Review of energy storage system technologies integration to microgrid: Types, control strategies, issues, and future prospects

S Choudhury - Journal of Energy Storage, 2022 - Elsevier
Microgrids (MGs) have emerged as a viable solution for consumers consisting of Distributed
Energy Resources (DERs) and local loads within a smaller zone that can operate either in …

IoT‐based cyber‐physical communication architecture: challenges and research directions

MM Rana, R Bo - IET Cyber‐Physical Systems: Theory & …, 2020 - Wiley Online Library
In order to provide intelligent services, the Internet of Things (IoT) facilitates millions of smart
cyber‐physical devices to be enabled with network connectivity to sense, collect, process …

Supervised learning for more accurate state estimation fusion in IoT-based power systems

DS Zadeh, B Moshiri, M Abedini, JM Guerrero - Information Fusion, 2023 - Elsevier
Concerned with deploying zero-emission energy sources, reducing energy wasted through
transmission lines, and managing power supply and demand, monitoring and controlling …

Design and implementation of a machine learning state estimation model for unobservable microgrids

BAA Acurio, DEC Barragán, JCL Amezquita… - IEEE …, 2022 - ieeexplore.ieee.org
An observable microgrid may become unobservable when sensors are at fault, sensor data
is missing, or data has been tampered by malicious agents. In those cases, state estimation …

Effective dynamic state estimation algorithm for islanded microgrid structures based on singular perturbation theory

N Vieyra, P Maya, LM Castro - Electric Power Systems Research, 2020 - Elsevier
This paper introduces an effective dynamic state estimator for Islanded Microgrids. Basing
on a set of nonlinear Differential Algebraic equations representing the electrical grid and the …

Dynamic state estimation for microgrid structures

N Vieyra, P Maya, LM Castro - Electric Power Components and …, 2020 - Taylor & Francis
In this article, the dynamic state estimation of the islanded microgrids problem is addressed.
The electrical network and energy sources are represented as a set of Nonlinear Differential …

Supervised learning for more accurate state estimation fusion in IoT-based power systems

D Sadrian Zadeh, B Moshiri, M Abedini, JM Guerrero - 2023 - dl.acm.org
Concerned with deploying zero-emission energy sources, reducing energy wasted through
transmission lines, and managing power supply and demand, monitoring and controlling …

[PDF][PDF] Design and Implementation of a Machine Learning State Estimation Model for Unobservable Microgrids

LCP DA SILVA - researchgate.net
An observable microgrid may become unobservable when sensors are at fault, sensor data
is missing, or data has been tampered by malicious agents. In those cases, state estimation …

[PDF][PDF] Dynamic State Estimation in Electric Power Systems

NV Valencia - 2021 - ru.dgb.unam.mx
Nowadays, the electric industries face an unprecedented growth of new technologies for
generating energy. Microturbines, photovoltaic cells, wind turbines, wave energy converters …