Energy Reports最新文献_第6页

Design and implementation of parabolic trough solar concentrator distiller

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-01-06 DOI: 10.1016/j.egyr.2025.01.001

Fares Touaref , Aicha Saadi , Istvan Farkas , Istvan Seres

{"title":"Design and implementation of parabolic trough solar concentrator distiller","authors":"Fares Touaref , Aicha Saadi , Istvan Farkas , Istvan Seres","doi":"10.1016/j.egyr.2025.01.001","DOIUrl":"10.1016/j.egyr.2025.01.001","url":null,"abstract":"<div><div>This study addresses critical challenges in parabolic trough solar concentrators (PTSCs) for solar distillation, which is usually used in electrical production or cooking, focusing on optimizing performance, improving efficiency, and integrating innovative technologies for increase thermal efficiency. An advanced PTSC-based novelty hybrid desalination system combines both solar thermal energy and photovoltaic, suitable for use in isolated areas was developed, incorporating optical, thermal, and mechanical enhancements. Using SOLIDWORKS for 2D and 3D design and MATLAB for modelling the distribution and angles of solar radiation. The system has designed to track solar radiation effectively through a robust, automatic sun-tracking system. Experimental validation was conducted with three configurations: air, tap water, and saline water as heat transfer fluids. The experimental results demonstrated remarkable thermal performance, achieving a focal point temperature of 350 °C within 60–120 minutes. Tap water distillation yielded 150 liters over 10 hours with a pH of 6.77, while saline water exceeded 160 liters with a pH of 7.02, showing enhanced water purity. The system achieved an average thermal efficiency improvement of 70.3 %, attributed to the integration of tracking technology, minimized optical losses, and efficient heat transfer this is confirmed by statistical indicators such as MABE and RMSE values which is 0.34895 and 0.401 respectively. Besides that, thermal efficiency is excellent through to value of coefficient of determination (R<sup>2</sup>) about 0.99. The developed system offers portability, low-cost implementation depends on the cheap materials used, and adaptability to real-world climatic conditions, marking a significant advancement in solar thermal energy applications and sustainable desalination technologies.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1138-1157"},"PeriodicalIF":4.7,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing voltage control and regulation in smart micro-grids through deep learning - optimized EV reactive power management

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-01-04 DOI: 10.1016/j.egyr.2024.12.072

Karthikeyan M. , Manimegalai D. , Karthikeyan Rajagopal

{"title":"Enhancing voltage control and regulation in smart micro-grids through deep learning - optimized EV reactive power management","authors":"Karthikeyan M. , Manimegalai D. , Karthikeyan Rajagopal","doi":"10.1016/j.egyr.2024.12.072","DOIUrl":"10.1016/j.egyr.2024.12.072","url":null,"abstract":"<div><div>This paper presents an innovative application of deep learning optimization techniques, combined with the Artificial Bee Colony (ABC) algorithm, to enhance voltage control and regulation in smart micro-grids integrated with electric vehicles (EVs). The study addresses the challenges posed by fluctuating reactive power demands due to EV charging, proposing a novel method that utilizes a Deep Learning Neural Network (DLNN) to optimize Voltage Source Converter (VSC) controllers. This approach enables EVs to actively participate as reactive power compensators, ensuring voltage stability while achieving desired state-of-charge (SoC) levels for EV batteries. Simulation results on a 33-bus radial distribution network demonstrate that the proposed DLNN-ABC framework significantly improves voltage regulation compared to traditional methods, even under varying grid conditions. The method achieves enhanced performance in metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE), with RMSE reduced by 50 % compared to conventional fuzzy logic control. Further, the framework minimizes Total Harmonic Distortion (THD) in voltage and current, achieving reductions of 77.8 % and 66.7 %, respectively. These improvements translate to superior power quality, enhanced battery life, and increased efficiency in grid operations. The findings highlight the transformative potential of integrating advanced AI optimization techniques in micro-grid management, particularly with the rising adoption of EVs. By dynamically adjusting reactive power and improving voltage profiles, the proposed solution supports both stable grid operations and cost-effective EV charging. This research sets a foundation for future advancements in smart grid technologies, emphasizing the synergy between deep learning and optimization algorithms for sustainable energy systems.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1095-1107"},"PeriodicalIF":4.7,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Regional synergy between green technology innovation and low carbon development in China: A quantitative study of provinces and economic belts

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-01-04 DOI: 10.1016/j.egyr.2024.12.074

Luote Dai , Aimei Yang , Guiyu Song

{"title":"Regional synergy between green technology innovation and low carbon development in China: A quantitative study of provinces and economic belts","authors":"Luote Dai , Aimei Yang , Guiyu Song","doi":"10.1016/j.egyr.2024.12.074","DOIUrl":"10.1016/j.egyr.2024.12.074","url":null,"abstract":"<div><div>As the urgency for sustainable development increases in the context of climate change, understanding the relationship between green technology innovation (GTI) and carbon emissions reduction is crucial. This study investigates the synergistic effects of GTI and low-carbon development across 30 provinces in China from 2013 to 2023. Utilizing the entropy method, we analyze regional disparities in GTI and its impact on low-carbon outcomes. Our findings indicate that eastern coastal provinces, such as Jiangsu and Zhejiang, exhibit strong synergies between GTI and low-carbon development, while central and western provinces face significant challenges due to lower innovation capabilities. Additionally, GTI promotes carbon emissions reduction through enhanced technological innovation. The results suggest that implementing differentiated support policies for GTI can significantly reduce carbon emissions in high-polluting industries. Furthermore, our analysis shows that low-carbon city pilot programs make a substantial contribution to lowering the carbon emission growth rate of high-polluting enterprises. This research provides practical recommendations for policymakers to strengthen regional cooperation and enhance green technology initiatives, ultimately contributing to the transition of China and other regions or countries toward a sustainable and low-carbon economy.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1085-1094"},"PeriodicalIF":4.7,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of optimization methods for the control of generators of a low carbon heat grid

IF 4.7 3区工程技术

Energy Reports Pub Date : 2025-01-03 DOI: 10.1016/j.egyr.2024.12.040

Shixin Ni, Gerrid Brockmann, Amin Darbandi, Martin Kriegel

{"title":"Evaluation of optimization methods for the control of generators of a low carbon heat grid","authors":"Shixin Ni, Gerrid Brockmann, Amin Darbandi, Martin Kriegel","doi":"10.1016/j.egyr.2024.12.040","DOIUrl":"10.1016/j.egyr.2024.12.040","url":null,"abstract":"<div><div>This study demonstrates an approach for the operational optimization of a district heating network supply system, consisting of multiple generators, including wastewater, air-source and ground collector heat pumps, a wood boiler, a combined heat and power plant, a natural gas boiler, and a photovoltaic system. To address the non-linear characteristics of the system, the optimization problem is formulated as a Mixed-Integer Nonlinear Programming (MINLP) problem and solved using a Nonlinear Programming (NLP)-based Branch-and-Bound (BB) method. Three NLP methods — Constrained Optimization BY Linear Approximation (COBYLA), Sequential Least SQuares Programming (SLSQP), and Trust-region algorithm for constrained optimization (Trust-Constr) — are applied and evaluated to assess their suitability for the optimization task. System models were developed in the Dynamic Modeling Laboratory (Dymola) environment to simulate and evaluate the optimization processes.</div><div>The results show that all three optimization methods significantly reduce operational costs and carbondioxid (CO<sub>2</sub>) emissions compared to the reference algorithm. Among them, the COBYLA method exhibits the highest potential, achieving cost reductions of 9.06% and 7.39%, and CO<sub>2</sub> emission reductions of 2.49% and 5.65% for the two system scenarios (Red80 and WN40), respectively. Furthermore, the Pareto frontiers generated by the methods illustrate trade-offs between economic and environmental objectives, offering valuable insights for decision-making.</div><div>The proposed method lays the foundation for developing a flexible and adaptable MINLP optimization framework, which allows easy updates to system configurations and boundary conditions, making it suitable for various applications.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1069-1084"},"PeriodicalIF":4.7,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Monte Carlo simulation-based economic risk assessment in energy communities

IF 4.7 3区工程技术

Energy Reports Pub Date : 2024-12-31 DOI: 10.1016/j.egyr.2024.12.046

Klara Maggauer, Bernadette Fina

{"title":"Monte Carlo simulation-based economic risk assessment in energy communities","authors":"Klara Maggauer, Bernadette Fina","doi":"10.1016/j.egyr.2024.12.046","DOIUrl":"10.1016/j.egyr.2024.12.046","url":null,"abstract":"<div><div>Energy communities (ECs) offer significant potential for enhancing citizens’ energy self-sufficiency. However, for their broad diffusion, ensuring economic viability is vital. This necessitates prudent financial decisions, featuring comprehensive profitability assessments and uncertainty-awareness before investing. Our study introduces a method for EC financing decisions under uncertainties that may result in economic risks, which is an aspect that has not yet been explored in existing literature. Using a Monte Carlo simulation-based approach, we evaluate two financing options – direct investment and contracting – for establishing photovoltaics-based ECs at two social housing sites in Austria, where sound financial decisions are especially relevant. Our approach considers the joint impact of technological, environmental, and economic uncertainties on profitability. Findings reveal that contracting is more profitable and risk-averse than direct investment if the contractor’s profit margin remains below 5.3%. Furthermore, we highlight pitfalls of a naive, expectation value-based approach, demonstrating the risk of profit overestimation. This manifests in a likelihood of 68% that the naively calculated net present value (NPV) differs from the real NPV by up to 196%. Moreover, we show that while a basic sensitivity analysis can indicate the risk of financial loss, it cannot convey the likelihood of such loss, unlike our MCS-based approach. We thus illustrate the importance of considering uncertainties when deciding on EC financing because purely deterministic approaches likely result in disadvantageous financial decisions, potentially deterring from EC participation.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 987-1003"},"PeriodicalIF":4.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic operation strategy for emerging industry development and information transmission in financial markets: Evidence from intermittent china renewable energy resources

IF 4.7 3区工程技术

Energy Reports Pub Date : 2024-12-31 DOI: 10.1016/j.egyr.2024.12.058

Ye Wang, Xiaolei Zou

{"title":"Stochastic operation strategy for emerging industry development and information transmission in financial markets: Evidence from intermittent china renewable energy resources","authors":"Ye Wang, Xiaolei Zou","doi":"10.1016/j.egyr.2024.12.058","DOIUrl":"10.1016/j.egyr.2024.12.058","url":null,"abstract":"<div><div>The rapid growth of renewable energy sources introduces significant challenges for the economic and reliable operation of energy systems, necessitating advanced risk management strategies. Addressing the variability and uncertainty associated with renewables, this paper presents a stochastic dominance-constrained operation strategy tailored for Industrial Integrated Energy Systems (IIES). A novel risk factor-oriented benchmark selection method is proposed, which effectively manages risks by considering the complete profit distribution rather than focusing on specific risk metrics. Case studies using real-world data from U.S. electricity markets demonstrate that intermittent renewables can cause profit reductions exceeding 7 % in 50 % of scenarios. However, the proposed strategy mitigates such risks across all scenarios by leveraging both physical (e.g., energy storage) and financial (e.g., hedging) flexible resources. Furthermore, increasing financial trading resources by 33.33 % reduces fixed investment costs for energy storage by as much as 92.59 %, showcasing the cost-saving potential of the integrated approach. Compared to traditional stochastic methods, the proposed strategy improves economic performance and operational reliability under volatile market conditions and extreme weather scenarios. These findings underscore the robustness and adaptability of the proposed framework in managing multifaceted risks in IIES, paving the way for sustainable energy system operations.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1014-1028"},"PeriodicalIF":4.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deterministic grid frequency deviations and the provision of frequency containment reserve with battery storage systems

IF 4.7 3区工程技术

Energy Reports Pub Date : 2024-12-31 DOI: 10.1016/j.egyr.2024.12.057

Mauricio Celi Cortés , Lucas Koltermann , Thanh Daniel Dang , Jan Figgener , Sebastian Zurmühlen , Dirk Uwe Sauer

{"title":"Deterministic grid frequency deviations and the provision of frequency containment reserve with battery storage systems","authors":"Mauricio Celi Cortés , Lucas Koltermann , Thanh Daniel Dang , Jan Figgener , Sebastian Zurmühlen , Dirk Uwe Sauer","doi":"10.1016/j.egyr.2024.12.057","DOIUrl":"10.1016/j.egyr.2024.12.057","url":null,"abstract":"<div><div>The synchronous grid of Continental Europe presents deterministic frequency deviations (DFD) that pose a challenge for grid stability and the provision of frequency containment reserve (FCR). There is a knowledge gap concerning the latest development of their occurrence and magnitude as well as their implications for the operation of large-scale battery energy storage systems (BESS) in the German FCR market. We analyzed the historic development of the occurrence and magnitude of DFDs from 2014 to 2023 as well as their seasonal patterns and daily profiles. For this analysis, we employed methods of time series decomposition such as classical and multiple seasonal-trend decomposition. Furthermore, we leveraged insights from our analysis to propose a rule-based approach for the storage management of BESS based on DFD-informed operation. Our results show an increase in the occurrence of high-magnitude DFDs of 37% from 2014 to 2023, with a 10 mHz rise in DFD magnitude explained by the historic trend. We found that the median occurrence of high-magnitude DFDs varies by up to 100% within a year. Our findings highlight the potential of integrating frequency behavior into FCR provision with BESS, prompted by the recent increase in DFD occurrence and magnitude.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1029-1040"},"PeriodicalIF":4.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sealing integrity in faulted underground gas storage: A case study of the Nanpu-1 gas storage, Eastern China

IF 4.7 3区工程技术

Energy Reports Pub Date : 2024-12-31 DOI: 10.1016/j.egyr.2024.12.047

Guangliang Gao , Yang Zhang , Zhibin Yang , Bin Duan , Wei Liu , Xianguo Zhang , Xiaosong Qiu , Mancang Liu

{"title":"Sealing integrity in faulted underground gas storage: A case study of the Nanpu-1 gas storage, Eastern China","authors":"Guangliang Gao , Yang Zhang , Zhibin Yang , Bin Duan , Wei Liu , Xianguo Zhang , Xiaosong Qiu , Mancang Liu","doi":"10.1016/j.egyr.2024.12.047","DOIUrl":"10.1016/j.egyr.2024.12.047","url":null,"abstract":"<div><div>Underground gas storage (UGS) is one of efficient way for natural gas peak shaving regulation, with which sealing integrity during the gas injection and withdrawal is the key issue for the UGS operation. In this study, a one-way geomechanical modeling as well as rock mechanical test was performed in the Nanpu-1 depleted oil reservoir which located in the Eastern China Nanpu sag. The modeling is coupled with a dynamic model to investigate the geomechanical behavior of faulted reservoirs during gas injection and production as well as estimate the reservoir and caprock integrity and evaluate the risk of fault reactivation. The results show that horizontal stresses and formation pressure in the sandstone reservoirs are distinctly affected by the gas storage while change slightly in the caprocks. The caprocks have a good mechanical integrity before and during the UGS construction, with the shear safety factor ranging from 0.35 to 0.62. The slip index indicates that faults in the UGS is stable with the FSI value less than 1.0 even at the maximum pressure. Furthermore, the critical formation pressure for the fault activation is estimated as 34.5 MPa. The study implies that the Nanpu-1 UGS can be safely operated at least 20 years without any risk from the caprocks or the cross-cutting faults. The tight caprocks are insensitive to the pressure changes in contrast with the reservoirs due to the weak hydraulic communication. In addition, evaluation of fault reactivation should overall consider stress state along fault planes in the whole UGS.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1004-1013"},"PeriodicalIF":4.7,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Monte Carlo simulation and stochastic fractional search algorithm for solar PV placement considering diverse solar radiations

IF 4.7 3区工程技术

Energy Reports Pub Date : 2024-12-30 DOI: 10.1016/j.egyr.2024.12.070

Ibrahim Cagri Barutcu , Gulshan Sharma , Pitshou N. Bokoro , Emre Çelik

{"title":"Application of Monte Carlo simulation and stochastic fractional search algorithm for solar PV placement considering diverse solar radiations","authors":"Ibrahim Cagri Barutcu , Gulshan Sharma , Pitshou N. Bokoro , Emre Çelik","doi":"10.1016/j.egyr.2024.12.070","DOIUrl":"10.1016/j.egyr.2024.12.070","url":null,"abstract":"<div><div>This study employs Monte Carlo Simulation (MCS) within the structure of the Stochastic Fractional Search Algorithm (SFSA) to address circumstances involving uncertainty. The goal is to improve the system's performance by creating probability distribution functions for bus voltages and branch currents. We will use the resultant distribution in chance-constrained stochastic scheduling. The objective of the present research is to analyze the impact of uncertainties in the operation of photovoltaic (PV) systems, specifically in relation to different solar radiation conditions, on the amount of power loss. The approach focuses on including stochastic constraints in distribution systems instead of depending solely on precise deterministic boundaries. The goal is to enhance efficiency and ensure optimal consumption of power. This research enhances the knowledge base on PV unit positioning in distribution systems by integrating meta-heuristic optimization and MCS into a comprehensive framework. The investigation centers on the implementation of a chance-constrained method. We evaluate the optimization results using MCS under various uncertainty scenarios to demonstrate the effectiveness of the recommended approach. Furthermore, we conduct an analysis to assess the likelihood of exceeding the system's boundaries. The strategy's effectiveness is assessed by comparing the results of the SFSA with the Firefly algorithm (FA) utilizing probabilistic evaluation and simulation.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 885-902"},"PeriodicalIF":4.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and implementation of three-port non-isolated hybrid converter for integration of grid and battery

IF 4.7 3区工程技术

Energy Reports Pub Date : 2024-12-30 DOI: 10.1016/j.egyr.2024.12.060

Ramya V., Marimuthu R.

{"title":"Design and implementation of three-port non-isolated hybrid converter for integration of grid and battery","authors":"Ramya V., Marimuthu R.","doi":"10.1016/j.egyr.2024.12.060","DOIUrl":"10.1016/j.egyr.2024.12.060","url":null,"abstract":"<div><div>The paper proposes a three-port non-isolated hybrid converter that supplies the load with grid and battery power. In a non-isolated hybrid converter, two input ports are connected to an AC grid and a battery, and an output port is connected to a resistive load. A diode bridge converter receives a single-phase AC grid signal and generates pulsing DC. This design allows for the integration of a battery with the grid as per the requirements of the load and ensures a stable output voltage of 400 V. This voltage range plays a crucial role in hybrid energy applications, particularly in applications like the fast charging of batteries. The converter utilizes five switches to regulate the power flow between the two input ports. The proposed system in Simulink MATLAB utilizes dual loop proportional-integral (PI) controllers to efficiently charge the Battery in Constant Current (CC) charging and ensure power factor correction (PFC). Furthermore, a fuzzy logic controller determines different operating modes according to load demands. The OPAL-RT 5700 is designed to test and validate the performance of real-time hardware in-loop (HIL) systems. The system fulfils the load demand under various load scenarios, efficiently manages power and assesses total harmonic distortion (THD).</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 960-972"},"PeriodicalIF":4.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0