Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)最新文献

{"title":"Electric Vehicle Battery State of Charge and Charging Station Distance\u0000Estimation Using IoT","authors":"Ragavendran C.R, Kaliappan E, Prabaakaran Kandasamy","doi":"10.2174/0123520965283183240105063715","DOIUrl":"https://doi.org/10.2174/0123520965283183240105063715","url":null,"abstract":"\u0000\u0000The global transition to green energy and the rapid development of Electric\u0000Vehicle (EV) technology, along with falling component costs, have fueled the growing popularity\u0000of electric vehicles. To support the widespread adoption of EVs, an efficient and userfriendly\u0000charging infrastructure is crucial.\u0000\u0000\u0000\u0000This work aims to propose a comprehensive EV charging system that addresses the\u0000rising demand for charging stations, streamlines the charging process, and empowers EV drivers\u0000with essential information. The primary focus is on an economical and effective booking system,\u0000enabling users to locate nearby charging stations and make informed choices about their charging\u0000preferences.\u0000\u0000\u0000\u0000We suggest developing a EVs Charging Finder App, serving as a central platform for EV\u0000users to find nearby charging stations. The app will provide vital details, including ratings, reviews,\u0000available time slots, charging duration estimates, and more. Users can also contribute new\u0000charging station data, fostering app growth. Additionally, an alert system will notify users when\u0000nearby charging slots become available, enhancing convenience for EV drivers.\u0000\u0000\u0000\u0000The EVs Charging Finder App is anticipated to significantly enhance the accessibility\u0000and convenience of EV charging. Users can effortlessly locate charging stations, assess quality\u0000through reviews and ratings, and plan charging sessions based on real-time availability. The battery\u0000voltage of 45.2 V is a critical parameter for monitoring the health and performance of the battery,\u0000influencing the accuracy of state of charge (SoC) estimations and potentially impacting the\u0000efficiency of the electric vehicle. The 47.7 km driven is a key factor in assessing energy consumption\u0000and vehicle efficiency, which can affect the remaining state of charge in the battery. The battery's\u0000state of charge (SOC) is at 85%, indicating a relatively high charge level. Knowing that the\u0000charging station is available is crucial for planning charging activities, allowing users to proceed\u0000without concerns about station availability. The booking time at 10:00 AM is essential for efficiently\u0000managing charging infrastructure, especially in scenarios with high demand for charging\u0000services. These data points collectively contribute to optimizing the charging experience and ensuring\u0000the effective utilization of electric vehicle resources.\u0000\u0000\u0000\u0000The proposed EVs Charging Finder App offers a practical and efficient solution to\u0000address the surging demand for charging stations. By providing comprehensive information and\u0000real-time alerts, this system aims to make EV charging more accessible, user-friendly, and environmentally\u0000sustainable.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"678 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140482747","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":"Fractional Trigonometric Function Approximations in a Regular System","authors":"D. Boucherma","doi":"10.2174/0123520965279598240124102952","DOIUrl":"https://doi.org/10.2174/0123520965279598240124102952","url":null,"abstract":"\u0000\u0000Linear fractional differential equations of the commensurable order, specifically\u0000those related to fractional trigonometry, pose challenges in terms of analytical solutions.\u0000\u0000\u0000\u0000This study presents an approach to the solution of fractional differential equations with commensurate order, specifically those associated with fractional trigonometry.\u0000\u0000\u0000\u0000The purpose of this article is to present a novel approximate analytical technique to\u0000solve linear fractional differential equations of the commensurable order, which are related to\u0000fractional trigonometry. This method is used to obtain approximate solutions by forming linear\u0000combinations of appropriate fractional basic functions, for which Laplace transforms are irrational\u0000functions. This approximation technique enables us to represent these functions using timeinvariant\u0000linear system models. Also, the implementation of analog circuits of these basic fractional\u0000order systems can be obtained using approximation of rational functions.\u0000\u0000\u0000\u0000The research demonstrates the efficacy and precision of this method through illustrative\u0000examples, showcasing its effectiveness in solving linear fractional systems.\u0000\u0000\u0000\u0000The newly introduced approximate analytical method presents a promising approach\u0000to solving linear fractional differential equations of the commensurable order, providing accurate\u0000solutions and possibly offering applications in various fields.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"320 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140484465","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 Systematic Review on the Application of Power Eelectronics in Renewable Energy Systems using SWOT Analysis","authors":"Naiyer Mumtaz, Md Irfan Ahmed, Harsha Pandey","doi":"10.2174/0123520965263239231129063552","DOIUrl":"https://doi.org/10.2174/0123520965263239231129063552","url":null,"abstract":"\u0000\u0000The frequency of energy crises due to shortage of fuel or rise in fuel prices\u0000has increased in the past decade. This may be due to increasing energy demand, the financially\u0000crippled state of the distribution companies, high prices of fuel, shortage of fuel, tension between\u0000the countries, etc. Apart from this, climate change, global warming, and rising environmental concerns\u0000have necessitated the need to search for more sustainable alternative sources of electricity. It\u0000has created a lot of interest in Renewable Energy Sources (RES), which includes solar, wind and\u0000hydropower. Even governments all around the world are introducing policies to support the adoption\u0000of RES for the generation of electricity and have set the target to achieve the Net-Zero emission\u0000level by decarbonizing the power sector.\u0000\u0000\u0000\u0000This paper provides an overview of all the prominent renewable energy technologies,\u0000namely solar power plants, wind energy plants, biomass and hydropower, using a systematic review\u0000procedure. In addition to this, the importance of Power Electronic Technologies (PET) in the\u0000integration of RES in today’s power system has also been presented. Further, a SWOT analysis\u0000framework has also been utilized to evaluate the strengths, weaknesses, opportunities and threats\u0000associated with the application of PET in renewable energy systems.\u0000\u0000\u0000\u0000The results from the analysis showcases that the implement of PET offers significant\u0000strength for the implementation of RES in the power system by providing increased system efficiency,\u0000and improved power quality. However, the technologies also face some of the weakness of\u0000limited scalability, regulatory concerns, high initial cost etc. Further, the different opportunities\u0000for a widespread adoption of PET have been discussed in this paper. Finally, all the threats concerning\u0000the implementation of the PET in the RES in the modern power system have also been\u0000highlighted.\u0000\u0000\u0000\u0000The purpose of this research work is to classify recent research techniques on renewable\u0000energy sources that were published between the years of 2010 to 2022 through a systematic\u0000and statistical review framework to showcase the need for power electronic technologies for the\u0000implementation of RES.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"105 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140487584","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":"Optimal Allocation of Fault Current Limiters in Power Systems: A\u0000Comprehensive Review","authors":"Yasser Khalil, Said Elmasry, Adel A. El Samhay, I. M. Shindy","doi":"10.2174/0123520965287398231230081056","DOIUrl":"https://doi.org/10.2174/0123520965287398231230081056","url":null,"abstract":"\u0000\u0000This paper delves into the potential of Fault Current Limiters (FCLs) as\u0000a transformative technology within power systems. FCLs assume a pivotal role in streamlining\u0000network expansion efforts, sustaining fault current levels, and augmenting the overall performance of power systems. The classification of FCLs is outlined, encompassing superconducting\u0000FCLs (SFCLs), Solid-State FCLs (SFCLs), and non-superconducting FCLs (Non-SFCLs).\u0000\u0000\u0000\u0000The core of this study lies in an exhaustive review of relevant literature, with a keen\u0000focus on optimal allocation strategies for FCLs. The primary objective of this paper is to function\u0000as an all-encompassing reference for both researchers and engineers, providing optimal FCL allocation studies.\u0000\u0000\u0000\u0000this paper discusses various techniques for the optimal allocation of FCLs within power\u0000systems. These allocation methods are categorized based on multiobjective functions such as\u0000cost, fault current reduction, stability, protection coordination, reliability, and power quality.\u0000\u0000\u0000\u0000This search presents an overview of the FCL survey structured around key components,\u0000including objective functions, design variables, constraints, optimization methods, network types,\u0000FCL types, and research contributions.\u0000\u0000\u0000\u0000This work aims to empower professionals in the field with a robust understanding of\u0000FCL allocation, ultimately contributing to the efficient and sustainable evolution of power systems. FCLs represent a promising technology for enhancing the performance and reliability of\u0000power systems, and this paper serves as a comprehensive resource for those interested in optimizing their allocation within these systems.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"26 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140494351","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":"An Approach of Privacy Preservation and Data Security in Cloud Computing for Secured Data Sharing","authors":"Revati Raman Dewangan, Sunita Soni, Ashish Mishal","doi":"10.2174/0123520965280683240112085521","DOIUrl":"https://doi.org/10.2174/0123520965280683240112085521","url":null,"abstract":"\u0000\u0000Cloud computing has revolutionized how individuals and businesses engage\u0000with data and software, turning the internet into a powerful computing platform by centralizing\u0000resources. Despite its benefits, there's a challenge in safeguarding sensitive information stored\u0000externally. Cryptography faces threats, particularly chosen-ciphertext attacks aiming for secret\u0000keys or system information. While more common in public-key encryption, these attacks are less\u0000frequent in symmetrically coded systems. Security efforts include validating system resilience and\u0000continuous improvement, which are vital in countering evolving threats like adaptive chosen ciphertext\u0000attacks.\u0000\u0000\u0000\u0000In the evaluation model, stringent measures emphasize robust encryption for system security.\u0000Despite the planning, no ciphertext attack guarantees success, necessitating adaptive security\u0000protocols. Adaptive attacks like CCA2 expose vulnerabilities, enabling attackers to manipulate\u0000ciphertexts persistently.\u0000\u0000\u0000\u0000We observe an average gain of 65% for the decryption algorithm. Efforts focus on\u0000strengthening security. The flawed 32-bit key-based encryption in the modified Cramer-Shoup\u0000structure undergoes remediation.\u0000\u0000\u0000\u0000Conventional uncertainties validate resilience, emphasizing continuous evaluation\u0000and enhancement to counter evolving threats.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140493324","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":"Multi-objective based Hybrid Artificial Intelligence Controlled Parallel Inverter in Islanded and Grid Connected Operations","authors":"Sravanthy Gaddameedhi, P. Srinivas, E. Vidya Sagar","doi":"10.2174/0123520965269898231205045322","DOIUrl":"https://doi.org/10.2174/0123520965269898231205045322","url":null,"abstract":"\u0000\u0000The Integration of non-conventional energy systems (NCES), like solar,\u0000wind, etc., into the grid with power electronic devices is adapted to meet the demand. Parallel\u0000connection of inverters (PCI) is an efficient method to boost power handling capacity, reliability,\u0000and system efficiency. However, the main drawback is the unequal power sharing among the inverters\u0000while using the conventional droop control technique (CDC). In addition, the circulating\u0000currents (CC) flow between these PCI, leading to common mode voltage (CMV), current waveform\u0000distortion, and reduction in the system's overall performance.\u0000\u0000\u0000\u0000This work consists of a photovoltaic system (PVS) and battery energy storage system\u0000(BES) as the distributed generation (DG) unit to voltage source inverter (VSI) 1 and 2. The multi-\u0000objectives of the suggested work are (a) the equal power/load sharing among two inverters, (b)\u0000effective minimization of CC and the CMV, (c) maintaining constant DC-link (DCL) voltage\u0000during different solar irradiation and constant temperature, and (d) the reduction in total harmonic\u0000distortion (THD) of load current.\u0000\u0000\u0000\u0000A novel approach related to the enhanced droop control (EDC) method with an adaptive\u0000neuro-fuzzy hybrid controller (ANFHC) was suggested here to overcome the above issues.\u0000The performance analysis of the suggested technique was done in the Matlab/ Simulink platform\u0000with islanded and grid-connected modes for different loads.\u0000\u0000\u0000\u0000A comparative analysis with the available methods like the proportional integral controller\u0000(PIC) and sliding mode controller (SMC) was carried out to exhibit the viability of the developed\u0000control technique.\u0000\u0000\u0000\u0000This study focused on the operation and control of a PCI with ANFHC in islanded\u0000and grid-connected modes to address issues such as uniform power sharing and reduction of CC\u0000and CMV.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"11 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139596399","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":"Current Research and Future Directions in Image Restoration Technology: An Emerging Field","authors":"Neelam Kumari, I. Kansal, Preeti Sharma","doi":"10.2174/0123520965275894231130114411","DOIUrl":"https://doi.org/10.2174/0123520965275894231130114411","url":null,"abstract":"\u0000\u0000A review and analysis of digital image restoration are provided in this work. The goal\u0000of image restoration is to enhance the quality of an image by understanding the physical process\u0000that created it. The purpose of picture restoration is to cover up or correct flaws that lower an image's quality. Motion blur, noise, and difficulty focusing the camera are just a few examples of\u0000how degradation can manifest itself. When there is motion blur, for example, it is possible to \"undo\" the blurring function and return the image to its previous state. The best course of action when\u0000noise distorts an image is to fix the damage it causes. In contrast to image enhancement, which\u0000focuses more on highlighting or extracting picture features than on restoring degradations, image\u0000restoration restores degraded images. While the mathematical representation of enhancement criteria is challenging, image restoration difficulties may be properly quantified. Restoration of images began in the 1950s. Application areas for image restoration include consumer photography,\u0000legal investigations, filmmaking and rivalries, image and video decoding, and scientific research.\u0000Image reconstruction in radio astronomy, radar imaging, and tomography is the principal area of\u0000use. This study proposal explores various image restoration methods and discusses the value of\u0000image restoration techniques.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"3 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139597355","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":"Optimized Maximum Power Point Tracking using Giza Pyramid\u0000Construction Algorithm for Photovoltaic Systems","authors":"Keerthi Sonam, Balamurugan R, Karuppiah Natarajan","doi":"10.2174/0123520965271915231204114710","DOIUrl":"https://doi.org/10.2174/0123520965271915231204114710","url":null,"abstract":"\u0000\u0000One of the key challenges in maximizing the performance of PV systems\u0000is the efficient tracking of the maximum power point (MPP) under varying operational conditions,\u0000including changes in solar irradiance and temperature. Accurate MPP tracking is essential for\u0000achieving optimal energy conversion efficiency and maximizing the electricity generation potential\u0000of the PV array, even during partial shading conditions. Traditional maximum power point\u0000tracking (MPPT) algorithms, such as the incremental conductance (INC) method, often struggle to\u0000efficiently handle partial shading conditions. As a result, there is a need for more sophisticated\u0000and robust optimization techniques that can effectively address this challenge. This study presents\u0000a novel and innovative Giza Pyramid Construction (GPC) algorithm to solve the partial shadinginduced\u0000MPP tracking problem.\u0000\u0000\u0000\u0000This study aims to apply the Giza Pyramid Construction (GPC) algorithm for optimized\u0000maximum power point tracking in photovoltaic systems under partial shading conditions,\u0000aiming to enhance energy conversion efficiency and overall system performance.\u0000\u0000\u0000\u0000The methodology involves implementing the Giza Pyramid Construction (GPC) algorithm\u0000as the core optimization technique for maximum power point tracking (MPPT) in photovoltaic\u0000(PV) systems. The GPC algorithms are utilized to iteratively adjust the duty cycle of the boost converter,\u0000enabling efficient power extraction from the PV array under varying shading conditions. The\u0000performance of the GPC algorithm is evaluated through simulations in MATLAB/SIMULINK and\u0000compared against conventional MPPT methods like INC and DGO techniques.\u0000\u0000\u0000\u0000The successful application of the Giza Pyramid Construction (GPC) algorithm for optimized\u0000maximum power point tracking in PV systems under partial shading led to significantly\u0000reduced optimization time, faster settling times, and minimized output ripples. With the proposed\u0000GPC MPPT, optimization time is reduced to 41ms, settling time is reduced to 93ms, and ripples\u0000are minimized to 0.092%.\u0000\u0000\u0000\u0000the Giza Pyramid Construction (GPC) algorithm demonstrates its effectiveness as a\u0000robust and efficient maximum power point tracking method in photovoltaic systems, particularly\u0000under partial shading conditions. The improved optimization speed, reduced settling times, and\u0000minimized output ripples underscore the GPC algorithm's potential to enhance the overall efficiency\u0000and reliability of PV systems, paving the way for its practical implementation in real-world\u0000renewable energy applications.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"55 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139601539","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 the Improvements of the Performance of Bayes-Net Classification for\u0000Diagnosis of Diabetes: A Cross-validation Approach","authors":"Sarvachan Verma, Anupama Sharma, Sachin Jain, Anuj Kumar","doi":"10.2174/0123520965268488231129104039","DOIUrl":"https://doi.org/10.2174/0123520965268488231129104039","url":null,"abstract":"\u0000\u0000This study intends to support medical professionals in the early and precise detection and diagnosis of type1 and type2 Diabetes. Many complexities occur if Diabetes is\u0000unidentified and remains untreated. 9.3% of individuals worldwide have Diabetes as of 2019, according to data from the World Health Organization. The anticipated increase would be close to\u000011% of the global population by 2045.\u0000\u0000Diabetes mellitus is a chronic, one of the deadliest diseases that causes Body blood glucose levels\u0000to be above average level knowing a blood sugar. Diabetes can be type1 (T1D) and type2(T2D).\u0000An autoimmune condition called Type 1 diabetes is frequently found in young children. Adults\u0000are frequently diagnosed with type 2 diabetes, which is not autoimmune. A branch of artificial\u0000intelligence called machine learning has the potential to be successful in the field of predictions.\u0000\u0000\u0000\u0000This research aims to design a machine learning model to predict Diabetes in a patient.\u0000The collective performance of the four algorithms is evaluated on various measures like accuracy, precision, sensitivity, and specificity. T\u0000\u0000\u0000\u0000For experiments, a standard PIMA Indian diabetes dataset is used. According to the results, Bayes-Net performs better than other algorithms, with an accuracy rate of 87.72%.\u0000\u0000\u0000\u0000Diabetes Mellitus may harm kidneys, nerves, eyes, and other organs if it is not diagnosed in time. Therefore, early diagnosis and treatment could save countless lives. The process\u0000is tedious because patients visit a diagnostic facility and see a doctor, but various machine learning and deep learning approaches solve this clinical problem earlier.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"31 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139600064","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":"ANN-Fuzzy Hybrid Control Strategy for MPPT of Grid-connected PV System with Battery Storage under Fast-charging Atmospheric Condition","authors":"Hajar Ahessab, Youness Hakam, Ahmed Gaga, Benachir El haddadi","doi":"10.2174/0123520965262688231128053950","DOIUrl":"https://doi.org/10.2174/0123520965262688231128053950","url":null,"abstract":"\u0000\u0000The use of solar energy through photovoltaic arrays is continually expanding and\u0000has recently been regarded as one of the cleanest sources of energy. Increasing the amount of\u0000electricity provided to the load is one method for lowering the cost of solar systems. Contrarily,\u0000altering the load creates a divergence from the maximum power point (MPP) and changes the\u0000operating point of the solar conversion system. Due to this, attention has been given to MPPT\u0000techniques that can be used with solar systems in numerous research investigations. In this paper,\u0000we implement an MPPT method based on an Artificial Neural Network (ANN). This\u0000method combined two controllers, ANN and fuzzy logic controller, under the name ANNFuzzy\u0000logic hybrid. In the first stage, ANN can determine Vmpp from irradiation and temperature,\u0000and both of them are variable. In the second stage, this Vmpp has been corrected by implementing\u0000Fuzzy logic in order to minimize the error of the voltage and VMPP. ANN-fuzzy\u0000hybrid has been simulated in Matlab-Simulink and was found to be the best solution to follow\u0000the maximum power point when irradiation and temperature are varied. The energy extracted\u0000from PV is delivered to a battery in order to inject this power into the smart grid by using an\u0000inverter controlled by PID. Finally, a LC filter has been used to eliminate the harmonics and\u0000compensate for the reactive power. For energy storage, we consider the utilization of lithiumion\u0000batteries, which are recognized as an optimal solution for storing energy efficiently. To\u0000manage the charge and discharge of the battery, we employ a PID controller and a buck-boost\u0000converter. Through this research, we aim to explore the performance and effectiveness of the\u0000hybrid ANN-fuzzy simulation for the boost converter system. By combining the capabilities of\u0000ANN and fuzzy logic, we expect to achieve improved control and optimization of the power\u0000conversion processes in the system. Additionally, the integration of lithium-ion batteries and\u0000the use of the PID controller and buck-boost converter allow for efficient management of energy\u0000storage and retrieval. Overall, this study investigates the hybrid ANN-fuzzy simulation for\u0000the boost converter system, highlighting the integration of various components and control\u0000techniques to enhance the performance and efficiency of the system.\u0000","PeriodicalId":506996,"journal":{"name":"Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)","volume":"54 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139599209","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}