Evolution of PV systems in Greece and review of applicable solutions for higher penetration levels
Abstract The European Directive regarding the promotion of energy from renewable sources
(Directive 2009/28 EC) specifies separate national targets for each member state of the EU …
(Directive 2009/28 EC) specifies separate national targets for each member state of the EU …
Data-driven district energy management with surrogate models and deep reinforcement learning
G Pinto, D Deltetto, A Capozzoli - Applied Energy, 2021 - Elsevier
Demand side management at district scale plays a crucial role in the energy transition
process, being an ideal candidate to balance the needs of both users and grid, by managing …
process, being an ideal candidate to balance the needs of both users and grid, by managing …
Cooperative MPC-based energy management for networked microgrids
A Parisio, C Wiezorek, T Kyntäjä, J Elo… - … on Smart Grid, 2017 - ieeexplore.ieee.org
Microgrids are subsystems of the distribution grid operating as a single controllable system
either connected or isolated from the grid. In this paper, a novel cooperative model …
either connected or isolated from the grid. In this paper, a novel cooperative model …
Coordinated energy management for a cluster of buildings through deep reinforcement learning
Advanced control strategies can enable energy flexibility in buildings by enhancing on-site
renewable energy exploitation and storage operation, significantly reducing both energy …
renewable energy exploitation and storage operation, significantly reducing both energy …
Energy management in prosumer communities: A coordinated approach
R Verschae, T Kato, T Matsuyama - Energies, 2016 - mdpi.com
The introduction of uncontrollable renewable energy is having a positive impact on our
health, the climate, and the economy, but it is also pushing the limits of the power system …
health, the climate, and the economy, but it is also pushing the limits of the power system …
Hierarchical distributed framework for EV charging scheduling using exchange problem
B Khaki, C Chu, R Gadh - Applied energy, 2019 - Elsevier
In this paper, a distributed trilayer multi-agent framework is proposed for optimal electric
vehicle charging scheduling (EVCS). The framework reduces the negative effects of electric …
vehicle charging scheduling (EVCS). The framework reduces the negative effects of electric …
Co-optimization of system configurations and energy scheduling of multiple community integrated energy systems to improve photovoltaic self-consumption
C Wei, J Wang, Y Zhou, Y Li, W Liu - Renewable Energy, 2024 - Elsevier
Given the increasing integration of building photovoltaics and the accelerated transformation
of power systems, the supply-demand imbalance in photovoltaic communities has become a …
of power systems, the supply-demand imbalance in photovoltaic communities has become a …
ADMM-based hierarchical single-loop framework for EV charging scheduling considering power flow constraints
S Kiani, K Sheshyekani… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents a three-layer hierarchical distributed framework for optimal electric
vehicle charging scheduling (EVCS). The proposed hierarchical EVCS structure includes a …
vehicle charging scheduling (EVCS). The proposed hierarchical EVCS structure includes a …
Demand response for aggregated residential consumers with energy storage sharing
A novel distributed algorithm is proposed in this paper for a network of consumers coupled
by energy resource sharing constraints, which aims at minimizing the aggregated electricity …
by energy resource sharing constraints, which aims at minimizing the aggregated electricity …
Closed loop elastic demand control by dynamic energy pricing in smart grids
A Kaygusuz - Energy, 2019 - Elsevier
Broadcasting of dynamic energy price signals for consumer's demand response programs
(agents) is an effective and feasible way for demand side load management in future smart …
(agents) is an effective and feasible way for demand side load management in future smart …