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  • Open Access

    ARTICLE

    Pareto Multi-Objective Reconfiguration of IEEE 123-Bus Unbalanced Power Distribution Networks Using Metaheuristic Algorithms: A Comprehensive Analysis of Power Quality Improvement

    Nisa Nacar Çıkan*

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3279-3327, 2025, DOI:10.32604/cmes.2025.065442 - 30 June 2025

    Abstract This study addresses the critical challenge of reconfiguration in unbalanced power distribution networks (UPDNs), focusing on the complex 123-Bus test system. Three scenarios are investigated: (1) simultaneous power loss reduction and voltage profile improvement, (2) minimization of voltage and current unbalance indices under various operational cases, and (3) multi-objective optimization using Pareto front analysis to concurrently optimize voltage unbalance index, active power loss, and current unbalance index. Unlike previous research that oftensimplified system components, this work maintains all equipment, including capacitor banks, transformers, and voltage regulators, to ensure realistic results. The study evaluates twelve metaheuristic More >

  • Open Access

    ARTICLE

    Investigation of urology intraoperative events leading to root cause analysis at national VA medical centers

    Leslie M. Peard1, Seth Teplitsky1, Arati Annabathula2, William Gunnar3, Peter Mills4, Andrew Harris1,2

    Canadian Journal of Urology, Vol.30, No.2, pp. 11467-11472, 2023

    Abstract Introduction: Adverse events in urologic procedures are poorly studied. This study analyzes the Veterans Health Administration (VHA) Root Cause Analysis (RCA) data for patient safety adverse events during urologic procedures performed in a VHA operating room (OR).
    Materials and methods: The VHA National Center for Patient Safety RCA database was queried for fiscal years 2015-2019 using urologic terms including vasectomy, prostatectomy, nephrectomy, cystectomy, cystoscopy, lithotripsy, ureteroscopy, urethral, TURBT, etc. RCAs for events outside a VHA OR were excluded. Cases were categorized based on type of event.
    Results: Sixty-eight RCAs were identified for 319,713 urologic procedures. The most common… More >

  • 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

    ARTICLE

    Relationship between operative duration and perioperative outcomes after radical cystectomy

    Kassem S. Faraj1, Nathanael Judge1, Gail Blodgett2, Mark D. Tyson II1

    Canadian Journal of Urology, Vol.28, No.2, pp. 10603-10609, 2021

    Abstract Introduction: Prolonged operative times have been associated with an increased risk of complications in other major abdominal surgeries. This study tests the hypothesis that longer operative times will be associated with an increased risk of perioperative complications after radical cystectomy (RC).
    Materials and methods: Adult patients who underwent RC from January 1, 2012, through December 31, 2016, were identified from the National Surgical Quality Improvement Program (NSQIP) database. A natural log transformation was used to determine cutoff points for operative times at the 33rd, 67th, and 90th percentiles: 272, 371, and 479 minutes, respectively. Cohorts were divided… More >

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