Decision making in multiagent systems: A survey

Y Rizk, M Awad, EW Tunstel - IEEE Transactions on Cognitive …, 2018 - ieeexplore.ieee.org
Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …

Multi-agent system for microgrids: design, optimization and performance

K Tazi, FM Abbou, F Abdi - Artificial Intelligence Review, 2020 - Springer
Smart grids are considered a promising alternative to the existing power grid, combining
intelligent energy management with green power generation. Decomposed further into …

Heterogeneous energy storage optimization for microgrids

X Qiu, TA Nguyen, ML Crow - IEEE Transactions on Smart Grid, 2015 - ieeexplore.ieee.org
As microgrids evolve, it is reasonable to expect that a variety of energy storage systems
(ESSs) with different operational characteristics will be used simultaneously. Because each …

Prediction-based multi-agent reinforcement learning in inherently non-stationary environments

A Marinescu, I Dusparic, S Clarke - ACM Transactions on Autonomous …, 2017 - dl.acm.org
Multi-agent reinforcement learning (MARL) is a widely researched technique for
decentralised control in complex large-scale autonomous systems. Such systems often …

Decentralized optimal management of a large-scale EV fleet: optimality and computational complexity comparison between an Adaptive MAS and MILP

S Zafar, A Blavette, G Camilleri, HB Ahmed… - International Journal of …, 2023 - Elsevier
Increasing the penetration of variable and uncertain renewables and electric vehicles in
power systems may give rise to problems (such as network congestion and commitment …

Sharing of energy among cooperative households using distributed multi-agent reinforcement learning

N Ebell, M Gütlein, M Pruckner - 2019 IEEE PES Innovative …, 2019 - ieeexplore.ieee.org
Due to the increase of the complexity and uncertainty in the future sustainable energy
system new control algorithms for decentralized acting energy entities are needed. We …

Using reinforcement learning to make smart energy storage sources in microgrid

S Etemad, N Mozayani - 2015 30th International Power System …, 2015 - ieeexplore.ieee.org
The use of renewable energy in power generation, sudden changes in load and fault in
power transmission lines, causing a voltage drop in the system and challenge the reliability …

Adaptive Multi-Agent System and Mixed Integer Linear Programming Optimization Comparison for Grid Stability and Commitment Mismatch in Smart Grids

S Zafar, V Maurya, A Blavette… - 2021 IEEE PES …, 2021 - ieeexplore.ieee.org
Existing electrical networks are going through a transition and distributed energy resource, if
not managed properly, can hinder this transition. Uncontrolled introduction of photovoltaics …

Approche à base d'agents pour l'ingénierie et le contrôle de micro-réseaux

G Basso - 2013 - theses.hal.science
La gestion d'énergie est un sujet de plus en plus important dans notre société. Nous faisons
actuellement face à un nombre croissant de problèmes tels que l'épuisement des réserves …

[图书][B] Power management of remote microgrids considering battery lifetime

S Chalise - 2016 - search.proquest.com
Abstract Currently, 20%(1.3 billion) of the world's population still lacks access to electricity
and many live in remote areas where connection to the grid is not economical or practical …