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  • Open Access

    ARTICLE

    Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

    Abdul Quawi1,*, Y. Mohamed Shuaib1, M. Manikandan2

    Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3469-3486, 2023, DOI:10.32604/iasc.2023.035001 - 15 March 2023

    Abstract In this work, an Artificial Neural Network (ANN) based technique is suggested for classifying the faults which occur in hybrid power distribution systems. Power, which is generated by the solar and wind energy-based hybrid system, is given to the grid at the Point of Common Coupling (PCC). A boost converter along with perturb and observe (P&O) algorithm is utilized in this system to obtain a constant link voltage. In contrast, the link voltage of the wind energy conversion system (WECS) is retained with the assistance of a Proportional Integral (PI) controller. The grid synchronization is… More >

  • Open Access

    ARTICLE

    Analysis and Power Quality Improvement in Hybrid Distributed Generation System with Utilization of Unified Power Quality Conditioner

    Noor Zanib1, Munira Batool1, Saleem Riaz2, Farkhanda Afzal3, Sufian Munawar4, Ibtisam Daqqa5, Najma Saleem5,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1105-1136, 2023, DOI:10.32604/cmes.2022.021676 - 31 August 2022

    Abstract This paper presents a comprehensive study that includes the sizing and power flow by series and parallel inverters in a distributed generation system (DGs) that integrates the system of hybrid wind photovoltaic with a unified power quality conditioner (UPQC). In addition to supplying active power to the utility grid, the system of hybrid wind photovoltaic functions as a UPQC, compensating reactive power and suppressing the harmonic load currents. Additionally, the load is supplied with harmonic-free, balanced and regulated output voltages. Since PVWind-UPQC is established on a dual compensation scheme, the series inverter works like a… More >

  • Open Access

    ARTICLE

    A Fractional Order Fast Repetitive Control Paradigm of Vienna Rectifier for Power Quality Improvement

    Sue Wang1, Xintao Luo1,*, Saleem Riaz2, Haider Zaman3, Chaohong Zhou1, Pengfei Hao1

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1159-1176, 2023, DOI:10.32604/cmes.2022.021850 - 31 August 2022

    Abstract Due to attractive features, including high efficiency, low device stress, and ability to boost voltage, a Vienna rectifier is commonly employed as a battery charger in an electric vehicle (EV). However, the 6k ± 1 harmonics in the acside current of the Vienna rectifier deteriorate the THD of the ac current, thus lowering the power factor. Therefore, the current closed-loop for suppressing 6k ± 1 harmonics is essential to meet the desired total harmonic distortion (THD). Fast repetitive control (FRC) is generally adopted; however, the deviation of power grid frequency causes delay link in the More >

  • Open Access

    ARTICLE

    Harmonics Extraction Scheme for Power Quality Improvement Using Chbmli-Dstatcom Module

    R. Hemalatha1,*, M. Ramasamy2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1505-1525, 2023, DOI:10.32604/iasc.2023.026301 - 19 July 2022

    Abstract In recent day’s power distribution system is distress from acute power quality issues. In this work, for compensating Power Quality (PQ) disturbances a seven level cascaded H-bridge inverter is implemented in distribution static compensator which protects power quality problems in currents. Distribution Static Compensator (DSTATCOM) aid to enhances power factor and removes total harmonic distortion which is drawn from non-linear load. The D–Q reference theory based hysteresis current controller is employed to generate reference current for compensation of harmonics and reactive power, additionally Probabilistic Neural Network (PNN) classifier is used which easily separates exact harmonics. More >

  • Open Access

    ARTICLE

    ANN Based Reduced Switch Multilevel Inverter in UPQC for Power Quality Improvement

    Y. Alexander Jeevanantham1,*, S. Srinath2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 909-921, 2022, DOI:10.32604/iasc.2022.022907 - 08 February 2022

    Abstract A unified power quality conditioner (UPQC) plays a crucial role in the Power quality improvement of a power system. In this paper, a reduced switch multilevel inverter is with artificial neural network, soft computing technique control is proposed for UPQC. This proposed topology is employed for the mitigation of various power quality issues such as voltage sag, voltage swell, power factor, harmonics, and restoration time of voltage compensation. To show the enriched performance of the proposed topology comparative analysis is made with other two topologies of UPQC such as Conventional UPQC and UPQC using cascaded More >

  • Open Access

    ARTICLE

    Hybrid Renewable Energy Source Combined Dynamic Voltage Restorer for Power Quality Improvement

    N. Kanagaraj*

    Computer Systems Science and Engineering, Vol.40, No.2, pp. 517-538, 2022, DOI:10.32604/csse.2022.019149 - 09 September 2021

    Abstract In this paper, the hybrid photovoltaic-thermoelectric generator (PV-TEG) combined dynamic voltage restorer (DVR) system is proposed for the power quality disturbances compensation in a single-phase distribution system. The stable and precise level of input voltage is essential for the smooth and trouble-free operation of the electrically sensitive loads which are connected at the utility side to avoid system malfunctions. In this context, the hybrid PV-TEG energy module combined DVR system is proposed in this paper. With the support of the hybrid energy module, the DVR will perform the power quality disturbances compensation effectively with needed… More >

  • Open Access

    REVIEW

    Ensemble Learning Models for Classification and Selection of Web Services: A Review

    Muhammad Hasnain1, Imran Ghani2, Seung Ryul Jeong3,*, Aitizaz Ali1

    Computer Systems Science and Engineering, Vol.40, No.1, pp. 327-339, 2022, DOI:10.32604/csse.2022.018300 - 26 August 2021

    Abstract This paper presents a review of the ensemble learning models proposed for web services classification, selection, and composition. Web service is an evolutionary research area, and ensemble learning has become a hot spot to assess web services’ earlier mentioned aspects. The proposed research aims to review the state of art approaches performed on the interesting web services area. The literature on the research topic is examined using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) as a research method. The study reveals an increasing trend of using ensemble learning in the chosen papers More >

  • Open Access

    REVIEW

    Functional Role of miRNAs: Key Players in Soybean Improvement

    Kapil Gupta1, Sujit Kumar Mishra2, Shubhra Gupta3, Saurabh Pandey4, Jogeswar Panigrahi5,*, Shabir Hussain Wani6,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1339-1362, 2021, DOI:10.32604/phyton.2021.015239 - 27 May 2021

    Abstract Soybean (Glycine max (L.) Merr) is an agro-economic crop growing across the world to cater nutrition for both human and animal feed due to the high oil and protein content in its edible seeds. The genes and QTLs associated with important agronomic traits in this crop have already been identified and validated for soybean cyst nematode (SCN), Phytophthora root and stem rot, Pythium root rot and aphid resistance, seed quality, nutrient values, and also employed for genetic improvement in soybean. In the last decade, micro RNAs (miRNAs) have been considered the effector molecules, so the detection and More >

  • Open Access

    ARTICLE

    Initiating a Fontan multidisciplinary clinic: Decreasing care variability, improving surveillance, and subsequent treatment of Fontan survivors

    Michael V. Di Maria1, Cindy Barrett1, Carey Rafferty1, Kelly Wolfe1, Sarah L. Kelly1, Deborah R. Liptzin2, Dania Brigham3, Adel Younoszai1

    Congenital Heart Disease, Vol.14, No.4, pp. 590-599, 2019, DOI:10.1111/chd.12769

    Abstract Background: Children with single ventricle (SV) heart disease who undergo Fontan operation are at risk for developing multiorgan dysfunction. Although survival has improved, significant comorbidities involving multiple organ systems may develop, requiring evaluation and management by many subspecialists. Using data from an internal survey, we documented high care variability for our Fontan population. We then developed a multidisciplinary clinic, designed and implemented a clinical care pathway to decrease variability of patient assessment.
    Methods: After creating a multidisciplinary team and a clinical care pathway, we initiated a multidisciplinary clinic (MDC) where patients could see multiple subspecialists during a… More >

  • Open Access

    ARTICLE

    Variation in care practices across pediatric acute care cardiology units: Results of the Pediatric Acute Care Cardiology Collaborative (PAC3 ) hospital survey

    Amanda Hoerst1, Adnan Bakar2, Steven C. Cassidy3, Martha Clabby4, Erica Del Grippo5, Margaret Graupe1, Ashraf S. Harahsheh6, Anthony M. Hlavacek7, Stephen A. Hart3, Alaina K. Kipps8, Nicolas L. Madsen1, Dora D. O’Neil9, Sonali S. Patel10, Courtney M. Strohacker11, Ronn E. Tanel12

    Congenital Heart Disease, Vol.14, No.3, pp. 419-426, 2019, DOI:10.1111/chd.12739

    Abstract Background: The Pediatric Acute Care Cardiology Collaborative (PAC3) was estab‐ lished in 2014 to improve the quality, value, and experience of hospital‐based cardiac acute care outside of the intensive care unit. An initial PAC3 project was a compre‐ hensive survey to understand unit structure, practices, and resource utilization across the collaborative. This report aims to describe the previously unknown degree of practice variation across member institutions.
    Methods: A 126‐stem question survey was developed with a total of 412 possible response fields across nine domains including demographics, staffing, available re‐ sources and therapies, and standard care practices. Five… More >

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