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

{"title":"Optimal restoration algorithm for active distribution network considering island mode of the microgrids","authors":"J. Marín Quintero ,&nbsp;J. Ayala Uribe ,&nbsp;O. Bernal ,&nbsp;C. Orozco Henao","doi":"10.1016/j.prime.2025.100976","DOIUrl":"10.1016/j.prime.2025.100976","url":null,"abstract":"<div><div>Faults in electrical networks can disrupt power supply to large populations, resulting in significant economic and social repercussions. With the growing integration of active agents such as Microgrids (MGs) and distributed generation (DG) into the electrical grid, it becomes crucial to develop methods that restore power to the maximum number of users in the shortest possible time, while considering the dynamic behavior of the network. This paper introduces a restoration strategy for Active Distribution Networks based on the Binary Grey Wolf Optimization (BGWO) algorithm. The approach accounts for the island operation mode of MGs and leverages the controllability of intelligent electronic devices (IEDs). The fitness function aims to minimize several indicators, including energy not served (ENS), load prioritization, and deviation of the voltage limits. The proposed strategy was validated using a modified IEEE 123-node test feeder with integrated Distributed Energy Resources (DERs), also,it was tested under three approaches: low and high automation penetration of controllable IEDs and special operating conditions such as load variation, topology change and cut off generation. The results demonstrate the effectiveness of the BGWO-based strategy in reducing fitness function in 40% when a high automation penetration is considered. The strategy shows its flexibility and potential for real life applications.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100976"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A reduced switch stress common-ground boosting multilevel inverter for renewable energy applications","authors":"Mohammad Zaid ,&nbsp;Mohammad Ali ,&nbsp;Adil Sarwar ,&nbsp;Muhammad Khalid ,&nbsp;Atif Iqbal","doi":"10.1016/j.prime.2025.100953","DOIUrl":"10.1016/j.prime.2025.100953","url":null,"abstract":"<div><div>Renewable energy sources like solar photovoltaic (solar-PV), and the battery storage system require DC-AC converters (inverters) to deliver power to the grid or standalone loads. The operation requires obtaining a sinusoidal voltage waveform at the output, and multilevel inverters (MLIs) produce better-quality waveforms than conventional two-level inverters. Switched-capacitor MLIs (SCMLI)are one typr of inverters that utilize the DC-capacitors as sources and get charged through the DC source. Additionally, they have recently shown their efficacy through reduced components and generating boosted output voltage. However, most topologies lack common-ground structures and are liable to be subjected to high-frequency leakage currents when connected to the solar-PV through parasitic capacitance. On the other hand, the recent common-ground quadruple-boost SCMLI topologies exhibit high switch-blocking voltage (6 or 8 times <span><math><msub><mrow><mi>V</mi></mrow><mrow><mi>d</mi><mi>c</mi></mrow></msub></math></span>). To address these issues, this paper proposes a new nine-level quadruple-boost common-ground inverter (9LQBCGI) suitable for microinverter applications, whose maximum switch stress is equal to the output voltage (4<span><math><msub><mrow><mi>V</mi></mrow><mrow><mi>d</mi><mi>c</mi></mrow></msub></math></span>), and uses twelve switches, three self-balanced capacitors, and one diode. Further, a simple single resistance-relay-based soft-starting is performed, which results in a low starting inrush current. The proposed SCMLI is structurally and economically compared with recent nine-level, four-times boosting topologies. Reliability analysis has also been performed using Markov model. The operational verification is performed in simulation on MATLAB/Simulink and PLECS, and on a hardware prototype in the laboratory environment.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100953"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coordinated TSO-DSO operational planning for congestion management in day-ahead and real-time markets","authors":"Ali Esmaeel Nezhad,&nbsp;Toktam Tavakkoli Sabour,&nbsp;Ravindra P. Joshi","doi":"10.1016/j.prime.2025.100981","DOIUrl":"10.1016/j.prime.2025.100981","url":null,"abstract":"<div><div>This paper presents a coordinated operational planning approach for handling congestion management in transmission and distribution networks. The developed model is based on a two-stage operational planning process consisting of day-ahead (DA) and real-time (RT) markets. In this regard, both the transmission system operator (TSO) and distribution system operator (DSO) effectively participate in handling the network operation bottlenecks. The performance of the model to address congestion management in centralized and decentralized energy balance markets has been demonstrated to highlight the importance of the coordinated model. The simulation results underscore the functionality and performance of the coordinated TSO-DSO model in alleviating the congestion in real-time markets by implementing upward and downward flexibility as an alternative ancillary service that can be provided by both dispatchable generators and responsive loads at each sector.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100981"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A survey on benchmarking and performance evaluation of SOGI based three-phase advanced PLLs with DC offset rejection capability","authors":"Poonam Tripathy ,&nbsp;Banishree Misra ,&nbsp;Byamakesh Nayak ,&nbsp;Payal Tripathy","doi":"10.1016/j.prime.2025.100980","DOIUrl":"10.1016/j.prime.2025.100980","url":null,"abstract":"<div><div>The Renewable Energy Sources (RESs) are integrated into the grid through power electronic converters in order to meet the increasing demand for electricity. To enable the best possible energy transfer between RESs and the grid, the grid interfacing converter's control mechanism ensures that the voltage and currents injected by RESs are in phase with the grid. Phase Locked Loops (PLLs), are widely employed in the estimation of synchronous data, such as phase angle and grid voltage amplitude. However, because of the presence of grid harmonics and Direct Current (DC) offset in the grid voltage that cause fundamental frequency oscillations, phase-locked deviation may arise from incorrectly extracting the fundamental voltage component. Other advanced PLLs are sought after due to the inefficiency of the frequently utilized Dual Second Order Generalized Integrator PLL (DSOGI PLL) and Synchronous Reference Frame PLL (SRF PLL) during the DC offsets for grid synchronization. The grid tied RESs synchronization in the DC offset case is still unachievable despite the Second Order Generalized Integrator (SOGI) filter based DSOGI PLL's excellent harmonic rejection capacity. This article provides an in-depth analysis of some advanced SOGI filter based PLL approaches to mitigate the DC offset problem in PLL algorithms. These techniques entail utilizing the advanced structures of the SOGI based filter to block the DC offset prior to the PLL input. These approaches' design features, stability analysis using Bode plots and a comprehensive performance study using MATLAB/Simulink is conducted highlighting their pros and cons to provide an accurate benchmark for the SOGI based PLLs.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100980"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a robust data privacy framework for IoT based health monitoring system","authors":"Punam Prabha,&nbsp;Kakali Chatterjee","doi":"10.1016/j.prime.2025.100961","DOIUrl":"10.1016/j.prime.2025.100961","url":null,"abstract":"<div><div>Nowadays, the need for a robust data privacy framework in health monitoring system is driven because the health sector is a prime target for cyber-attacks due to the high value of sensitive data on the cloud server storage. This paper presents a robust data privacy framework designed for health monitoring systems, addressing the critical need for secure handling of sensitive patient information. The proposed framework integrates hybrid consensus mechanism, ring signature mechanism, and data authentication mechanism to ensure sustainable and secure blockchain infrastructure, robust framework, and accuracy and consistency of data. Moreover, Security-Performance Efficiency Metric show that the proposed robust data privacy framework is effective and efficient in compare to existing framework for improving transaction processing and blockchain administration.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100961"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart multioutput fast charger for electric vehicles using deep learning controllers","authors":"Aayushi Priyadarshini,&nbsp;Shekhar Yadav,&nbsp;Nitesh Tiwari","doi":"10.1016/j.prime.2025.100975","DOIUrl":"10.1016/j.prime.2025.100975","url":null,"abstract":"<div><div>The increasing adoption of electric vehicles has intensified the demand for efficient, high-performance charging solutions to address long charging times and range limitations. This paper presents the development of a smart multioutput Direct-current fast charger leveraging deep learning techniques to enhance electric vehicle battery charging capabilities. The proposed Direct-current fast charger integrates a front-end converter to transform grid AC voltage and current into DC, managed by three deep learning controllers. The charger incorporates a high-frequency inverter, a high-frequency isolation transformer, and a diode bridge rectifier for AC-DC conversion. The inverter gate drive system is optimized by using a deep learning controller to regulate output performance. Two types of deep learning controllers such as custom neural network and neural net fitting are implemented to minimize settling time, overshoot, and harmonics, ensuring ripple-free, smooth DC bus voltage, current, and battery charging current. Comparative analysis reveals that the custom neural network-based Direct-current fast charger is superior to the neural net fitting in terms of settling time, overshoot, complexity, accuracy, and efficiency. MATLAB &amp; Simulink simulations validate the effectiveness of the proposed system, demonstrating its potential for improving electric vehicle charging performance.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100975"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gain-analytical equations generalized for FOPID controllers — An application with DC–DC power converters","authors":"Luís Felipe da S.C. Pereira ,&nbsp;Anderson S. Volpato ,&nbsp;Edson Antonio Batista ,&nbsp;Moacyr A.G. de Brito ,&nbsp;Ruben B. Godoy ,&nbsp;João O.P. Pinto ,&nbsp;Leon M. Tolbert","doi":"10.1016/j.prime.2025.100967","DOIUrl":"10.1016/j.prime.2025.100967","url":null,"abstract":"<div><div>This study presents algebraic formulations for determining the gains of a fractional-order PID (FOPID) regulator, with attention to gain crossover frequency, phase margin, and robustness against gain variations (iso-damping). The differential evolution (DE) algorithm is employed for optimal tuning of fractional-order values, aligned with FOPID gain parameters. FPGA-in-the-loop simulations for Buck and DC–DC Boost converters are conducted to validate the DE-tuned FOPID controllers, optimized using the <span><math><msup><mrow><mi>L</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> norm and compared to MATLAB-Simulink simulations. The approach introduces a key innovation: disaggregating the FOPID equation for memory efficiency. Simulations and experiments demonstrate the controller’s precision in setpoint tracking and resilience to load and input voltage variations in Buck and DC–DC Boost converters, with effective damping of load disturbances. A test bench validated the proposed method, which was also compared to conventional PID, Type 3, and PIDD2-IMC controllers. While the proposed FOPID controller performed better in the presented results, a conclusive comparison could not be drawn due to unequal tuning efforts. Future work will focus on a more thorough comparison of controllers.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100967"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A stacked generalization approach for day ahead hourly photovoltaic power forecasting","authors":"Fatema Islam Tania ,&nbsp;Pinki Rani ,&nbsp;Tofael Ahmed ,&nbsp;Shameem Ahmad","doi":"10.1016/j.prime.2025.100977","DOIUrl":"10.1016/j.prime.2025.100977","url":null,"abstract":"<div><div>Short-term PV power generation forecasting relies on some key meteorological feature behaviors. This study aims to design a robust model for day-ahead PV power generation forecasting that performs well under various sub-conditions. It proposes a stacked generalization approach with optimized ANN and XGBoost models as base learners. The outputs of these models are used as new features in validation data that function as training data for the ETR meta-model. The diversity of the base models provides complementary advantages for the meta-learner. The model is verified on real-time data from DKASC (Desert Knowledge Australia Solar Centre), a solar center in Alice Springs, Australia. A comparative analysis is conducted with various machine learning models including Random Forest, ANN, and XGBoost, both individually and in altered stacked configurations. The result shows that the proposed stacked generalization model has higher accuracy than the other models examined. Finally, the model is evaluated on different PV technologies to assess the model's compatibility with different solar technologies. The results indicate that the proposed model provides precise and consistent performance over various conditions.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100977"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143706320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perspective on compressed CO2 regenerative braking systems for passenger cars","authors":"Alberto Boretti","doi":"10.1016/j.prime.2025.100970","DOIUrl":"10.1016/j.prime.2025.100970","url":null,"abstract":"<div><div>The growing demand for energy-efficient and sustainable transportation has led to significant advancements in regenerative braking systems (RBS), which recover and reuse kinetic energy lost during braking. While battery-based RBS dominate the market, alternative technologies such as pneumatic regenerative braking systems (PRBS) offer simpler, cost-effective, and more durable solutions, particularly for heavy-duty and commercial vehicles. This study investigates the feasibility of using compressed carbon dioxide (CO₂RBS) as a working fluid in PRBS, specifically in hybrid vehicles powered by hydrogen internal combustion engines. A comparative analysis is conducted between CO₂RBS and battery RBS, evaluating their efficiency, energy density, lifecycle sustainability, and real-world applicability. The study also revisits Peugeot Citroën's Hybrid Air Technology to assess its potential role in advancing CO₂-based RBS solutions. Simulation-based efficiency comparisons across various driving cycles (WLTP, NEDC, and a custom urban cycle) reveal that CO₂RBS achieves round-trip efficiencies ranging from 45 % to 60 %, compared to 70 % to 85 % for typical battery RBS. Despite this lower efficiency, CO₂RBS offers significant advantages: projected system costs are 30 % to 50 % lower, recyclability is estimated at over 95 % of system components (compared to estimated 50 % for typical battery with current technologies), and preliminary lifecycle emission analysis suggests a potential reduction of 15 % to 25 % compared to lithium-ion battery-based systems, depending on the electricity generation mix. The findings indicate that CO₂RBS could be a viable alternative for cost-sensitive and environmentally conscious applications, particularly in sectors prioritizing robust, maintenance-friendly, and recyclable energy storage solutions. By addressing the material sustainability challenges associated with lithium-ion batteries, this research highlights CO₂RBS as a promising pathway toward more sustainable regenerative braking solutions for future transportation systems.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100970"},"PeriodicalIF":0.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Airflow Rate Control of Oscillating Water Column for Maximising Wave Energy Capture","authors":"Ali Salam Al-Khayyat ,&nbsp;Ahmed A. Ouda ,&nbsp;Mustafa Jameel Hameed","doi":"10.1016/j.prime.2025.100963","DOIUrl":"10.1016/j.prime.2025.100963","url":null,"abstract":"<div><div>The stalling effect in Oscillating Water Column OWC well turbine<span><math><mo>−</mo></math></span>based limits the power generated. This issue is solved by controlling the airflow rate, where the peak waves is predicted and accordingly the airflow speed is reduced. This paper introduces a control approach for maximising the power captured by an OWC equipped with well turbine and Doubly Fed Induction Generator DFIG. The function of control scheme is to regulate the rotational speed and this is achieved by controlling the airflow rate in the chamber of OWC. The airflow speed is estimated using information of wave parameters and employed for controlling the airflow coefficient. A sensor is used to measure the pressure in the OWC chamber to avoid damage that could occur during strong turbulent ocean. The dynamic of OWC is nonlinear in nature and it is intricate, thus its plant is simplified and linearised so as to apply the control scheme. Since the input to the system is rotational speed of well turbine along with the airflow speed and the output is DFIG rotor speed and the electromagnetic torque. The torque is directly linked to the rotor flux, the plant is derived according to that relation. PID controller is used for controlling the airflow rate and pole placement is used to determine the gains of this controller. In addition, Particle Swarm Optimisation PSO and Bat Algorithm Optimisation BAO are also used to obtain the exact gain values and the performance is compared. The airflow rate controller set the reference of rotor speed which would be used to control the rotor speed of DFIG. The torque of the generator is controlled as well along with rotor flux by implementing Direct Torque Control DTC. The system has simulated under various pressure conditions and the results show well dynamic response in terms of controlling the airflow rate, DFIG rotor speed, torque and power. In addition, the turbine provides torque without stalling as the air valve is activated during sever pressure and restore its state when the pressure in OWC chamber is decreased to a specific value, thus continuous operation is ensured alongside with maximising the captured power.</div></div>","PeriodicalId":100488,"journal":{"name":"e-Prime - Advances in Electrical Engineering, Electronics and Energy","volume":"12 ","pages":"Article 100963"},"PeriodicalIF":0.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}