Multi-agent reinforcement learning: A selective overview of theories and algorithms
Recent years have witnessed significant advances in reinforcement learning (RL), which
has registered tremendous success in solving various sequential decision-making problems …
has registered tremendous success in solving various sequential decision-making problems …
An overview of multi-agent reinforcement learning from game theoretical perspective
Y Yang, J Wang - arXiv preprint arXiv:2011.00583, 2020 - arxiv.org
Following the remarkable success of the AlphaGO series, 2019 was a booming year that
witnessed significant advances in multi-agent reinforcement learning (MARL) techniques …
witnessed significant advances in multi-agent reinforcement learning (MARL) techniques …
Fully decentralized multi-agent reinforcement learning with networked agents
We consider the fully decentralized multi-agent reinforcement learning (MARL) problem,
where the agents are connected via a time-varying and possibly sparse communication …
where the agents are connected via a time-varying and possibly sparse communication …
A survey of relaxations and approximations of the power flow equations
DK Molzahn, IA Hiskens - Foundations and Trends® in …, 2019 - nowpublishers.com
The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …
system and are therefore key to many power system optimization and control problems …
A survey of distributed optimization and control algorithms for electric power systems
Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …
optimization and control. With increasing penetrations of distributed energy resources …
Two-stage volt/var control in active distribution networks with multi-agent deep reinforcement learning method
The high penetration of intermittent renewable energy resources in active distribution
networks (ADN) results in a great challenge for the conventional Volt-Var control (VVC). This …
networks (ADN) results in a great challenge for the conventional Volt-Var control (VVC). This …
Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer …
This paper reviews approaches for facilitating the integration of small-scale distributed
energy resources (DER) into low-and medium-voltage networks, in the context of the …
energy resources (DER) into low-and medium-voltage networks, in the context of the …
Distributed and decentralized voltage control of smart distribution networks: Models, methods, and future research
KE Antoniadou-Plytaria… - … on smart grid, 2017 - ieeexplore.ieee.org
The future grid is evolving into a smart distribution network that integrates multiple
distributed energy resources ensuring at the same time reliable operation and increased …
distributed energy resources ensuring at the same time reliable operation and increased …
State of the art in research on microgrids: A review
The significant benefits associated with microgrids have led to vast efforts to expand their
penetration in electric power systems. Although their deployment is rapidly growing, there …
penetration in electric power systems. Although their deployment is rapidly growing, there …
Blockchains for decentralized optimization of energy resources in microgrid networks
We present an architecture for peer-to-peer energy markets which can guarantee that
operational constraints are respected and payments are fairly rendered, without relying on a …
operational constraints are respected and payments are fairly rendered, without relying on a …