[HTML][HTML] Implementation of artificial intelligence techniques in microgrid control environment: Current progress and future scopes

R Trivedi, S Khadem - Energy and AI, 2022 - Elsevier
Microgrids are gaining popularity by facilitating distributed energy resources (DERs) and
forming essential consumer/prosumer centric integrated energy systems. Integration …

A review on control strategies for microgrids with distributed energy resources, energy storage systems, and electric vehicles

V Nikam, V Kalkhambkar - International Transactions on …, 2021 - Wiley Online Library
This paper presents a brief review of state‐of‐the‐art operation and control strategies of
distributed energy resources, energy storage systems, and electric vehicles in the microgrid …

An experimental estimation of hybrid ANFIS–PSO-based MPPT for PV grid integration under fluctuating sun irradiance

N Priyadarshi, S Padmanaban… - IEEE Systems …, 2019 - ieeexplore.ieee.org
To enhance the photovoltaic (PV) power-generation conversion, maximum power point
tracking (MPPT) is the foremost constituent. This article introduces an adaptive neuro-fuzzy …

Modeling and analysis of a microgrid considering the uncertainty in renewable energy resources, energy storage systems and demand management in electrical retail …

C Wang, Z Zhang, O Abedinia, SG Farkoush - Journal of Energy Storage, 2021 - Elsevier
The renewable energy resources (RESs) are naturally generated such as wind turbine,
photovoltaic cell and etc., which can be used in microgrids. In this paper, a heuristic method …

Investigation in economic analysis of microgrids based on renewable energy uncertainty and demand response in the electricity market

S Huang, O Abedinia - Energy, 2021 - Elsevier
Owing to the increasing utilization of renewable resources such as wind turbines (WT),
photovoltaic (PV) into a microgrid (MG), optimal planning has become important to satisfy …

Research challenges in real-time classification of power quality disturbances applicable to microgrids: A systematic review

R Igual, C Medrano - Renewable and Sustainable Energy Reviews, 2020 - Elsevier
Microgrids with distributed renewable energy sources are especially sensitive to power
quality disturbances. To mitigate the effects of distortions, they must first be detected and …

[HTML][HTML] Robust control of adaptive power quality compensator in Multi-Microgrids for power quality enhancement using puzzle optimization algorithm

HF Sindi, S Alghamdi, M Rawa, AI Omar… - Ain Shams Engineering …, 2023 - Elsevier
The primary purpose of this paper is to design a novel multi-microgrid connection that uses
power compensation methods to improve voltage profiles and reduce harmonic distortions …

(Deep) reinforcement learning for electric power system control and related problems: A short review and perspectives

M Glavic - Annual Reviews in Control, 2019 - Elsevier
This paper reviews existing works on (deep) reinforcement learning considerations in
electric power system control. The works are reviewed as they relate to electric power …

Renewable energy effects on energy management based on demand response in microgrids environment

Z Yan, X Zhu, Y Chang, X Wang, Z Ye, Z Xu, A Fars - Renewable Energy, 2023 - Elsevier
With further penetration of low-carbon energy conversion, microgrids (MGs) have become a
necessary tool for expanding the consumption of renewable energies. In this paper, an …

Synergizing efficient optimal energy hub design for multiple smart energy system players and electric vehicles

O Abedinia, A Shorki, V Nurmanova, M Bagheri - IEEE Access, 2023 - ieeexplore.ieee.org
The growth in energy consumption and pollution has led to increase the utilization of clean
energy resources and electric vehicles (EVs), making the issue of network uncertainty a …