K-means and alternative clustering methods in modern power systems

SM Miraftabzadeh, CG Colombo, M Longo… - IEEE …, 2023 - ieeexplore.ieee.org
As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …

[HTML][HTML] On the contribution of wind farms in automatic generation control: review and new control approach

A Oshnoei, R Khezri, SM Muyeen, F Blaabjerg - Applied sciences, 2018 - mdpi.com
Wind farms can contribute to ancillary services to the power system, by advancing and
adopting new control techniques in existing, and also in new, wind turbine generator …

Improving reliability of distribution networks using plug-in electric vehicles and demand response

O Sadeghian, M Nazari-Heris… - Journal of Modern …, 2019 - ieeexplore.ieee.org
Nowadays, utilities aim to find methods for improving the reliability of distribution systems
and satisfying the customers by providing the continuity of power supply. Different …

[HTML][HTML] Optimal probabilistic location of DGs using Monte Carlo simulation based different bio-inspired algorithms

MG Hemeida, S Alkhalaf, T Senjyu, A Ibrahim… - Ain Shams Engineering …, 2021 - Elsevier
Stochastic nature of load demand has a great impact on the performance of electrical power
system. As a result, planning of electrical power system considering load uncertainties …

Optimal placement of multi-period-based switched capacitor in radial distribution systems

O Sadeghian, A Oshnoei, M Kheradmandi… - Computers & Electrical …, 2020 - Elsevier
This paper proposes a methodology for optimal allocation of multi-period-based switchable
capacitor in radial distribution systems to minimize the energy loss and improve the voltage …

A robust data clustering method for probabilistic load flow in wind integrated radial distribution networks

O Sadeghian, A Oshnoei, M Kheradmandi… - International Journal of …, 2020 - Elsevier
Data clustering incorporated in Monte Carlo Simulation (MCS) proves efficient in
Probabilistic Load Flow (PLF) of the power grids under uncertainty of renewable energy …

A clustering-based approach for wind farm placement in radial distribution systems considering wake effect and a time-acceleration constraint

O Sadeghian, A Oshnoei, M Tarafdar-Hagh… - IEEE Systems …, 2020 - ieeexplore.ieee.org
This article proposes a method based on data clustering for the optimal placement and
sizing of wind farms (WFs) in radial distribution systems considering the wind uncertainty …

[HTML][HTML] An iterative scheme for the power-flow analysis of distribution networks based on decoupled circuit equivalents in the phasor domain

ZA Memon, R Trinchero, Y Xie, FG Canavero… - Energies, 2020 - mdpi.com
This paper presents an alternative solution for the power-flow analysis of power systems
with distributed generation provided by heterogeneous sources. The proposed simulation …

A clustering‐based technoeconomic analysis for wind farm and shunt capacitor allocation in radial distribution systems

O Sadeghian, A Oshnoei… - … on Electrical Energy …, 2021 - Wiley Online Library
This article investigates a clustering‐based approach to simultaneously seek the optimal
allocation of wind farm (WF) and shunt capacitor (SC) in distribution systems. The stochastic …

[HTML][HTML] An improved probabilistic load flow in distribution networks based on clustering and Point estimate methods

M Salehi, MM Rezaei - Energy and AI, 2023 - Elsevier
Clustering approaches are one of the probabilistic load flow (PLF) methods in distribution
networks that can be used to obtain output random variables, with much less computation …