Distributed energy resources on distribution networks: A systematic review of modelling, simulation, metrics, and impacts

J Caballero-Pena, C Cadena-Zarate… - International Journal of …, 2022 - Elsevier
Distributed energy resources (DERs) have gained particular attention in the last few years
owing to their rapid deployment in power capacity installation and expansion into …

A piecewise probabilistic harmonic power flow approach in unbalanced residential distribution systems

X Xie, Y Sun - International Journal of Electrical Power & Energy …, 2022 - Elsevier
With the improvement of living standards and economic growth, the electricity consumption
of Chinese residents is increasing year by year. Due to the existence of many nonlinear …

Probabilistic harmonic forecasting of the distribution system considering time-varying uncertainties of the distributed energy resources and electrical loads

Y Li, Y Sun, Q Wang, K Sun, KJ Li, Y Zhang - Applied Energy, 2023 - Elsevier
Distributed energy resources (DER) and electrical loads have grown rapidly in response to
concerns about energy sustainability and rising energy demand. However, to realize energy …

Optimal stochastic self-scheduling of a water-energy virtual power plant considering data clustering and multiple storage systems

N Rezaei, Y Pezhmani, RP Mohammadiani - Journal of Energy Storage, 2023 - Elsevier
As the world moves towards the integration of different water and energy resources, as well
as storage systems, it is necessary to develop the conventional structure of virtual power …

Optimal stochastic-probability management of resources and energy storage in energy hub considering demand response programs and uncertainties

A Dalimi-Asl, S Javadi, A Ahmarinejad… - Sustainable Cities and …, 2023 - Elsevier
Because the probability decision-making variables in the energy hub (EH) cause technical,
economic and environmental challenges, this study presents a multi-objective planning …

Data clustering based probabilistic optimal scheduling of an energy hub considering risk-averse

Y Allahvirdizadeh, S Galvani, H Shayanfar - International Journal of …, 2021 - Elsevier
An energy hub (EH) is a multi-carrier energy system supplying various types of energy
demands. Optimal management of these systems is a non-linear, non-convex, and …

[HTML][HTML] An unsupervised learning schema for seeking patterns in rms voltage variations at the sub-10-minute time scale

Y Mohammadi, SM Miraftabzadeh, MHJ Bollen… - … Energy, Grids and …, 2022 - Elsevier
This paper proposes an unsupervised learning schema for seeking the patterns in rms
voltage variations at the time scale between 1 s and 10 min, a rarely considered time scale …

Optimal parameters setting for soft open point to improve power quality indices in unbalanced distribution systems considering loads and renewable energy sources …

H Ebrahimi, S Galvani, V Talavat… - Electric Power Systems …, 2024 - Elsevier
The importance of power quality has increased in recent years due to ever-increasing
nonlinear load demands. In addition, real distribution networks are inherently unbalanced …

[HTML][HTML] Seeking patterns in rms voltage variations at the sub-10-minute scale from multiple locations via unsupervised learning and patterns' post-processing

Y Mohammadi, SM Miraftabzadeh, MHJ Bollen… - International Journal of …, 2022 - Elsevier
This paper addresses the issue of seeking sub-10-min patterns in fast rms voltage variations
from time-limited measurement data at multiple locations worldwide. This is a rarely …

Probabilistic load flow based on holomorphic embedding, kernel density estimator and saddle point approximation including correlated uncertainty variables

AR Abbasi - Electric Power Systems Research, 2020 - Elsevier
Abstract Probabilistic Load Flow (PLF) methods have been extensively regarded due to the
growth of uncertainty and renewable energies penetration in power systems. Given that, the …