e-Prime - Advances in Electrical Engineering, Electronics and Energy最新文献

{"title":"Analyzing the influence of ZnO nanoparticles on transformer oil using dissolved gas analysis","authors":"Abhijeet Lal ,&nbsp;Anup Mishra ,&nbsp;Anupam Agrawal ,&nbsp;Rounak Kumar Tamrakar ,&nbsp;Nagendra Tripathi ,&nbsp;Sunil Kumar Chouhan","doi":"10.1016/j.prime.2025.101023","DOIUrl":"10.1016/j.prime.2025.101023","url":null,"abstract":"<div><div>Transformer oil-based nanofluids have attracted considerable attention in recent years due to their improved thermal and dielectric properties, which are essential for the efficient and reliable operation of power transformers. The addition of nanoparticles, such as Al₂O₃, SiO₂, TiO₂, and ZnO, plays a pivotal role in enhancing the heat dissipation and insulation characteristics of transformer oil. Despite this, research on the use of ZnO nanoparticles in transformer oil remains limited. This study focuses on the preparation and evaluation of transformer oil-based nanofluids with ZnO nanoparticles at varying weight percentages (0.01 %, 0.05 %, 0.075 %, and 0.1 %). Dissolved Gas Analysis (DGA) which identifies the types and concentrations of dissolved gas in transformer oil, can reveal details on fault indicators in power transformers. The diagnostic methods applied included the Doernenburg Ratio, Roger's Ratio, and the IEC method. In this study, we used the interpretation of the IEEE std 2008-C57.104 and IEC 2015-60599. The results of the DGA test are used to assess the conditions and identify potential disturbances in the power transformer. The outcome of the fault indication is also influenced by the different gas analysis techniques employed.The findings indicate that incorporating ZnO nanoparticles significantly alters the dissolved gas patterns, with each diagnostic method offering unique perspectives on fault conditions. Additionally, the results suggest that specific weight percentages of ZnO nanoparticles can enhance the performance of transformer oil, contributing to more reliable transformer operation.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101023"},"PeriodicalIF":0.0,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"VLSI design of symmetric two-dimensional finite impulse response filter architecture using approximate circuits and parallel Processing","authors":"Venkata Krishna Odugu ,&nbsp;Gade Harish Babu ,&nbsp;Janardhana Rao B ,&nbsp;C Venkata Narasimhulu","doi":"10.1016/j.prime.2025.101014","DOIUrl":"10.1016/j.prime.2025.101014","url":null,"abstract":"<div><div>This study presents an innovative filter architecture for a Two-Dimensional (2-D) FIR filter and illustrates its implementation in VLSI design through symmetric processing, parallelism, and approximate computing principles. When L is the block size, the architecture incorporates parallel processing to augment throughput by a factor of L. Symmetry is incorporated into the filter coefficients to minimize the number of multipliers needed for filter design. Approximate multipliers have been employed instead of the exact multipliers to reduce size and power usage. The diagonal symmetry coefficient matrix is analyzed, and consequently, the filter design is explored and implemented utilizing the proposed approximation multiplication technique with innovative approximate adders and compressors. The suggested filter design demonstrates minimum resource requirements in terms of hardware components and computational power. The hardware utilization summary is assessed for the architecture in Verilog HDL and its subsequent synthesis by Xilinx tools for the FPGA target device. Area, delay, and power reports are produced using Cadence's Genus tools for ASIC design in 45 nm CMOS technology. The examination of contemporary 2-D FIR filter designs versus traditional multiplier-based filter architectures emphasizes area, delay, and power consumption measurements. The suggested work plan is presented, detailing the Innovus technologies employed for placement and routing determination. The area, power, and delay reduction attained by the recommended symmetry filter is 51.9 %, 36.5 %, and 32.17 % than the general filter using normal multipliers and un-symmetry. The ADP &amp; PDP of the suggested filter structure is decreased by a minimum of 73.5 % &amp; 27.19 % and a maximum of 98.66 % &amp; 96.86 % compared to the current filter topologies. Additionally, real-time FPGA testing on the Xilinx Zynq-7000 platform validated the proposed 2-D FIR filter design, demonstrating high throughput and efficiency for edge vision applications.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101014"},"PeriodicalIF":0.0,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The uncertainties in the estimation of electricity production in the Brazilian onshore wind sector","authors":"Jéssica Cunha Pinheiro ,&nbsp;Raphael Amaral da Câmara","doi":"10.1016/j.prime.2025.100996","DOIUrl":"10.1016/j.prime.2025.100996","url":null,"abstract":"<div><div>Wind energy has emerged as a key component of the global transition to renewable sources. In Brazil, the onshore wind sector has experienced significant growth, accounting for approximately 16% of the country’s electricity generation. However, estimating wind energy production is subject to various uncertainties that can impact project feasibility, financial viability, and energy security. This study analyzes the key uncertainties in electricity production estimation, focusing on four pillars: accuracy, correlation, consistency, and corroboration. Accuracy concerns wind measurement precision, affected by instrument calibration, sensor placement, and data collection. Correlation involves long-term data adjustments, ensuring reliable resource assessment. Consistency addresses the integration of environmental factors into wind turbine performance models, while corroboration verifies data reliability through power curve validation. These uncertainties directly influence the expected energy output, affecting investment decisions and regulatory compliance. To mitigate risks, this study discusses best practices such as adopting high-precision measurement techniques, improving data processing models, and following regulatory guidelines set by the Energy Research Company (EPE), a Brazilian organization. The findings highlight the need for continuous advancements in forecasting methodologies to enhance reliability and investor confidence. By addressing these uncertainties, the Brazilian wind sector can achieve greater predictability in energy production, strengthening its role in a sustainable and diversified energy matrix.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100996"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Unified Optimization Framework for Cost-Effective and Voltage-Stable Operation of Renewable Energy-Based Microgrids Using Mixed-Integer Nonlinear Programming","authors":"Peter Anuoluwapo Gbadega,&nbsp;Yanxia Sun,&nbsp;Olufunke Abolaji Balogun","doi":"10.1016/j.prime.2025.101010","DOIUrl":"10.1016/j.prime.2025.101010","url":null,"abstract":"<div><div>This study explores economic dispatch (ED) and optimal power flow (OPF) optimization for microgrid systems, focusing on single-bus islanded and three-bus grid-tied configurations. The methodologies integrate renewable energy sources (solar PV and wind turbines), battery energy storage systems (BESS), and conventional generators (CHP, diesel, and natural gas) to ensure cost-efficient and reliable operation. A mixed-integer nonlinear programming (MINLP) framework is employed to simultaneously optimize ED and OPF under dynamic demand and weather conditions. The economic dispatch analysis evaluates both daily and weekly performance, revealing that optimized scheduling achieves a total operational cost reduction of 29% for single-bus islanded and 31% for three-bus grid-tied microgrid configurations compared to non-optimized scenarios, respectively. In the islanded microgrid, weekly operational costs are reduced from $5,950 to $4,200, while in the grid-tied configuration, costs drop from $4,550 to $3,150. Renewable energy sources contribute over 60% of the total energy supplied across configurations, significantly minimizing dependence on costly grid electricity and fuel-based generation. The strategic deployment of BESS enhances operational flexibility by storing excess renewable energy during low-demand or low-price periods and supplying it during peak hours. However, frequent and rapid charging of BESS highlights the need for improved modeling of real-world storage constraints to prevent performance degradation. The OPF analysis focuses on the spatial and temporal distribution of active and reactive power within the three-bus grid-tied microgrid while ensuring voltage stability within a ±10% boundary of the nominal 6kV. Results reveal that Bus 1 consistently provides the largest share of power, supplying approximately 45% of the total demand due to its cost-efficient combination of renewable energy and CHP units. Bus 2 contributes around 20%, constrained by limited solar PV availability during non-daylight hours and the higher operational costs of its natural gas generator, while Bus 3 meets the remaining 35% of demand. More so, the optimization prioritizes cheaper energy sources to achieve substantial cost savings, with the total weekly operational cost reduced by 29% compared to non-optimized scenarios. Despite maintaining voltage variations within acceptable limits, occasional dips and spikes during dynamic load changes suggest potential stability challenges over prolonged operations, emphasizing the need for secondary voltage control mechanisms to further enhance reliability.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101010"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing day-ahead power scheduling: A novel MIQCP approach for enhanced SCUC with renewable integration","authors":"Sina Samadi Gharehveran ,&nbsp;Kimia Shirini ,&nbsp;Selma Cheshmeh Khavar ,&nbsp;Arya Abdollahi","doi":"10.1016/j.prime.2025.101022","DOIUrl":"10.1016/j.prime.2025.101022","url":null,"abstract":"<div><div>This paper introduces an innovative methodology aimed at enhancing day-ahead power system scheduling by incorporating adaptable technologies within the framework of security-constrained unit commitment. The methodology is tailored for power systems characterized by significant integration of photovoltaic energy, with the goal of reducing operational expenses linked to energy storage systems, demand response initiatives, solar power curtailment, and load shedding. The scheduling issue is structured as a mixed-integer quadratically-constrained programming model, which guarantees globally optimal solutions for intricate, real-world applications. The developed model has been implemented using the GAMS and tested through extensive case studies on the IEEE 24-bus system. The findings reveal that the strategic coordination of flexible resources leads to a 5.6 % reduction in scheduling costs compared to traditional methods. This result highlights the model's effectiveness in improving operational efficiency and cost savings for power systems with high renewable energy penetration, establishing it as an essential tool for sustainable management of power systems.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101022"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved decomposition strategy based recurrent ensemble deep random vector functional link network for forecasting short-term electricity price","authors":"Ranjeeta Bisoi ,&nbsp;P.K. Dash ,&nbsp;Someswari Perla","doi":"10.1016/j.prime.2025.101024","DOIUrl":"10.1016/j.prime.2025.101024","url":null,"abstract":"<div><div>In the present scenario, accurate short-term electricity price forecasting in a deregulated electrical market is highly essential. Therefore, this paper presents a novel approach using a recurrent ensemble deep random vector functional link neural network (REDRVFLN) with recurrent neurons hybridized with an improved decomposition strategy known as successive variational mode decomposition (SVMD) for short-term electricity price forecasting. This approach results in better generalization capacity, very simple structure and significant prediction accuracy. SVMD is used to transform the non-linear and non-stationary electricity price time series successively into a set of regular sub-series known as intrinsic mode functions (IMFs). Therefore this new approach does not need to know the number of modes apriori like the widely used variational mode decomposition (VMD), resulting with less computational complexity and more robustness in comparison to VMD. Further to handle temporal dependencies in the input sequence of the electricity price time series data a locally recurrent ensemble random vector functional link network (REDRVFLN) with stacked layers is used for processing the IMFs (features) as input sequence. REDRVFLN utilizes features from both the direct link and nonlinearly transformed features from preceding enhancement layers with locally recurrent neurons with feedback paths and fixed random weights. Further each layer produces an output by simple matrix inversion based on generalized least squares and all the outputs from different layers are combined by taking the median to obtain the final forecast thus producing a framework of both ensemble and recurrent deep learning simultaneously. The suitability of the REDRVFLN model is validated on two electricity markets (PJM, NSW) data that exhibit the lowest errors as compared to many single and decomposition based models. To assess the forecasting accuracy and predictive ability of the proposed approach, comparative forecasting performance of several benchmark and randomized models have been presented in this paper.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101024"},"PeriodicalIF":0.0,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cooling photovoltaic panels with air convection – Parametric environmental and economic analysis with case studies","authors":"Tarek Ibrahim ,&nbsp;Jalal Faraj ,&nbsp;Khalid Kisswani ,&nbsp;Georges El Achkar ,&nbsp;Rabih Murr ,&nbsp;Mahmoud Khaled","doi":"10.1016/j.prime.2025.101020","DOIUrl":"10.1016/j.prime.2025.101020","url":null,"abstract":"<div><div>Photovoltaic (PV) panels generate electricity due to photoelectric effect, harvesting solar radiation from the sun. However, the hit of photons on the upper surface of the PV panel increases its temperature, and as a result, decreases its efficiency. The present work parametrically addresses the different economic and environmental aspects of cooling photovoltaic panels with air convection in free and forced convections for a house and a power plant. To proceed, a cluster of three different efficiency enhancements for three different cooling methods introduced in the literature have been considered and energy production, savings, and CO₂ emission reductions have been identified for the median value of each cluster for each cooling method, providing particular insights on PV application parametrically. The cooling methods retrieved from the literature and studied in the current investigation under the climatic condition of Lebanon were: forced convection PV (Forced-PV), free convection with finned plate PV (Free-Finned-PV), and forced convection with finned plate PV (Forced-Finned-PV). Results, multiplied by R, the ratio of application’s actual power consumption to the maximum PV power output, have shown that Forced-Finned-PV had the highest average energy enhancement, savings, and CO₂ reduction values of 569.09 × R kWh, $244.7 × R, and 330 × R kg respectively for the domestic house case, and 121045.81 × R kWh, $52049.69 × R, 70206.57 × R kg respectively for the power plant case. Results have also shown a payback period of 1.41 years, 1.32 years, and 1.21 years for the cases of forced convection with finned plate PV, free convection with finned plate, and forced convection PV respectively. Additionally, a direct linear relationship was noticed between the relative efficiency increase and the PV energy enhancement, savings increase, and CO₂ reduction, where during July month an average savings and CO₂ reduction of 23.51 <span><math><mrow><msup><mrow></mrow><mi>$</mi></msup><mo>/</mo><msub><mrow></mrow><msup><mrow><mi>m</mi></mrow><mn>2</mn></msup></msub></mrow></math></span> and 31.71 <span><math><mrow><msup><mrow></mrow><mrow><mi>k</mi><mi>g</mi></mrow></msup><mo>/</mo><msub><mrow></mrow><msup><mrow><mi>m</mi></mrow><mn>2</mn></msup></msub></mrow></math></span> were recorded respectively for an efficiency enhancement of 40%/.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101020"},"PeriodicalIF":0.0,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation and evaluation of a low-cost fabric-based tactile sensor in comparison with an sEMG sensor","authors":"Gasak Abdul-Hussain,&nbsp;William Holderbaum,&nbsp;Theodoros Theodoridis,&nbsp;Guowu Wei","doi":"10.1016/j.prime.2025.101016","DOIUrl":"10.1016/j.prime.2025.101016","url":null,"abstract":"<div><div>Tactile sensors play an increasingly crucial role in the monitoring of muscle behaviour during diverse activities. Regrettably, accessibility is restricted by the high cost of commercial Electromyography (EMG) systems. To address this limitation, an affordable fabric-based tactile sensor is introduced, ensuring precision and reliability while expanding potential applications. The development and evaluation of this innovative sensor are outlined in this paper, with a performance comparison to a prevalent sEMG sensor.</div><div>The conception, design, and development of our fabric-based tactile sensor are presented, and the evaluation phase involves dynamic exercises performed by volunteers, with EMG signals recorded from the Biceps muscle and Flexor Carpi Ulnaris muscle. Emphasis is placed on assessing the fabric-based tactile sensor's performance with the sEMG sensor.</div><div>Three performance indicators are employed to measure signal similarity. Consistently high performance is observed, with Spearman's correlation exceeding 0.642, an energy ratio of approximately 80 %, and Pearson correlation coefficients ranging from 45 % to 82 %. These findings signify a robust agreement between the fabric-based tactile sensor and the sEMG sensor, affirming the reliability and cost-effectiveness of our alternative.</div><div>While the advantages of the fabric-based tactile sensor are highlighted in our study, limitations of sensor placement, signal processing, and individual variations are acknowledged. Nevertheless, the research underscores the potential of this cost-effective sensor as a valuable tool in the analysis of muscle behaviour.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101016"},"PeriodicalIF":0.0,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On sizing of Battery Energy Storage Systems for independent multi-ancillary services in AC grids","authors":"João Marcus S. Callegari ,&nbsp;William C.S. Amorim ,&nbsp;Heverton A. Pereira ,&nbsp;Braz J. Cardoso Filho ,&nbsp;Danilo I. Brandao","doi":"10.1016/j.prime.2025.101000","DOIUrl":"10.1016/j.prime.2025.101000","url":null,"abstract":"<div><div>Battery Energy Storage Systems (BESS) arise as a crucial technology to transition from conventional/centralized to decentralized/electronized power systems. A multi-step BESS sizing procedure for independent multi-ancillary services is a highly demanded tool that supports prosumers’ and utilities’ decision-making to pursue attractive investments that meet the intended technical requirements. Thus, this paper proposes a novel multi-step methodology for BESS sizing, evaluating economic viability, utilizing real-world mission profiles, and estimating Li-ion battery bank degradation, based on three ancillary services: self-consumption (SC), energy time-shift (ETS), and islanded (IS) operation. The methodology is applied to four case studies in the SC and ETS modes, evaluating the effects of (<span><math><mi>i</mi></math></span>) photovoltaic (PV) power plant size, (<span><math><mrow><mi>i</mi><mi>i</mi></mrow></math></span>) fixed PV capacity, (<span><math><mrow><mi>i</mi><mi>i</mi><mi>i</mi></mrow></math></span>) battery size trade-offs, and (<span><math><mrow><mi>i</mi><mi>v</mi></mrow></math></span>) grid power charging. Results showed that the sized BESS performing ETS, charged by a 250 kW PV system, with a capital expenditure of $218,806, achieved a net present value of $417,739, an internal rate of return of 18.55%, and a discounted payback period of 9 years. The system maintains an average state of charge of 75%, with 6.4% of the time unable to provide ETS due to battery constraints. In islanded operation, the same system provided 10 h of autonomy during grid outages, which is sufficient to support the facility. It is also shown that sensitivity analysis in promising scenarios, such as energy tariff increases and BESS cost reductions, further enhances the technical and economic feasibility of the system.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101000"},"PeriodicalIF":0.0,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144125002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite time trajectory tracking of a switched non inverting buck–boost converter using pulse width modulation","authors":"Chandan Kumar,&nbsp;Anjan Kumar Ray","doi":"10.1016/j.prime.2025.101005","DOIUrl":"10.1016/j.prime.2025.101005","url":null,"abstract":"<div><div>Control and monitoring of DC–DC converters have become crucial issues as these devices grow more and more prevalent in power electronics applications, including renewable energy systems, DC microgrids, electric vehicle, and More Electric Aircraft (MEA). This paper proposes a novel approach that uses state space averaging method, backstepping control, and pulse width modulation to track the trajectory in finite time of a non-inverting buck–boost converter in both buck and boost modes. The main objective is to find the voltage across capacitor which facilitates tracking of an output reference voltage. For modeling the non-inverting buck–boost converter, the expression of the final state space equation is found using the state space averaging method, while the expression of the continuous finite time controller is found using the backstepping control technique. The tracking error is minimized in the simulation, ensuring stability of the closed loop system based on the Lyapunov stability theorem. The simulation results demonstrate the effectiveness of the proposed control technique. Comparative analysis using fuzzy, PID, PI, OCC (One Cycle Control), GPC (Generalized Predictive Control), energy based model, and MDPP (Minimum Degree Pole Placement) ensures the efficacy of proposed method.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 101005"},"PeriodicalIF":0.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}