Search Results - _ distribution ((((factor algorithm) OR (acs algorithm))) OR (function algorithm))
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Model predictive control of bidirectional AC-DC converter for energy storage system
Published 2023Article -
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Model predictive control of bidirectional AC-DC converter for energy storage system
Published 2015“…This paper presents a model predictive algorithm to control a bidirectional AC-DC converter, which is used in an energy storage system for power transferring between the three-phase AC voltage supply and energy storage devices. …”
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Design and implementation of a single-phase to three-phase space-vector pwm-based matrix converter system for induction motor drives
Published 2016“…Compared to the other available ac-ac converters, Matrix converter has many advantages such as bidirectional energy flow capability, less harmonics and high power factor operation. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of distributed generation in radial distribution network
Published 2022“…As for multi-objective functions associated with the optimisation problem, a weight-sum method is typically used to determine each objective function's coefficient factors (CF). …”
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Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal
Published 2022“…In addition, objective function using the same CSSA algorithm were applied i.e., Vmin and Ploss as the objective function, and multi-objective involves Vmin and Ploss as the objective function. …”
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Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…These algorithms are used to obtain the optimal size of distributed generators units to be installed at optimal locations, which are obtained using loss sensitivity factor. …”
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An enhanced ant colony system algorithm for dynamic fault tolerance in grid computing
Published 2020“…However, ACS algorithm does not consider the resource fitness during task scheduling which leads to poor load balancing and lower execution success rate. …”
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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat
Published 2020“…In this study, the problem of determination dengue disease factors was modeled using a neural network. The activation function in this neural network model then estimated using genetic algorithms. …”
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A Study And Development Of Digital Control Technique For Power Factor Correction Using Pre-Calculated Algorithm With A Low Cost 8-Bit Microcontroller
Published 2013“…A digital control technique for power factor correction using pre-calculated algorithm with a low cost 8-bit microcontroller is studied and presented in this paper. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. …”
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Firefly analytical hierarchy algorithm for optimal allocation and sizing of DG in distribution network
Published 2022“…However, specious DG's allocation and sizing may cause more power loss and voltage profile issues for distribution feeders. Therefore, optimization algorithms are vital for future intelligent power distribution network planning. …”
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Impatient task mapping in elastic cloud using genetic algorithm
Published 2011“…Problem statement: Task scheduling is the main factor that determines the performance of any distributed system. …”
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Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…This thesis proposes an algorithm to find the optimum distribution substation placement and sizing by utilizing the PSO algorithm and optimum feeder routing using modified Minimum Spanning Tree (MST). …”
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Optimizing crystal size distribution based on different cooling strategies in batch crystallization process
Published 2024“…Different temperature profiles may influence the distribution of crystal products, and a suitable optimization algorithm is required to produce an optimum temperature trajectory that produces the desired CSD. …”
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Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…Also, a one-step iterative algorithm, called expected rank algorithm, is introduced which is more complicated than the estimation-approximation algorithm, but more accurate. …”
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Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Finally, propose a new method of obtaining optimal parameters dropping functions for Random Early Detection (RED) algorithm. …”
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Efficient back-off mechanism for multimedia support in IEEE 802.11E
Published 2012“…The simulation results demonstrate that the proposed algorithm has greatly outperformed the previous mechanisms such as the non-linear dynamic adaptation scheme of the minimum contention window (CWmin HA), dynamic adaptation algorithm of the maximum contention window (CWmax adaptation), Adaptive Enhanced Distributed Coordination Function (AEDCF), Random adaptive MAC parameters scheme RAMPS and the conventional EDCA mechanism. …”
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Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent
Published 2023“…Distributed power generation; Electric power factor; Electric power transmission networks; Location; MATLAB; Photovoltaic cells; Solar energy; Stability; Distributed generation units; Fast voltage stability indices; Line stability factor; Optimisations; Photovoltaics; Power factors; Stability factor; System loss; Voltage profile; Voltage-stability index; Genetic algorithms…”
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