Results 51 to 60 of about 37,227 (199)

Adopting Dynamic VAR Compensators to Mitigate PV Impacts on Unbalanced Distribution Systems

open access: yesIEEE Access, 2023
The growing integration of distributed energy resources into distribution systems poses challenges for voltage regulation. Dynamic VAR Compensators (DVCs) are a new generation of power electronics-based Volt/VAR compensation devices designed to address ...
Han Pyo Lee   +4 more
doaj   +1 more source

Optimal Clean Energy Resource Allocation in Balanced and Unbalanced Operation of Sustainable Electrical Energy Distribution Networks

open access: yesEnergies
Electric power is crucial for economic growth and the overall development of any country. The efficient planning of distribution system is necessary because all the consumers mainly rely on the distribution network to access the power. This paper focuses
Abhinav Kumar   +4 more
doaj   +1 more source

Optimal Operation of Multi-Microgrids Using Stochastic Distributed Energy Management Approach Considering the Risk of Microgrid Islanding

open access: yesEnergies
Microgrids (MGs) have lately received significant attention from researchers as a contemporary solution to better employ the high penetration of renewable energy sources (RESs) to enhance energy sustainability.
Abdulraheem H. Alobaidi
doaj   +1 more source

Optimal reconfiguration and DG allocation in balanced and unbalanced distribution systems

open access: yesAin Shams Engineering Journal, 2014
This paper investigates feeder reconfiguration in balanced and unbalanced networks and presents an efficient method to optimize practical distribution systems by means of simultaneous reconfiguration and distributed generation (DG) allocation.
Seyed Abbas Taher   +1 more
doaj   +1 more source

Voltage Stability Constrained Optimal Power Flow for Unbalanced Distribution System Based on Semidefinite Programming

open access: yesJournal of Modern Power Systems and Clean Energy, 2022
This paper proposes a voltage stability constrained optimal power flow (VSC-OPF) for an unbalanced distribution system with distributed generators (DGs) based on semidefinite programming (SDP).
Yanling Lin   +4 more
doaj   +1 more source

Efficient method for transformer models implementation in distribution load flow matrix

open access: yesElectrical engineering & Electromechanics, 2023
Introduction. Most distribution networks are unbalanced and therefore require a specific solution for load flow. There are many works on the subject in the literature, but they mainly focus on simple network configurations. Among the methods dedicated to
M. Kadri, A. Hamouda, S. Sayah
doaj   +1 more source

ExaGridPF: A parallel power flow solver for transmission and unbalanced distribution systems [PDF]

open access: yes2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2018
This paper investigates parallelization strategies for solving power flow problems in both transmission and unbalanced, three-phase distribution systems by developing a scalable power flow solver, ExaGridPF, which is compatible with existing high-performance computing platforms.
Bin Wang, John Bachan, Cy P. Chan
openaire   +2 more sources

Formulations for the apparent and unbalanced power vectors in three-phase sinusoidal systems [PDF]

open access: yes, 2018
[EN] Buchholz's apparent power and its derived unbalanced power, determined from the quadratic difference between the apparent power and the positive-sequence apparent power, are formulated in this paper in vector notation for three-phase sinusoidal ...
León-Martínez, Vicente   +3 more
core   +1 more source

Optimal multi-objective reconfiguration and capacitor placement of distribution systems with the Hybrid Big Bang–Big Crunch algorithm in the fuzzy framework

open access: yesAin Shams Engineering Journal, 2016
Network reconfiguration and capacitor placement are useful options applied to reduce power losses and to keep voltage profiles within permissible limits in distribution systems.
Mostafa Sedighizadeh, Reza Bakhtiary
doaj   +1 more source

Weighted parallel SGD for distributed unbalanced-workload training system

open access: yesCoRR, 2017
Stochastic gradient descent (SGD) is a popular stochastic optimization method in machine learning. Traditional parallel SGD algorithms, e.g., SimuParallel SGD, often require all nodes to have the same performance or to consume equal quantities of data.
Daning Cheng   +2 more
openaire   +2 more sources

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