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[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
A hierarchical scheduling framework for resilience enhancement of decentralized renewable-based microgrids considering proactive actions and mobile units
Nowadays, decentralized microgrids (DC-MGs) have become a popular topic due to the
effectiveness and the less complexity. In fact, DC-MGs resist to share their internal …
effectiveness and the less complexity. In fact, DC-MGs resist to share their internal …
Coordinated preparation and recovery of a post-disaster multi-energy distribution system considering thermal inertia and diverse uncertainties
Low-probability but high-impact extreme events, such as floods, earthquakes, hurricanes,
etc., could threaten the security of a multi-energy system, especially on the distribution level …
etc., could threaten the security of a multi-energy system, especially on the distribution level …
Optimal stochastic scheduling of plug-in electric vehicles as mobile energy storage systems for resilience enhancement of multi-agent multi-energy networked …
This paper presents an optimal scheduling of plug-in electric vehicles (PEVs) as mobile
power sources for enhancing the resilience of multi-agent systems (MAS) with networked …
power sources for enhancing the resilience of multi-agent systems (MAS) with networked …
A hierarchical deep learning approach to optimizing voltage and frequency control in networked microgrid systems
Distributed energy sources (DERs) and microgrids (MGs) will play an important role in
improving the resilience, reliability and sustainability of the grid through dedicated …
improving the resilience, reliability and sustainability of the grid through dedicated …
A cooperative game approach for optimal resiliency-oriented scheduling of transactive multiple microgrids
The growth of distributed energy resources and microgrids (MGs) attracts attention to the
transactive multiple MG (TMMG) concept. This paper proposes a novel framework that …
transactive multiple MG (TMMG) concept. This paper proposes a novel framework that …
The nexus of energy in microgrids: A review on communication barriers in distributed networks auxiliary controls
Microgrids are a new concept resulting from decentralized power sources, which have
changed energy utility grid topography. As this promising field is penetrated, control must be …
changed energy utility grid topography. As this promising field is penetrated, control must be …
Emerging renewable-based electricity grids under high penetration of cleaner prosumers: unraveling the flexibility issues using a four-layer decentralized mechanism
The rise in distributed renewable generation and active prosumers has heightened power
exchanges in Distribution Systems (DS), causing congestion issues. This paper presents a …
exchanges in Distribution Systems (DS), causing congestion issues. This paper presents a …
[HTML][HTML] Stochastic, resilience-oriented optimal sizing of off-grid microgrids considering EV-charging demand response: An efficiency comparison of state-of-the-art …
The resilient microgrid (MG) capacity planning and optimisation problem is widely
recognised as a non-deterministic polynomial time-hard (NP-hard) problem. Accordingly …
recognised as a non-deterministic polynomial time-hard (NP-hard) problem. Accordingly …
A posteriori multiobjective approach for techno-economic allocation of PV and BES units in a distribution system hosting PHEVs
This paper proposes a posteriori multiobjective approach to effectively integrate photovoltaic
(PV) units into the distribution network. PV units are inherently non-dispatchable sources …
(PV) units into the distribution network. PV units are inherently non-dispatchable sources …