 235-243
Publish at: 2025-03-01

Optimizing standalone dual PV systems with four-port converter technology

10.11591/ijape.v14.i1.pp81-89
Sharma Sha , Rajambal Kalayanasundaram
This paper analyses the four-port converter (FPC) based PV system. The discussed FPC is developed for hybrid energy sources (HES) with the merits of a single converting stage, fewer switches, and simple topology. By tapping two source ports from the midway of its two switching legs, the FPC presented in this work is developed from the basic full bridge converter (FBC). The pulses are produced using the phase angle control with pulse width modulation (PPAS) technique. Different modes of operation of the FPC are analyzed elaborately to give an insight into its topology. To efficiently manage power distribution among the ports and regulate their voltage, two key control variables have been utilized: duty ratio and phase angle. An in-depth presentation is provided on the design and modeling of a four-port converter. It provides autonomous management of power allocation among terminals and regulation of load voltage. Finally, simulated key waveforms of the FPC and simulation results to demonstrate the decoupled regulation of power sharing and load voltage of a PV system under varying input and output conditions are presented. The experimental prototype of the four-port converter results is discussed and presented in detail.
Volume: 14
Issue: 1
Page: 81-89
Publish at: 2025-03-01

A comparative analysis of ANFIS and fuzzy controllers for a dynamic hybrid model

10.11591/ijape.v14.i1.pp244-254
Laoufi Kaltoum , Youssef Mouloudi , Abdeldjebar Hazzab , Abdallah Ben Abdelkader
Transitioning from combustion engines to electric motors is essential to reduce CO₂ emissions and combat climate change. This study presents a dynamic hybrid model combining a fuel cell and battery for electric vehicles, emphasizing simplified parameter extraction from battery datasheets. The model integrates two energy storage systems: batteries for electrochemical storage and hydrogen for chemical storage, converted into electricity via a fuel cell stack. This dual approach enables flexible refueling options with electricity or hydrogen. An air compressor in the proton exchange membrane (PEM) fuel cell stack optimizes performance across varying driving conditions. The research aims to minimize fuel cell consumption and enhance energy storage efficiency using Sim Power Systems software. It employs traditional proportional integral derivative (PID) controllers and advanced optimization techniques, including fuzzy and ANFIS, to achieve optimal power distribution between the fuel cell system (FCS) and the energy secondary source (ESS) for specific road scenarios. The proposed ANFIS-based approach demonstrates superior control in balancing energy efficiency and driving dynamics, surpassing both PID and fuzzy logic controllers in key metrics. This innovative closed-loop control system offers a promising solution for hybrid electric vehicles, ensuring optimal performance and energy management.
Volume: 14
Issue: 1
Page: 244-254
Publish at: 2025-03-01

An effective transformer less 7 level inverter with optimized PID and buck boost controller for grid-connected PV systems

10.11591/ijape.v14.i1.pp23-36
B. Mohan Rao , Mohammad Haseeb Khan , B. Mangu
This research paper presents an effective transformer-less seven-level inverter with an optimized proportional-integral-derivative (PID) controller and buck-boost controller for grid-connected photovoltaic (PV) systems. The proposed model aims to achieve optimum power quality (PQ) in a hybrid power system integrating battery and PV. This is accomplished by utilizing a unified power quality conditioner (UPQC-PQ) with active and reactive power is developed, utilizing a hybrid metaheuristic algorithm named the honey badger algorithm (HBA) along with the equilibrium optimization algorithm (EOA), referred to as the honey badger equilibrium optimization (HBEO) algorithm. The PID controller in the proposed model is optimized using the HBEO algorithm, resulting in a highly efficient hybrid renewable energy system. By incorporating a 7-level multilevel inverter model with minimal switch usage (only 5 switches instead of 12), the proposed model ensures minimal switching losses. The proposed model is implemented and verified through the MATLAB/Simulink platform.
Volume: 14
Issue: 1
Page: 23-36
Publish at: 2025-03-01
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