Reinforcement learning-based intelligent control strategies for optimal power management in advanced power distribution systems: A survey

M Al-Saadi, M Al-Greer, M Short - Energies, 2023 - mdpi.com
Intelligent energy management in renewable-based power distribution applications, such as
microgrids, smart grids, smart buildings, and EV systems, is becoming increasingly important …

Adaptive droop based control strategy for DC microgrid including multiple batteries energy storage systems

S Ferahtia, A Djerioui, H Rezk, A Chouder… - Journal of Energy …, 2022 - Elsevier
In a microgrid architecture that includes energy storage systems based on parallel batteries,
the inequalities in the batteries' state of charge may cause inconsistency in the residual …

An improved distributed secondary control strategy for battery storage system in DC shipboard microgrid

Y Zeng, Q Zhang, Y Liu, X Zhuang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, an improved distributed secondary control strategy is proposed to achieve
state of charge (SoC) balance, accurate load current sharing, and bus voltage recovery for …

Energy management supported on genetic algorithms for the equalization of battery energy storage systems in microgrid systems

CH Ricardo, LH Adriana, DA Nelson - Journal of Energy Storage, 2023 - Elsevier
Energy management plays a fundamental role in ensuring the optimal operation of a
microgrid (MG). Since MGs rely heavily on renewable energy sources, having batteries …

Consensus-based state of charge dynamic equilibrium strategy in isolated DC microgrid with bus voltage regulation

Q Zhang, H Yu, Y Liu, Y Zhao, Y Hu, Y Zeng… - Sustainable Energy …, 2022 - Elsevier
Due to the tremendous benefits of integrating sustainable energy, the use of DC microgrid is
gradually expanding. This paper presents a novel consensus-based State of Charge (SoC) …

Enable Microgrid Energy Management: A Graph Based Aggregative Game Approach

G Xu, Y Zhang, J Sun, G Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rising adoption of distributed and intermittent renewable energy sources, microgrids
have emerged as a promising solution to the resulting challenges. Specifically, microgrids …

Multiagent Power Flow Control for Plug-and-Play Battery Energy Storage Systems in DC Microgrids

M Al-Saadi, M Short - 2023 58th International Universities …, 2023 - ieeexplore.ieee.org
Multiagent reinforcement learning has proven remarkably effective at finding near-optimal
solutions to complex non-linear control problems when compared to classical schemes …

Adaptive Multiagent Primary Secondary Control for Accurate Synchronized Charge-Discharge Scenarios of Battery Distributed Energy Storage Systems in DC …

M Al-Saadi, M Al-Greer - 2022 57th International Universities …, 2022 - ieeexplore.ieee.org
The inaccurate synchronization of the charge-discharge scenarios for battery distributed
energy storage systems under a decentralized multiagent-based primary-secondary control …

Modeling and Performance Assessment of the Split-Pi Used as a Storage Converter in All the Possible DC Microgrid Scenarios. Part II: Simulation and Experimental …

M Luna, A Sferlazza, A Accetta, MC Di Piazza… - Energies, 2021 - mdpi.com
Bidirectional DC/DC converters such as the Split-pi can be used to integrate an energy
storage system (ESS) into a DC microgrid providing manifold benefits. However, this …

An improved decentralized control strategy for a PV hybrid energy storage system in an LVDC microgrid

J Li, Y Chen, Y Wu, X Cheng, R Yang - Frontiers in Energy Research, 2024 - frontiersin.org
This paper introduces an improved decentralized control strategy for a photovoltaic (PV)
hybrid energy storage (HES) system (HESS) in a DC microgrid. The power sharing method …